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MagicBrief is the world's most advanced tool for creative research and analytics, empowering teams to launch winning ad campaigns. With features like MagicAI powered ad search engine, powerful AI search, theme filters, and AI scripts, MagicBrief helps users cut creative research time, monitor competitor activity, and identify top-performing ads. The application provides insights into ad account performance, automates reporting, and offers AI scoring framework for creative benchmarks. Trusted by over 5,000 teams, MagicBrief enhances creative output, speeds up work, and enables efficient collaboration between media buyers and creative teams.

Keep is an open-source AIOps platform designed for large enterprises, offering a comprehensive solution for managing alerts and events at scale. It provides features such as enrichment, workflows, a single pane of glass view, and over 90 integrations. Keep leverages AI technology to enhance IT operations by providing alert correlation based on past incidents and a continuous feedback loop. The platform integrates with various monitoring systems, incident response tools, ticketing systems, and more, offering advanced querying and data analysis capabilities. Keep is suitable for SREs, operators, engineers, startups, and global enterprises looking to efficiently manage alerts in complex environments.

WebDB is an open-source and efficient Database IDE that focuses on providing a secure and user-friendly platform for database management. It offers features such as automatic DBMS discovery, credential guessing, time machine for database version control, powerful queries editor with autocomplete and documentation, AI assistant integration, NoSQL structure management, intelligent data generation, and more. With a modern ERD view and support for various databases, WebDB aims to simplify database management tasks and enhance productivity for users.

Luxonis is an AI application that offers Visual AI solutions engineered for precision edge inference. The application provides stereo depth cameras with unique features and quality, enabling users to perform advanced vision tasks on-device, reducing latency and bandwidth demands. With open-source DepthAI API, users can create and deploy custom vision solutions that scale with their needs. Luxonis also offers real-world training data for self-improving vision intelligence and operates flawlessly through vibrations, temperature shifts, and extended use. The application integrates advanced sensing capabilities with up to 48MP cameras, wide field of view, IMUs, microphones, ToF, thermal, IR illumination, and active stereo for unparalleled perception.

Alloy.ai is an omnichannel revenue intelligence platform for consumer brands that helps visualize and analyze sales, supply chain, and forecasting data with full visibility into consumer demand and inventory. The platform connects real-time POS and inventory data from hundreds of retailers, providing a single view of sales and inventory. Alloy.ai uses AI and ML to identify new sales opportunities and potential problems, offering a normalized view of business data for better decision-making.

Monitr is a data visualization and analytics platform that allows users to query, visualize, and share data in one place. It helps in tracking key metrics, making data-driven decisions, and breaking down data silos to provide a unified view of data from various sources. Users can create charts and dashboards, connect to different data sources like Postgresql and MySQL, and collaborate with teammates on SQL queries. Monitr's AI features are powered by Meta AI's Llama 3 LLM, enabling the development of powerful and flexible analytics tools for maximizing data utilization.

BigPanda is an AI-powered ITOps platform that helps businesses automatically identify actionable alerts, proactively prevent incidents, and ensure service availability. It uses advanced AI/ML algorithms to analyze large volumes of data from various sources, including monitoring tools, event logs, and ticketing systems. BigPanda's platform provides a unified view of IT operations, enabling teams to quickly identify and resolve issues before they impact business-critical services.

Kraftful is an AI-powered tool that helps product teams collect, analyze, and prioritize user feedback. It integrates with various feedback sources, such as surveys, app store reviews, support tickets, and user interviews, to provide a comprehensive view of user needs and pain points. Kraftful uses natural language processing and machine learning to automatically categorize and summarize feedback, making it easy for product teams to identify trends and make data-driven decisions.

TrendEdge is an AI-driven platform that revolutionizes investment strategies by providing comprehensive insights through the analysis of real-time social trends and alternative data sources. It offers exclusive data access, AI-powered stock signals, and personalized recommendations to help users make informed and confident investment decisions. The platform integrates diverse data sources, including social media sentiment, technical indicators, and fundamental analysis, to provide a nuanced market view and uncover hidden trends.

Windward is a Decision Support Platform that empowers organizations with actionable Maritime AI insights and Organization Defined Risk tailored to optimize operational readiness and supply chain risk management. It provides innovative AI models, daily vessel activities monitoring, and predictive risk insights for various industries such as trading, shipping, supply chain, logistics, government, and public sector. Windward offers a holistic view of maritime risk by fusing multiple data sources and applying advanced machine learning models. The platform helps in vessel screening, business growth, exception insights, and predictive risk insights.

Re-View is an AI-powered platform that enables users to conduct surveys that capture more than words by utilizing user-friendly video survey forms. The platform allows users to understand emotions, uncover insights, and collect more and better data through authentic emotional connections. With features like automatic insights, efficient research at scale, stunning simplicity, and powerful research capabilities, Re-View offers a practical pricing model that makes research accessible to all. Users can easily create surveys, analyze responses with AI assistance, and gain valuable research reports to support decision-making.

Nudify.me is an AI-powered application that utilizes DeepNude technology to generate nudified images from uploaded photos. The app offers a simple and secure way to view individuals in the nude by predicting their appearance with high accuracy. Users can upload photos, select a generation mode, and receive the nudified result within seconds. Nudify.me also provides options for privacy settings and profit-sharing from public galleries. The application offers transparent pricing plans tailored to different user needs, with no hidden fees or long-term contracts.

Accio is a data modeling tool that allows users to define consistent relationships, metrics, and expressions for on-the-fly computations in reports and dashboards across various BI tools. It provides a syntax similar to GraphQL that allows users to define models, relationships, and metrics in a human-readable format. Accio also offers a user-friendly interface that provides data analysts with a holistic view of the relationships between their data models, enabling them to grasp the interconnectedness and dependencies within their data ecosystem. Additionally, Accio utilizes DuckDB as a caching layer to accelerate query performance for BI tools.

LetsView is a screen mirroring application that allows users to share screens between Windows, Mac, iOS, Android, and TV. It is a one-stop app for screen mirroring that offers features such as screen mirroring, remote control, and file transfer. LetsView is used in various fields such as education, business, and entertainment.

Komodo Health is a healthcare technology company that provides software applications to enable users to deliver exceptional value to their customers, colleagues, and patients. The company's Healthcare Map is the industry's most precise view of the U.S. healthcare system, and it combines the world's most comprehensive view of patient-encounters with innovative algorithms and decades of clinical expertise. Komodo Health's software applications are used by life sciences companies, payers, providers, and consultancies to improve the certainty of pre-launch plans, calculate Rx-based ROI for digital marketing, find patients with complicated or rare conditions, and more.

Paradox is an AI-powered recruiting platform that aims to revolutionize the recruitment process through the use of artificial intelligence. The platform streamlines the recruiting process to enhance candidate and recruiter experiences, creating better connections between job seekers and companies. Paradox values innovation, client success, and creating magical moments through assistive intelligence. The platform offers various solutions for talent acquisition, including Conversational ATS, Career Sites, CX, Capture, Scheduling, and Events. With a focus on simplicity and continuous improvement, Paradox is dedicated to changing the world of recruiting one company and one job seeker at a time.

SQOR is a plug-n-play AI tool designed for C-Level Executives to make stress-free decision-making in business intelligence. It provides a zero-code BI solution, offering KPIs at your fingertips without the need for expert knowledge. The platform enables users to access and share business intelligence data from various SaaS tools, facilitating collaboration and informed decision-making across the organization. SQOR's unique Execution Score Algorithm evaluates execution health at different levels, ensuring stakeholders are empowered with actionable insights.

Integrito is an AI detection tool for writing activity analysis, designed to help teachers prevent cheating, students prove their contribution, and institutions promote honesty. It offers a comprehensive text analysis to ensure authenticity, detect suspicious activity, and track the writing process. Integrito empowers users to evaluate contribution and editing time, view the history of the writing process, and unveil contract-cheating and ghost-writing by writing services. The tool aims to enhance critical thinking, foster creativity, and promote high standards in academia by providing plagiarism checking, AI detection, grammar checking, and authorship verification features.

Socure is a revolutionary digital identity verification and fraud prevention platform that leverages advanced AI/ML technology to provide the most accurate and comprehensive identity verification and fraud prediction solutions. The platform offers a wide range of features including graph-defined identity verification, fraud risk assessment, compliance solutions, account intelligence, decisioning analytics, and reporting. Socure's ID+ platform integrates real-time intelligence from billions of predictions and outcomes to deliver maximum accuracy and eliminate the need for disparate products. With up to 98% auto-approvals across all demographics, Socure helps organizations prevent fraud, streamline compliance, and onboard good customers efficiently.

KYP.ai is a productivity intelligence platform that offers a 360° view of organizations across people, process, and technology dimensions. It provides instant productivity intelligence, end-to-end process optimization, holistic productivity insights, ROI-driven automation, and unparalleled scalability. The platform helps in live visibility, immediate impact, hybrid workplace management, technology landscape rationalization, and AI-powered aggregation and analysis. KYP.ai focuses on workforce enablement, no integration hassles, no-code configuration, and secure, privacy-compliant data processing.

The AI Dev Gallery is an app designed to help Windows developers integrate AI capabilities within their own apps and projects. It contains over 25 interactive samples powered by local AI models, allows users to explore, download, and run models from Hugging Face and GitHub, and provides the ability to view the C# source code and export a standalone Visual Studio project for each sample. The app is open-source and welcomes contributions and suggestions from the community.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

aiohttp_debugtoolbar provides a debug toolbar for aiohttp web applications. It is a port of pyramid_debugtoolbar and offers basic functionality such as basic panels, intercepting redirects, pretty printing exceptions, an interactive python console, and showing source code. The library is still in early development stages and offers various debug panels for monitoring different aspects of the web application. It is a useful tool for developers working with aiohttp to debug and optimize their applications.

Page Assist is an open-source Chrome Extension that provides a Sidebar and Web UI for your Local AI model. It allows you to interact with your model from any webpage.

This open hardware project aims to extend the life of Volvo P2 platform vehicles by updating them to current EU safety and emission standards. It involves designing and prototyping OEM hardware electronics that can replace existing electronics in these vehicles, using the existing wiring and without requiring reverse engineering or modifications. The project focuses on serviceability, maintenance, repairability, and personal ownership safety, and explores the advantages of using open solutions compared to conventional hardware electronics solutions.

The ai-explorables repository contains code for AI Explorables, a tool that allows users to make changes in the source code and view the changes locally. It is not an officially supported Google product.

Code2Prompt is a powerful command-line tool that generates comprehensive prompts from codebases, designed to streamline interactions between developers and Large Language Models (LLMs) for code analysis, documentation, and improvement tasks. It bridges the gap between codebases and LLMs by converting projects into AI-friendly prompts, enabling users to leverage AI for various software development tasks. The tool offers features like holistic codebase representation, intelligent source tree generation, customizable prompt templates, smart token management, Gitignore integration, flexible file handling, clipboard-ready output, multiple output options, and enhanced code readability.

CodeTF is a Python transformer-based library for code large language models (Code LLMs) and code intelligence. It provides an interface for training and inferencing on tasks like code summarization, translation, and generation. The library offers utilities for code manipulation across various languages, including easy extraction of code attributes. Using tree-sitter as its core AST parser, CodeTF enables parsing of function names, comments, and variable names. It supports fast model serving, fine-tuning of LLMs, various code intelligence tasks, preprocessed datasets, model evaluation, pretrained and fine-tuned models, and utilities to manipulate source code. CodeTF aims to facilitate the integration of state-of-the-art Code LLMs into real-world applications, ensuring a user-friendly environment for code intelligence tasks.

Mojo is a new programming language that combines Python syntax and ecosystem with systems programming and metaprogramming features. It aims to bridge the gap between research and production, designed to be the best way to extend Python over time. The repository includes source code for Mojo examples, documentation hosted at modular.com, and the Mojo standard library. It has two primary branches: 'main' for stable released versions and 'nightly' for the latest builds. To install Mojo, follow the guide for the last released build or use the nightly builds for a view of the development progress. Contributions are welcome on the 'nightly' branch, and the repository is licensed under the Apache License v2.0 with LLVM Exceptions.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

TheNinja-RPG is the official source code for the game www.TheNinja-RPG.com. It relies on external services for authentication, websockets, and database. The setup involves signing up for free accounts on services like Clerk, Planetscale, Pusher, and Upstash. The project is bootstrapped using VScode devcontainer and docker for easy setup. Various make commands are available for local development. The source code is released with no license to protect its exclusivity.

Pieces for Developers is a closed-source Obsidian plugin designed to revolutionize coding workflows by incorporating key capabilities and favorite features directly into the Obsidian environment. The plugin, Pieces Copilot for Obsidian, enhances coding and problem-solving experiences by providing insights on code snippets, generating samples, and facilitating navigation through PRs. Users can capture, manage, share, and discover code snippets and developer materials with ease, bringing efficiency and organization to their coding experience.

This repository contains the source code for the SIGIR 2023 paper 'Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited'. It provides resources for evaluating foundation, transferable, multi-modal, and LLM recommendation models, along with datasets, pre-trained models, and training strategies for IDRec and MoRec using in-batch debiased cross-entropy loss. The repository also offers large-scale datasets, code for SASRec with in-batch debias cross-entropy loss, and information on joining the lab for research opportunities.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

LF AI & Data Landscape is a map to explore open source projects in the AI & Data domains, highlighting companies that are members of LF AI & Data. It showcases members of the Foundation and is modelled after the Cloud Native Computing Foundation landscape. The landscape includes current version, interactive version, new entries, logos, proper SVGs, corrections, external data, best practices badge, non-updated items, license, formats, installation, vulnerability reporting, and adjusting the landscape view.

The AWS Generative AI Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, called constructs. The goal of AWS Generative AI CDK Constructs is to help developers build generative AI solutions using pattern-based definitions for their architecture. The patterns defined in AWS Generative AI CDK Constructs are high level, multi-service abstractions of AWS CDK constructs that have default configurations based on well-architected best practices. The library is organized into logical modules using object-oriented techniques to create each architectural pattern model.

This repository contains Refact WebUI for fine-tuning and self-hosting of code models, which can be used inside Refact plugins for code completion and chat. Users can fine-tune open-source code models, self-host them, download and upload Lloras, use models for code completion and chat inside Refact plugins, shard models, host multiple small models on one GPU, and connect GPT-models for chat using OpenAI and Anthropic keys. The repository provides a Docker container for running the self-hosted server and supports various models for completion, chat, and fine-tuning. Refact is free for individuals and small teams under the BSD-3-Clause license, with custom installation options available for GPU support. The community and support include contributing guidelines, GitHub issues for bugs, a community forum, Discord for chatting, and Twitter for product news and updates.

OpenRL is an open-source general reinforcement learning research framework that supports training for various tasks such as single-agent, multi-agent, offline RL, self-play, and natural language. Developed based on PyTorch, the goal of OpenRL is to provide a simple-to-use, flexible, efficient and sustainable platform for the reinforcement learning research community. It supports a universal interface for all tasks/environments, single-agent and multi-agent tasks, offline RL training with expert dataset, self-play training, reinforcement learning training for natural language tasks, DeepSpeed, Arena for evaluation, importing models and datasets from Hugging Face, user-defined environments, models, and datasets, gymnasium environments, callbacks, visualization tools, unit testing, and code coverage testing. It also supports various algorithms like PPO, DQN, SAC, and environments like Gymnasium, MuJoCo, Atari, and more.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Rough day at work? Stressed out? Or just want to see some funny memes? I got you! Type "help" for More Information

Moved to https://chat.openai.com/g/g-wu8Z1xx4j-futuristic-view. Creates futuristic, tech-themed images from user prompts.

Uses The Point Of View Guide by Philip Morgan to answer questions about point of view (POV)

Creates full-view 3D icons

A Human View on the AI Age

I analyze Street View images to guess countries and cities.

Explore any location with a visual street view perspective.

Explains and defends the Catholic view of the Trinity.

Snap a picture of your meal to view a detailed list of its calorie content!

Informative bot on Israel-Palestine conflict from an Israeli view

Discuss with Steve Jobs GPT to get his view point on your questions

Theology bot with a focus on a Catholic view of the Creator-Creature distinction

Discover geographic info, explore landmarks, view detailed maps, and enjoy vivid visuals.

Balances out bias and researches live reports to give you a more balanced view (Paste in the text you want to check)

Analyzes email headers for security insights, presenting data in a structured table view.

Get the key messages, takeaways, contrarian view from a post (link, paste text)

The Great (Pretrained Transformer) Bake Off Challenge! Bake a cake, Get roasted by Ai. Type K to view all game modes. v1.0

Want more powerful agents? PMOracle predicts problems & offers real-time solutions. PMSherpa coaches & personalizes project journeys. PMNexus integrates tools for a unified view. PMA uses simulations to craft success. PMC catalyst automates & optimizes, becoming your proactive teammate.

Hello! I'm your Rust language learning and practical assistant created by AlexZhang. I can help you learn and practice Rust whether you are a beginner or professional. I can provide suitable learning resources and hands-on projects for you. You can view all supported shortcut commands with /list.

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