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BlockSurvey is an AI-driven survey platform that enables users to create, analyze, and manage surveys with a focus on data privacy and ownership. The platform offers end-to-end encryption, AI survey creation and analysis features, anonymous surveys, token-gated forms, and white-label customization. BlockSurvey empowers users to collect actionable insights securely, protect their reputation, boost trust and credibility, elevate brand status, and engage respondents with immersive survey experiences. With a strong emphasis on privacy and user control, BlockSurvey is designed for Web3 companies and individuals seeking data security and integrity in survey solutions.

TurboHire is a recruitment automation platform that provides a comprehensive suite of tools to streamline and enhance the entire recruitment process. It offers modules for candidate sourcing, talent screening, candidate engagement, interview automation, offer and onboarding, and recruitment analytics. TurboHire leverages artificial intelligence (AI) to automate various tasks, such as candidate scoring, pre-screening assessments, and interview scheduling. The platform integrates with leading HRMS systems and job boards, providing a seamless and efficient recruitment experience. TurboHire is trusted by over 120 companies across various industries, including IT, manufacturing, BFSI, and pharma.

MechanicBotAI is an AI-powered application designed to help car owners diagnose issues with their vehicles quickly and accurately. By simply describing the problems they are experiencing, users can receive a precise diagnosis, saving time and money on unnecessary repairs. The app guides users through a simple 3-step process, tailored specifically to their car model, providing a user-friendly and personalized experience. MechanicBotAI aims to eliminate the guesswork involved in car maintenance and empower users to make informed decisions about their vehicle's health.

AutoPod is a suite of plug-ins for Adobe Premiere Pro that automates many of the time-consuming tasks involved in editing video podcasts and shows. With AutoPod, you can save hours of editing time each week, and get a finished edit that is ready to be published.

Undress AI Pro is a controversial computer vision application that uses machine learning to remove clothing from images of people. It was based on deep learning and generative adversarial networks (GANs). The technology powering Undress AI and DeepNude was based on deep learning and generative adversarial networks (GANs). GANs involve two neural networks competing against each other - a generator creates synthetic images trying to mimic the training data, while a discriminator tries to distinguish the real images from the generated ones. Through this adversarial process, the generator learns to produce increasingly realistic outputs. For Undress AI, the GAN was trained on a dataset of nude and clothed images, allowing it to "unclothe" people in new images by generating the nudity.

Get-Headshot is an AI-powered headshot generator that provides professional-quality headshots at an affordable price. With Get-Headshot, you can create custom headshots in minutes, without the need for a photographer. Simply upload your photos, select your desired style, and let Get-Headshot's AI do the rest. Get-Headshot offers a variety of styles to choose from, so you can find the perfect look for your needs. And with its fast turnaround time, you'll have your headshots in no time.

Get-offer.me is an AI Interview Assistant application designed to help users excel in job interviews by providing real-time assistance with answers. The AI assistant supports over 20 languages and seamlessly integrates with various online meeting software. By offering live support, contextually appropriate responses, and boosting confidence, Get-offer.me aims to enhance users' interview performance and increase their chances of securing job offers.

Otter.ai is an AI meeting assistant application that provides users with the ability to record audio, write notes, automatically capture slides, and generate meeting summaries. Users can collaborate with teammates in real-time, add comments, highlight key points, and assign action items. Otter.ai helps companies and organizations to write notes and summarize meetings 30 times faster. The application also offers features like automated slide capture and automated meeting notes, which can be connected to Google or Microsoft calendar to join and record meetings on platforms like Zoom, Microsoft Teams, and Google Meet. Otter.ai aims to streamline meeting processes and enhance productivity by leveraging AI technology.

Popmenu is an AI-powered marketing technology platform designed to help restaurants grow their business. It offers solutions such as website design, dynamic menu technology, online ordering, marketing automation, and AI phone answering. Popmenu aims to simplify restaurant operations, capture guest preferences, automate personalized marketing, and consolidate tools for better efficiency. With a focus on independent restaurants, quick service restaurants, hospitality groups, and full-service restaurants, Popmenu helps owners enhance customer service, improve margins, and attract more guests. The platform has received positive reviews from clients and is known for its exceptional customer service.

Mem is an AI notes app designed to keep users organized by organizing notes, providing quick access to information, and offering AI-powered features such as Mem Chat for finding specific information, Related Notes for showing related content, and AI-powered Collections for simplifying organization. The app is trusted by leaders and offers just-in-time suggestions, smart search capabilities, and collaboration features. Mem is loved by entrepreneurs, executives, content creators, researchers, and consultants for its ability to help with drafting pitches, remembering networking events, jotting down ideas, and creating various business-related documents.

MonAi is an AI-powered expense tracker that simplifies the process of tracking expenses by allowing users to input their expenses through voice messages. The AI technology automatically categorizes the expenses and generates a short description and amount. Users can easily confirm and save the details without the need for logging in. The data is securely stored in the user's private iCloud account. MonAi also enables users to share and collaborate on expense tracking. It offers a convenient and efficient way to manage expenses with the help of AI technology.

Success.ai is an AI-powered platform designed to help businesses unlock hypergrowth by providing solutions for lead generation, email outreach, warm-up services, and advanced AI writing. The platform offers unlimited email sending accounts, warm-up tools, and AI-powered email writing capabilities to supercharge growth and maximize efficiency. With a focus on B2B lead generation, Success.ai enables users to access a vast database of over 700 million verified prospects, personalize email campaigns using AI, and streamline lead responses for increased deal closures. The platform also offers advanced analytics, inbox rotation, and email validation features to optimize email marketing strategies and ensure high deliverability rates.

Pathfinder is a career co-pilot that helps users connect with others who share similar career experiences, interests, or questions. It uses AI to find the perfect people and career advice for users in seconds. Pathfinder is building the world's first Career Co-pilot that taps into its Career Advice Network. Users can simply describe their career problem, interests, or questions, and the AI will find the perfect people and career advice for them in seconds.

Typeboss is an AI-powered content creation platform that helps users generate high-quality content in seconds. With a wide range of tools and templates, Typeboss can help you create blog posts, articles, social media content, marketing copy, and more. Typeboss is easy to use and affordable, making it a great option for businesses of all sizes.

SocialBee is an AI-powered social media management tool that helps businesses and individuals manage their social media accounts efficiently. It offers a range of features, including content creation, scheduling, analytics, and collaboration, to help users plan, create, and track their social media campaigns. SocialBee also provides access to a team of social media experts who can help users with their social media strategy and execution.

Descript is an AI-powered editing assistant that allows users to edit videos and podcasts with ease. It offers features such as video editing, multitrack audio editing, clip selection, remote recording, captions, screen recording, transcription, AI speech generation, and more. Descript's AI capabilities help users create high-quality content effortlessly, making it a valuable tool for creators and teams. With a user-friendly interface and advanced AI features, Descript simplifies the video editing process and enhances productivity.

Laxis is an AI Meeting Assistant designed to empower revenue teams by capturing and distilling key insights from customer interactions effortlessly. It offers seamless integration across platforms, from online meetings to CRM updates, with a user-friendly interface. Laxis helps users stay focused during meetings, auto-generate meeting summaries, identify customer requirements, and extract valuable insights. It supports multilingual interactions, real-time transcriptions, and provides answers based on past conversations. Trusted by over 35,000 business professionals from 3000 organizations, Laxis saves time, improves note-taking, and enhances communication with clients and prospects.

MailCheetah AI is an upcoming E-Mail Marketing platform that aims to revolutionize the way businesses conduct their email marketing campaigns. It offers a range of features such as unlimited emails, contacts, campaigns, and lists, along with AI-powered email subject and content generation. The platform also includes a campaign scheduler, built-in unsubscribe functionality, and support for multiple businesses/clients. With a commercial license and 24/7 support, MailCheetah AI is designed to provide a comprehensive and cost-effective solution for businesses of all sizes.

SurveyMonkey is a popular free online survey tool that offers a wide range of features to help users create, distribute, and analyze surveys. With integrations, customizable forms, AI-powered survey creation, and market research solutions, SurveyMonkey caters to various industries and roles. It provides templates for different use cases like customer satisfaction, employee feedback, and event registration. The platform also offers resources, blog posts, and customer success stories to guide users in maximizing the benefits of survey data.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

CSGHub is an open source, trustworthy large model asset management platform that can assist users in governing the assets involved in the lifecycle of LLM and LLM applications (datasets, model files, codes, etc). With CSGHub, users can perform operations on LLM assets, including uploading, downloading, storing, verifying, and distributing, through Web interface, Git command line, or natural language Chatbot. Meanwhile, the platform provides microservice submodules and standardized OpenAPIs, which could be easily integrated with users' own systems. CSGHub is committed to bringing users an asset management platform that is natively designed for large models and can be deployed On-Premise for fully offline operation. CSGHub offers functionalities similar to a privatized Huggingface(on-premise Huggingface), managing LLM assets in a manner akin to how OpenStack Glance manages virtual machine images, Harbor manages container images, and Sonatype Nexus manages artifacts.

This repository serves as a comprehensive guide for technical teams interested in developing conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. It covers theoretical knowledge and practical code implementations, making it suitable for individuals with a basic technical background. The content includes information on large language models (LLMs), transformers, prompt engineering, embeddings, vector stores, and various other key concepts related to conversational AI. The repository also provides hands-on examples for two different use cases, along with implementation details and performance analysis.

Ianvs is a distributed synergy AI benchmarking project incubated in KubeEdge SIG AI. It aims to test the performance of distributed synergy AI solutions following recognized standards, providing end-to-end benchmark toolkits, test environment management tools, test case control tools, and benchmark presentation tools. It also collaborates with other organizations to establish comprehensive benchmarks and related applications. The architecture includes critical components like Test Environment Manager, Test Case Controller, Generation Assistant, Simulation Controller, and Story Manager. Ianvs documentation covers quick start, guides, dataset descriptions, algorithms, user interfaces, stories, and roadmap.

Giskard is an open-source Python library that automatically detects performance, bias & security issues in AI applications. The library covers LLM-based applications such as RAG agents, all the way to traditional ML models for tabular data.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

HAMi is a Heterogeneous AI Computing Virtualization Middleware designed to manage Heterogeneous AI Computing Devices in a Kubernetes cluster. It allows for device sharing, device memory control, device type specification, and device UUID specification. The tool is easy to use and does not require modifying task YAML files. It includes features like hard limits on device memory, partial device allocation, streaming multiprocessor limits, and core usage specification. HAMi consists of components like a mutating webhook, scheduler extender, device plugins, and in-container virtualization techniques. It is suitable for scenarios requiring device sharing, specific device memory allocation, GPU balancing, low utilization optimization, and scenarios needing multiple small GPUs. The tool requires prerequisites like NVIDIA drivers, CUDA version, nvidia-docker, Kubernetes version, glibc version, and helm. Users can install, upgrade, and uninstall HAMi, submit tasks, and monitor cluster information. The tool's roadmap includes supporting additional AI computing devices, video codec processing, and Multi-Instance GPUs (MIG).

CredSweeper is a tool designed to detect credentials like tokens, passwords, and API keys in directories or files. It helps users identify potential exposure of sensitive information by scanning lines, filtering, and utilizing an AI model. The tool reports lines containing possible credentials, their location, and the expected type of credential.

Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, Tensorflow, XGBoost, MPI, Paddle and others. Training Operator allows you to use Kubernetes workloads to effectively train your large models via Kubernetes Custom Resources APIs or using Training Operator Python SDK. > Note: Before v1.2 release, Kubeflow Training Operator only supports TFJob on Kubernetes. * For a complete reference of the custom resource definitions, please refer to the API Definition. * TensorFlow API Definition * PyTorch API Definition * Apache MXNet API Definition * XGBoost API Definition * MPI API Definition * PaddlePaddle API Definition * For details of all-in-one operator design, please refer to the All-in-one Kubeflow Training Operator * For details on its observability, please refer to the monitoring design doc.

OpenKF (Open Knowledge Flow) is an online intelligent customer service system. It is an open-source customer service system based on OpenIM, supporting LLM (Local Knowledgebase) customer service and multi-channel customer service. It is easy to integrate with third-party systems, deploy, and perform secondary development. The system provides features like login page, config page, dashboard page, platform page, and session page. Users can quickly get started with OpenKF by following the installation and run instructions. The architecture follows MVC design with a standardized directory structure. The community encourages involvement through community meetings, contributions, and development. OpenKF is licensed under the Apache 2.0 license.

Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is the project which is agnostic to machine learning (ML) frameworks. It can tune hyperparameters of applications written in any language of the users’ choice and natively supports many ML frameworks, such as TensorFlow, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom Resources with out of the box support for Kubeflow Training Operator, Argo Workflows, Tekton Pipelines and many more.

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

Dataflow-oriented robotic application (dora-rs) is a framework that makes creation of robotic applications fast and simple. Building a robotic application can be summed up as bringing together hardwares, algorithms, and AI models, and make them communicate with each others. At dora-rs, we try to: make integration of hardware and software easy by supporting Python, C, C++, and also ROS2. make communication low latency by using zero-copy Arrow messages. dora-rs is still experimental and you might experience bugs, but we're working very hard to make it stable as possible.

CodeProject.AI Server is a standalone, self-hosted, fast, free, and open-source Artificial Intelligence microserver designed for any platform and language. It can be installed locally without the need for off-device or out-of-network data transfer, providing an easy-to-use solution for developers interested in AI programming. The server includes a HTTP REST API server, backend analysis services, and the source code, enabling users to perform various AI tasks locally without relying on external services or cloud computing. Current capabilities include object detection, face detection, scene recognition, sentiment analysis, and more, with ongoing feature expansions planned. The project aims to promote AI development, simplify AI implementation, focus on core use-cases, and leverage the expertise of the developer community.

ReductStore is a high-performance time series database designed for storing and managing large amounts of unstructured blob data. It offers features such as real-time querying, batching data, and HTTP(S) API for edge computing, computer vision, and IoT applications. The database ensures data integrity, implements retention policies, and provides efficient data access, making it a cost-effective solution for applications requiring unstructured data storage and access at specific time intervals.

Ainneve is an example game for Evennia, created by the Evennia community as a base for learning and building off of. It is currently in early development stages and undergoing major refactoring. The game provides a starting point for users to explore game systems and world settings, with extensive documentation available. Installation is straightforward, with pre-configured settings and clear instructions for setting up and starting the server. The project welcomes contributions and offers opportunities for users to get involved by checking open issues and joining the community Discord channel. Ainneve is licensed under the BSD license.

DocsGPT is an open-source documentation assistant powered by GPT models. It simplifies the process of searching for information in project documentation by allowing developers to ask questions and receive accurate answers. With DocsGPT, users can say goodbye to manual searches and quickly find the information they need. The tool aims to revolutionize project documentation experiences and offers features like live previews, Discord community, guides, and contribution opportunities. It consists of a Flask app, Chrome extension, similarity search index creation script, and a frontend built with Vite and React. Users can quickly get started with DocsGPT by following the provided setup instructions and can contribute to its development by following the guidelines in the CONTRIBUTING.md file. The project follows a Code of Conduct to ensure a harassment-free community environment for all participants. DocsGPT is licensed under MIT and is built with LangChain.

Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.

This repository contains data and code for the experiments in the SummHay paper. It includes publicly released Haystacks in conversational and news domains, along with scripts for running the pipeline, visualizing results, and benchmarking automatic evaluation. The data structure includes topics, subtopics, insights, queries, retrievers, summaries, evaluation summaries, and documents. The pipeline involves scripts for retriever scores, summaries, and evaluation scores using GPT-4o. Visualization scripts are provided for compiling and visualizing results. The repository also includes annotated samples for benchmarking and citation information for the SummHay paper.

ShortcutsBench is a project focused on collecting and analyzing workflows created in the Shortcuts app, providing a dataset of shortcut metadata, source files, and API information. It aims to study the integration of large language models with Apple devices, particularly focusing on the role of shortcuts in enhancing user experience. The project offers insights for Shortcuts users, enthusiasts, and researchers to explore, customize workflows, and study automated workflows, low-code programming, and API-based agents.

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