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Artemis AI is an AI-powered application that offers personalized bedtime stories focusing on empathy and emotional intelligence for children. The app features inclusive representation, personalized storytelling, and a free trial with limitless imagination. Users can create unique stories tailored to their child's needs and interests, fostering a stronger bond and love for reading. With over 125K story combinations built-in, Artemis AI aims to shape meaningful moments and impart valuable life lessons through empathy-based storytelling.

Cmd J – ChatGPT for Chrome is a Chrome extension that allows users to use ChatGPT on any tab without having to copy and paste. It offers a variety of features to help users improve their writing, generate blog posts, crush coding issues, boost their social engagement, and fix code bugs faster. The extension is easy to use and can be accessed with a simple keyboard shortcut.

Package is a generative AI rendering tool that helps homeowners envision different renovation styles, receive recommended material packages, and streamline procurement with just one click. It offers a wide range of design packages curated by experts, allowing users to customize items to fit their specific style. Package also provides 3D renderings, material management, and personalized choices, making it easy for homeowners to bring their design ideas to life.

Cascadeur is a standalone 3D software that lets you create keyframe animation, as well as clean up and edit any imported ones. Thanks to its AI-assisted and physics tools you can dramatically speed up the animation process and get high quality results. It works with .FBX, .DAE and .USD files making it easy to integrate into any animation workflow.

Hoop.dev is an AI application that provides live AI data masking in Rails console sessions. It offers shield Rails console access, automated employee onboarding & off-boarding, and AI data masking to protect customer data with a plug & play PII filter. The application enables compliant access without disrupting speed, automates HIPAA, SOC 1/2, PCI, GDPR, & other security controls, and reduces Rails Console use by finding repeated operations and turning Ruby scripts into repeatable no-code UIs.

GptPanda is a free AI-assistant application designed for Slack users to enhance teamwork and productivity. It integrates seamlessly into Slack workspaces, offering unlimited requests and support in multiple languages. Users can communicate with GptPanda in personal messages or corporate chats, allowing it to assist with daily tasks, answer questions, and manage workspaces efficiently. The application prioritizes user data security through encryption and provides 24/7 customer support for any inquiries or issues.

Meow Apps is a collection of powerful WordPress plugins designed to supercharge websites with AI capabilities, optimization features, and more. Created by Jordy Meow, a software engineer and photographer based in Tokyo, the plugins aim to enhance productivity and user experience on WordPress platforms. With a focus on optimization, imagery, and AI integration, Meow Apps offers a range of tools to elevate content, automate social posts, clean databases, manage media files, and add AI features like chatbots and content generation. The plugins are known for their friendly user interface, extensive features, and support for databases of all sizes. Meow Apps strives for perfection by providing high-quality tools that can transform the WordPress experience for users.

FastBots.ai is an AI chatbot builder that allows users to create custom chatbots trained on their own data. These chatbots can be integrated into websites to provide customer support, sales assistance, and other services. FastBots.ai is easy to use and requires no coding. It supports a wide range of content types, including text, PDFs, and YouTube videos. FastBots.ai also offers a variety of features, such as customization options, chat history storage, and Zapier integration.

The Visual Studio Marketplace is a platform where users can find and publish extensions for Visual Studio family of products, such as Visual Studio, Visual Studio Code, and Azure DevOps. It offers a wide range of extensions to enhance development workflows and productivity. Users can explore and install various tools, themes, and integrations to customize their development environment.

Tactiq is a live transcription and AI summary tool for Google Meet, Zoom, and MS Teams. It provides real-time transcriptions, speaker identification, and AI-powered insights to help users focus on the meeting and take effective notes. Tactiq also offers one-click AI actions, such as generating meeting summaries, crafting follow-up emails, and formatting project updates, to streamline post-meeting workflows.

Colorcinch is an online photo editor and AI cartoonizer that allows users to easily edit and transform their photos into artwork. It offers a wide range of features, including background removal, image cropping and resizing, color adjustment, and the ability to add filters and effects. Colorcinch also has a large library of stock photography, graphics, and icons that users can use to enhance their photos. The platform is available online and offline, making it easy for users to access their projects from anywhere.

Machinet is an AI Agent designed for full-stack software developers. It serves as an AI-based IDE that assists developers in various tasks, such as code generation, terminal access, front-end debugging, architecture suggestions, refactoring, and mentoring. The tool aims to enhance productivity and streamline the development workflow by providing intelligent assistance and support throughout the coding process. Machinet prioritizes security and privacy, ensuring that user data is encrypted, secure, and never stored for training purposes.

Shakespeare Toolbar is an AI-powered writing tool that helps you write better and faster. It is available as a Chrome extension and can be used on any website. With Shakespeare Toolbar, you can rephrase emails, summarize documents, write social media posts, and more. It supports over 10 languages and is available for a one-time purchase of $49.

GPTConsole is an AI-powered platform that helps developers build production-ready applications faster and more efficiently. Its AI agents can generate code for a variety of applications, including web applications, AI applications, and landing pages. GPTConsole also offers a range of features to help developers build and maintain their applications, including an AI agent that can learn your entire codebase and answer your questions, and a CLI tool for accessing agents directly from the command line.

Stable Diffusion is an AI art generation tool that allows users to create high-quality images from text descriptions. It offers a user-friendly platform for both beginners and experts to explore AI art creation without deep technical knowledge. The tool excels in producing complex, detailed, and customizable images, making it ideal for artists, designers, and anyone looking to integrate AI into their creative process. Stable Diffusion provides unprecedented creative freedom through features like image generation, inpainting, outpainting, and text-guided image-to-image translation.

Pinokio is a browser that enables users to easily install, run, and control various AI applications on their computer with just one click. It provides a platform for exploring, learning, and sharing scripts developed by the community, allowing users to access a wide range of AI tools and applications effortlessly.

Remodel AI is an innovative AI application that allows users to renovate their homes with ease. By simply taking photos of their home's interior or exterior, users can instantly visualize fully remodeled versions, new flooring, different walls, and more. The app leverages artificial intelligence to provide various interior design styles and architecture options for users to choose from. With features like interior and exterior remodeling, new flooring installation, wall painting, landscaping visualization, and object reskinning, Remodel AI offers a comprehensive solution for home renovation enthusiasts. The app has received accolades for its user-friendly interface and ability to transform home design ideas into reality.

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MxChat is an affordable AI chatbot solution that helps businesses boost user engagement and streamline support. It offers advanced AI-powered chatbot capabilities, allowing users to fully customize settings and appearance to match their website's branding. With extensive knowledgebase support and easy one-click installation on WordPress sites, MxChat provides a seamless chatbot experience for businesses of all sizes. The application offers different pricing plans to cater to various needs, with options for chat transcript review, theme customization, and personalized settings. MxChat also provides comprehensive support through its Pro + Setup and Alignment package, ensuring optimal performance and alignment with users' requirements.

Cleafive is an AI-powered tool designed to streamline and optimize the job search process by automating job applications on LinkedIn. Users can specify their job search criteria, provide their CV for profile analysis, and install a Chrome extension to trigger automatic job applications based on their preferences. The tool leverages artificial intelligence to summarize job descriptions, target specific companies, and filter out rejection emails, allowing users to focus on relevant opportunities and save time.

Glide is a cloud-native LLM gateway that provides a unified REST API for accessing various large language models (LLMs) from different providers. It handles LLMOps tasks such as model failover, caching, key management, and more, making it easy to integrate LLMs into applications. Glide supports popular LLM providers like OpenAI, Anthropic, Azure OpenAI, AWS Bedrock (Titan), Cohere, Google Gemini, OctoML, and Ollama. It offers high availability, performance, and observability, and provides SDKs for Python and NodeJS to simplify integration.

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 |

This Helm chart bootstraps an Airflow deployment on a Kubernetes cluster using the Helm package manager. The version of this chart does not correlate to any other component. Users should not expect feature parity between OSS airflow chart and the Astronomer airflow-chart for identical version numbers. To install this helm chart remotely (using helm 3) kubectl create namespace airflow helm repo add astronomer https://helm.astronomer.io helm install airflow --namespace airflow astronomer/airflow To install this repository from source sh kubectl create namespace airflow helm install --namespace airflow . Prerequisites: Kubernetes 1.12+ Helm 3.6+ PV provisioner support in the underlying infrastructure Installing the Chart: sh helm install --name my-release . The command deploys Airflow on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation. Upgrading the Chart: First, look at the updating documentation to identify any backwards-incompatible changes. To upgrade the chart with the release name `my-release`: sh helm upgrade --name my-release . Uninstalling the Chart: To uninstall/delete the `my-release` deployment: sh helm delete my-release The command removes all the Kubernetes components associated with the chart and deletes the release. Updating DAGs: Bake DAGs in Docker image The recommended way to update your DAGs with this chart is to build a new docker image with the latest code (`docker build -t my-company/airflow:8a0da78 .`), push it to an accessible registry (`docker push my-company/airflow:8a0da78`), then update the Airflow pods with that image: sh helm upgrade my-release . --set images.airflow.repository=my-company/airflow --set images.airflow.tag=8a0da78 Docker Images: The Airflow image that are referenced as the default values in this chart are generated from this repository: https://github.com/astronomer/ap-airflow. Other non-airflow images used in this chart are generated from this repository: https://github.com/astronomer/ap-vendor. Parameters: The complete list of parameters supported by the community chart can be found on the Parameteres Reference page, and can be set under the `airflow` key in this chart. The following tables lists the configurable parameters of the Astronomer chart and their default values. | Parameter | Description | Default | | :----------------------------- | :-------------------------------------------------------------------------------------------------------- | :---------------------------- | | `ingress.enabled` | Enable Kubernetes Ingress support | `false` | | `ingress.acme` | Add acme annotations to Ingress object | `false` | | `ingress.tlsSecretName` | Name of secret that contains a TLS secret | `~` | | `ingress.webserverAnnotations` | Annotations added to Webserver Ingress object | `{}` | | `ingress.flowerAnnotations` | Annotations added to Flower Ingress object | `{}` | | `ingress.baseDomain` | Base domain for VHOSTs | `~` | | `ingress.auth.enabled` | Enable auth with Astronomer Platform | `true` | | `extraObjects` | Extra K8s Objects to deploy (these are passed through `tpl`). More about Extra Objects. | `[]` | | `sccEnabled` | Enable security context constraints required for OpenShift | `false` | | `authSidecar.enabled` | Enable authSidecar | `false` | | `authSidecar.repository` | The image for the auth sidecar proxy | `nginxinc/nginx-unprivileged` | | `authSidecar.tag` | The image tag for the auth sidecar proxy | `stable` | | `authSidecar.pullPolicy` | The K8s pullPolicy for the the auth sidecar proxy image | `IfNotPresent` | | `authSidecar.port` | The port the auth sidecar exposes | `8084` | | `gitSyncRelay.enabled` | Enables git sync relay feature. | `False` | | `gitSyncRelay.repo.url` | Upstream URL to the git repo to clone. | `~` | | `gitSyncRelay.repo.branch` | Branch of the upstream git repo to checkout. | `main` | | `gitSyncRelay.repo.depth` | How many revisions to check out. Leave as default `1` except in dev where history is needed. | `1` | | `gitSyncRelay.repo.wait` | Seconds to wait before pulling from the upstream remote. | `60` | | `gitSyncRelay.repo.subPath` | Path to the dags directory within the git repository. | `~` | Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`. For example, sh helm install --name my-release --set executor=CeleryExecutor --set enablePodLaunching=false . Walkthrough using kind: Install kind, and create a cluster We recommend testing with Kubernetes 1.25+, example: sh kind create cluster --image kindest/node:v1.25.11 Confirm it's up: sh kubectl cluster-info --context kind-kind Add Astronomer's Helm repo sh helm repo add astronomer https://helm.astronomer.io helm repo update Create namespace + install the chart sh kubectl create namespace airflow helm install airflow -n airflow astronomer/airflow It may take a few minutes. Confirm the pods are up: sh kubectl get pods --all-namespaces helm list -n airflow Run `kubectl port-forward svc/airflow-webserver 8080:8080 -n airflow` to port-forward the Airflow UI to http://localhost:8080/ to confirm Airflow is working. Login as _admin_ and password _admin_. Build a Docker image from your DAGs: 1. Start a project using astro-cli, which will generate a Dockerfile, and load your DAGs in. You can test locally before pushing to kind with `astro airflow start`. `sh mkdir my-airflow-project && cd my-airflow-project astro dev init` 2. Then build the image: `sh docker build -t my-dags:0.0.1 .` 3. Load the image into kind: `sh kind load docker-image my-dags:0.0.1` 4. Upgrade Helm deployment: sh helm upgrade airflow -n airflow --set images.airflow.repository=my-dags --set images.airflow.tag=0.0.1 astronomer/airflow Extra Objects: This chart can deploy extra Kubernetes objects (assuming the role used by Helm can manage them). For Astronomer Cloud and Enterprise, the role permissions can be found in the Commander role. yaml extraObjects: - apiVersion: batch/v1beta1 kind: CronJob metadata: name: "{{ .Release.Name }}-somejob" spec: schedule: "*/10 * * * *" concurrencyPolicy: Forbid jobTemplate: spec: template: spec: containers: - name: myjob image: ubuntu command: - echo args: - hello restartPolicy: OnFailure Contributing: Check out our contributing guide! License: Apache 2.0 with Commons Clause

GaiaNet-node is a tool that allows users to run their own GaiaNet node, enabling them to interact with an AI agent. The tool provides functionalities to install the default node software stack, initialize the node with model files and vector database files, start the node, stop the node, and update configurations. Users can use pre-set configurations or pass a custom URL for initialization. The tool is designed to facilitate communication with the AI agent and access node information via a browser. GaiaNet-node requires sudo privilege for installation but can also be installed without sudo privileges with specific commands.

Bito CLI provides a command line interface to the Bito AI chat functionality, allowing users to interact with the AI through commands. It supports complex automation and workflows, with features like long prompts and slash commands. Users can install Bito CLI on Mac, Linux, and Windows systems using various methods. The tool also offers configuration options for AI model type, access key management, and output language customization. Bito CLI is designed to enhance user experience in querying AI models and automating tasks through the command line interface.

The Bard API is a Python package that returns responses from Google Bard through the value of a cookie. It is an unofficial API that operates through reverse-engineering, utilizing cookie values to interact with Google Bard for users struggling with frequent authentication problems or unable to authenticate via Google Authentication. The Bard API is not a free service, but rather a tool provided to assist developers with testing certain functionalities due to the delayed development and release of Google Bard's API. It has been designed with a lightweight structure that can easily adapt to the emergence of an official API. Therefore, using it for any other purposes is strongly discouraged. If you have access to a reliable official PaLM-2 API or Google Generative AI API, replace the provided response with the corresponding official code. Check out https://github.com/dsdanielpark/Bard-API/issues/262.

The OpenAIApi Plugin provides access to the OpenAI API in Unreal Engine, allowing users to generate images, transcribe speech, and power NPCs using advanced AI models. It offers blueprint nodes for making API calls, setting parameters, and accessing completion values. Users can authenticate using an API key directly or as an environment variable. The plugin supports various tasks such as generating images, transcribing speech, and interacting with NPCs through chat endpoints.

WilliamButcherBot is a Telegram Group Manager Bot and Userbot written in Python using Pyrogram. It provides features for managing Telegram groups and users, with ready-to-use methods available. The bot requires Python 3.9, Telegram API Key, Telegram Bot Token, and MongoDB URI. Users can install it locally or on a VPS, run it directly, generate Pyrogram session for Heroku, or use Docker for deployment. Additionally, users can write new modules to extend the bot's functionality by adding them to the wbb/modules/ directory.

ARTKIT is a Python framework developed by BCG X for automating prompt-based testing and evaluation of Gen AI applications. It allows users to develop automated end-to-end testing and evaluation pipelines for Gen AI systems, supporting multi-turn conversations and various testing scenarios like Q&A accuracy, brand values, equitability, safety, and security. The framework provides a simple API, asynchronous processing, caching, model agnostic support, end-to-end pipelines, multi-turn conversations, robust data flows, and visualizations. ARTKIT is designed for customization by data scientists and engineers to enhance human-in-the-loop testing and evaluation, emphasizing the importance of tailored testing for each Gen AI use case.

ChatGPT CLI provides a powerful command-line interface for seamless interaction with ChatGPT models via OpenAI and Azure. It features streaming capabilities, extensive configuration options, and supports various modes like streaming, query, and interactive mode. Users can manage thread-based context, sliding window history, and provide custom context from any source. The CLI also offers model and thread listing, advanced configuration options, and supports GPT-4, GPT-3.5-turbo, and Perplexity's models. Installation is available via Homebrew or direct download, and users can configure settings through default values, a config.yaml file, or environment variables.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

The Gnosis Safe - CSV Airdrop is a Safe App designed to simplify the process of sending multiple token transfers to various recipients with different values in a single Ethereum transaction. Users can upload a CSV transfer file containing receiver addresses, token addresses, and transfer amounts. The app eliminates the need for multiple transactions and signature thresholds, streamlining the airdrop process. It also supports native token transfers and provides a user-friendly interface for initiating transactions. Developers can customize and deploy the app for specific use cases.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

Sunnypilot is a fork of comma.ai's openpilot, offering a unique driving experience for over 250+ supported car makes and models with modified behaviors of driving assist engagements. It complies with comma.ai's safety rules and provides features like Modified Assistive Driving Safety, Dynamic Lane Profile, Enhanced Speed Control, Gap Adjust Cruise, and more. Users can install it on supported devices and cars following detailed instructions, ensuring a safe and enhanced driving experience.

Aiocache is an asyncio cache library that supports multiple backends such as memory, redis, and memcached. It provides a simple interface for functions like add, get, set, multi_get, multi_set, exists, increment, delete, clear, and raw. Users can easily install and use the library for caching data in Python applications. Aiocache allows for easy instantiation of caches and setup of cache aliases for reusing configurations. It also provides support for backends, serializers, and plugins to customize cache operations. The library offers detailed documentation and examples for different use cases and configurations.

Semantic Cache is a tool for caching natural text based on semantic similarity. It allows for classifying text into categories, caching AI responses, and reducing API latency by responding to similar queries with cached values. The tool stores cache entries by meaning, handles synonyms, supports multiple languages, understands complex queries, and offers easy integration with Node.js applications. Users can set a custom proximity threshold for filtering results. The tool is ideal for tasks involving querying or retrieving information based on meaning, such as natural language classification or caching AI responses.

Chrome AI is a Vercel AI provider for Chrome's built-in model (Gemini Nano). It allows users to create language models using Chrome's AI capabilities. The tool is under development and may contain errors and frequent changes. Users can install the ChromeAI provider module and use it to generate text, stream text, and generate objects. To enable AI in Chrome, users need to have Chrome version 127 or greater and turn on specific flags. The tool is designed for developers and researchers interested in experimenting with Chrome's built-in AI features.

This repository contains the code and dataset for LDB, a novel debugging framework that enables Large Language Models (LLMs) to refine their generated programs by tracking the values of intermediate variables throughout the runtime execution. LDB segments programs into basic blocks, allowing LLMs to concentrate on simpler code units, verify correctness block by block, and pinpoint errors efficiently. The tool provides APIs for debugging and generating code with debugging messages, mimicking how human developers debug programs.

FLUTE (Flexible Lookup Table Engine for LUT-quantized LLMs) is a tool designed for uniform quantization and lookup table quantization of weights in lower-precision intervals. It offers flexibility in mapping intervals to arbitrary values through a lookup table. FLUTE supports various quantization formats such as int4, int3, int2, fp4, fp3, fp2, nf4, nf3, nf2, and even custom tables. The tool also introduces new quantization algorithms like Learned Normal Float (NFL) for improved performance and calibration data learning. FLUTE provides benchmarks, model zoo, and integration with frameworks like vLLM and HuggingFace for easy deployment and usage.

AutoScraper is a smart, automatic, fast, and lightweight web scraping tool for Python. It simplifies the process of web scraping by learning scraping rules based on sample data provided by the user. The tool can extract text, URLs, or HTML tag values from web pages and return similar elements. Users can utilize the learned object to scrape similar content or exact elements from new pages. AutoScraper is compatible with Python 3 and offers easy installation from various sources. It provides functionalities for fetching similar and exact results from web pages, such as extracting post titles from Stack Overflow or live stock prices from Yahoo Finance. The tool allows customization with custom requests module parameters like proxies or headers. Users can save and load models for future use and explore advanced usages through tutorials and examples.

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FlutterCraft is an AI-powered assistant that streamlines Flutter app development. It interprets user-provided descriptions to generate and compile Flutter app code, providing ready-to-install APK and iOS files. Ideal for rapid prototyping, FlutterCraft makes app development accessible and efficient.

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