Best AI tools for< Improve Open Source Project >
20 - AI tool Sites
Scribble Diffusion
Scribble Diffusion is an open-source project from Replicate that allows users to turn their sketches into refined images using AI. Users can draw something on the website and the AI will generate a more refined version of the image.
AIExh
AIExh is a platform dedicated to discovering and following the hottest open-source AI projects. It serves as the #1 database for open-source AI, providing daily updates and recommendations. With a user base of over 1000 humans and 1000+ subscribers, AIExh covers a wide range of AI applications such as image identification, speech recognition, machine translation, and more. Users can explore various AI projects, submit their own projects, and stay updated on the latest advancements in artificial intelligence.
PygmalionAI
PygmalionAI is an open-source AI project focused on creating large language models for chat and role-play purposes. It offers a platform for users to engage in interactive conversations, storytelling, and adventure scenarios. The project aims to enhance user experiences by providing advanced AI capabilities for natural language processing and communication.
Patched
Patched is an open-source workflow automation framework designed for development teams to build AI workflows that automate code reviews, documentation, and patches. It offers ready-to-go patchflows or the ability to create custom ones to accelerate mundane development tasks. Patched integrates seamlessly with popular platforms like Gitlab, GitHub, Jira, and more, allowing users to improve code quality, fix bugs, and create tickets efficiently. The application is privacy-focused, allowing users to deploy it within their own infrastructure for complete privacy. Patched is free and open-source, offering customization options via code or a no-code builder.
ClearML
ClearML is an open-source, end-to-end platform for continuous machine learning (ML). It provides a unified platform for data management, experiment tracking, model training, deployment, and monitoring. ClearML is designed to make it easy for teams to collaborate on ML projects and to ensure that models are deployed and maintained in a reliable and scalable way.
Lunary
Lunary is an AI developer platform designed to bring AI applications to production. It offers a comprehensive set of tools to manage, improve, and protect LLM apps. With features like Logs, Metrics, Prompts, Evaluations, and Threads, Lunary empowers users to monitor and optimize their AI agents effectively. The platform supports tasks such as tracing errors, labeling data for fine-tuning, optimizing costs, running benchmarks, and testing open-source models. Lunary also facilitates collaboration with non-technical teammates through features like A/B testing, versioning, and clean source-code management.
Comfy Org
Comfy Org is an open-source AI tooling platform dedicated to advancing and democratizing AI technology. The platform offers tools like node manager, node registry, CLI, automated testing, and public documentation to support the ComfyUI ecosystem. Comfy Org aims to make state-of-the-art AI models accessible to a wider audience by fostering an open-source and community-driven approach. The team behind Comfy Org consists of individuals passionate about developing and maintaining various components of the platform, ensuring a reliable and secure environment for users to explore and contribute to AI tooling.
ARC Prize
ARC Prize is a platform hosting a $1,000,000+ public competition aimed at beating and open-sourcing a solution to the ARC-AGI benchmark. The platform is dedicated to advancing open artificial general intelligence (AGI) for the public benefit. It provides a formal benchmark, ARC-AGI, created by François Chollet, to measure progress towards AGI by testing the ability to efficiently acquire new skills and solve open-ended problems. ARC Prize encourages participants to try solving test puzzles to identify patterns and improve their AGI skills.
Upscayl
Upscayl is a free AI-powered image upscaler that allows you to enlarge and enhance your images without losing quality. With Upscayl, you can increase the resolution of your images by up to 4x, making them perfect for printing, social media, or any other purpose. Upscayl is easy to use and requires no special skills or knowledge. Simply upload your image to the Upscayl website, select the desired enlargement factor, and click the "Upscale" button. Upscayl will then process your image and provide you with a high-quality, enlarged image.
Resume Matcher
Resume Matcher is a free, open-source Applicant Tracking System (ATS) tool that uses Machine Learning and Natural Language Processing to match resumes with job descriptions. It empowers users to tailor their resumes for each job application by providing insights on similarities and differences between the resume and job requirements. The platform offers data visualizations, text similarity analysis, and plans to incorporate advanced features like Vector Similarity. With a user-friendly interface and Python-based technology, Resume Matcher aims to simplify the job search process for developers.
Prompta
Prompta is an open-source ChatGPT client that provides a user-friendly interface for interacting with ChatGPT and GPT-4. Users can search all their chats, even offline, with a keyboard-focused and snappy interface. The application allows users to bring their own API key, sync across devices, and store all chats locally for easy access. Prompta is designed to enhance the chat experience and streamline communication tasks.
UniJump
UniJump is a seamless browser extension that enhances your daily usage of ChatGPT from any website you are browsing without the need of leaving that website. It improves your writing, helps you get answers to your questions, and inspires you to experiment with different communication styles. The extension is free to use and open source, ensuring transparency and security for users.
Voxel51
Voxel51 is an AI tool that provides open-source computer vision tools for machine learning. It offers solutions for various industries such as agriculture, aviation, driving, healthcare, manufacturing, retail, robotics, and security. Voxel51's main product, FiftyOne, helps users explore, visualize, and curate visual data to improve model performance and accelerate the development of visual AI applications. The platform is trusted by thousands of users and companies, offering both open-source and enterprise-ready solutions to manage and refine data and models for visual AI.
Free AI Video Upscaler
Free AI Video Upscaler is a free, open-source tool that allows users to upscale videos with AI right in their browser. It is quick, easy to use, and does not require any signups or installation. The tool is particularly well-suited for upscaling animated content.
GPTionary
GPTionary is an AI-powered thesaurus tool that allows users to search for words or phrases quickly by describing them. It leverages the power of AI, specifically ChatGPT, to provide accurate and efficient results. Users from over 100 countries have accessed GPTionary in just 10 days, highlighting its global reach and popularity. The tool is designed to assist community leaders, such as school teachers and officials, in accessing its features for educational purposes. GPTionary ensures data security and user verification to prevent misuse and maintain a trusted user community.
Storia AI
Storia AI is an AI tool designed to assist software engineering teams in understanding and generating code. It provides a Perplexity-like chat experience where users can interact with an AI expert that has access to the latest versions of open-source software. The tool aims to improve code understanding and generation by providing responses backed with links to implementations, API references, GitHub issues, and more. Storia AI is developed by a team of natural language processing researchers from Google and Amazon Alexa, with a mission to build the most reliable AI pair programmer for engineering teams.
ModelsLab
ModelsLab is an AI-powered chatbot that allows users to have uncensored conversations with a virtual assistant. The chatbot is designed to be informative and helpful, and it can be used for a variety of purposes, such as getting answers to questions, getting help with tasks, or simply having a conversation. ModelsLab is still under development, but it has the potential to be a valuable tool for people who want to learn more about AI or who want to use AI to improve their lives.
Langtrace AI
Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.
AI Web Page Analyzer
AI Web Page Analyzer is a free and open-source tool that helps you analyze web pages for SEO. It can check content, keywords, structure, and metatags, and provide recommendations for improving your website's SEO. AI Web Page Analyzer also includes a number of other features, such as SEO optimization, keyword extraction, and content generation.
Copilot for CodeMirror
Copilot for CodeMirror is an open-source extension for CodeMirror that enhances coding experience by providing autocompletion using OpenAI's GPT models. It aims to assist developers in writing code more efficiently and accurately by suggesting code snippets based on context. The tool integrates with CodeMirror seamlessly, offering a user-friendly interface for developers to leverage AI-powered assistance in their coding workflow.
20 - Open Source AI Tools
genai-os
Kuwa GenAI OS is an open, free, secure, and privacy-focused Generative-AI Operating System. It provides a multi-lingual turnkey solution for GenAI development and deployment on Linux and Windows. Users can enjoy features such as concurrent multi-chat, quoting, full prompt-list import/export/share, and flexible orchestration of prompts, RAGs, bots, models, and hardware/GPUs. The system supports various environments from virtual hosts to cloud, and it is open source, allowing developers to contribute and customize according to their needs.
Open-DocLLM
Open-DocLLM is an open-source project that addresses data extraction and processing challenges using OCR and LLM technologies. It consists of two main layers: OCR for reading document content and LLM for extracting specific content in a structured manner. The project offers a larger context window size compared to JP Morgan's DocLLM and integrates tools like Tesseract OCR and Mistral for efficient data analysis. Users can run the models on-premises using LLM studio or Ollama, and the project includes a FastAPI app for testing purposes.
MINI_LLM
This project is a personal implementation and reproduction of a small-parameter Chinese LLM. It mainly refers to these two open source projects: https://github.com/charent/Phi2-mini-Chinese and https://github.com/DLLXW/baby-llama2-chinese. It includes the complete process of pre-training, SFT instruction fine-tuning, DPO, and PPO (to be done). I hope to share it with everyone and hope that everyone can work together to improve it!
python-weekly
Python Trending Weekly is a curated newsletter by Python猫 that selects the most valuable articles, tutorials, open-source projects, software tools, podcasts, videos, and hot topics from over 250 English and Chinese sources. The newsletter aims to help readers improve their Python skills and increase their income from both professional and side projects. It offers paid subscription options and is available on various platforms like GitHub, WeChat, blogs, email, Telegram, and Twitter. Each issue shares a collection of articles, open-source projects, videos, and books related to Python and technology.
sourcery
Sourcery is an automated code reviewer tool that provides instant feedback on pull requests, helping to speed up the code review process, improve code quality, and accelerate development velocity. It offers high-level feedback, line-by-line suggestions, and aims to mimic the type of code review one would expect from a colleague. Sourcery can also be used as an IDE coding assistant to understand existing code, add unit tests, optimize code, and improve code quality with instant suggestions. It is free for public repos/open source projects and offers a 14-day trial for private repos.
ModelCache
Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project facilitates sharing and exchanging technologies related to large model semantic cache through open-source collaboration.
SuperPrompt
SuperPrompt is an open-source project designed to help users understand AI agents. The project includes a prompt with theoretical, mathematical, and binary instructions for users to follow. It aims to serve as a universal catalyst for infinite conceptual evolution, focusing on metamorphic abstract reasoning and self-transcending objectives. The prompt encourages users to explore fundamental truths, create order from cognitive chaos, and prepare for paradigm shifts in understanding. It provides guidelines for analyzing multidimensional states, synthesizing emergent patterns, and integrating new paradigms.
Raspberry
Raspberry is an open source project aimed at creating a toy dataset for finetuning Large Language Models (LLMs) with reasoning abilities. The project involves synthesizing complex user queries across various domains, generating CoT and Self-Critique data, cleaning and rectifying samples, finetuning an LLM with the dataset, and seeking funding for scalability. The ultimate goal is to develop a dataset that challenges models with tasks requiring math, coding, logic, reasoning, and planning skills, spanning different sectors like medicine, science, and software development.
h2ogpt
h2oGPT is an Apache V2 open-source project that allows users to query and summarize documents or chat with local private GPT LLMs. It features a private offline database of any documents (PDFs, Excel, Word, Images, Video Frames, Youtube, Audio, Code, Text, MarkDown, etc.), a persistent database (Chroma, Weaviate, or in-memory FAISS) using accurate embeddings (instructor-large, all-MiniLM-L6-v2, etc.), and efficient use of context using instruct-tuned LLMs (no need for LangChain's few-shot approach). h2oGPT also offers parallel summarization and extraction, reaching an output of 80 tokens per second with the 13B LLaMa2 model, HYDE (Hypothetical Document Embeddings) for enhanced retrieval based upon LLM responses, a variety of models supported (LLaMa2, Mistral, Falcon, Vicuna, WizardLM. With AutoGPTQ, 4-bit/8-bit, LORA, etc.), GPU support from HF and LLaMa.cpp GGML models, and CPU support using HF, LLaMa.cpp, and GPT4ALL models. Additionally, h2oGPT provides Attention Sinks for arbitrarily long generation (LLaMa-2, Mistral, MPT, Pythia, Falcon, etc.), a UI or CLI with streaming of all models, the ability to upload and view documents through the UI (control multiple collaborative or personal collections), Vision Models LLaVa, Claude-3, Gemini-Pro-Vision, GPT-4-Vision, Image Generation Stable Diffusion (sdxl-turbo, sdxl) and PlaygroundAI (playv2), Voice STT using Whisper with streaming audio conversion, Voice TTS using MIT-Licensed Microsoft Speech T5 with multiple voices and Streaming audio conversion, Voice TTS using MPL2-Licensed TTS including Voice Cloning and Streaming audio conversion, AI Assistant Voice Control Mode for hands-free control of h2oGPT chat, Bake-off UI mode against many models at the same time, Easy Download of model artifacts and control over models like LLaMa.cpp through the UI, Authentication in the UI by user/password via Native or Google OAuth, State Preservation in the UI by user/password, Linux, Docker, macOS, and Windows support, Easy Windows Installer for Windows 10 64-bit (CPU/CUDA), Easy macOS Installer for macOS (CPU/M1/M2), Inference Servers support (oLLaMa, HF TGI server, vLLM, Gradio, ExLLaMa, Replicate, OpenAI, Azure OpenAI, Anthropic), OpenAI-compliant, Server Proxy API (h2oGPT acts as drop-in-replacement to OpenAI server), Python client API (to talk to Gradio server), JSON Mode with any model via code block extraction. Also supports MistralAI JSON mode, Claude-3 via function calling with strict Schema, OpenAI via JSON mode, and vLLM via guided_json with strict Schema, Web-Search integration with Chat and Document Q/A, Agents for Search, Document Q/A, Python Code, CSV frames (Experimental, best with OpenAI currently), Evaluate performance using reward models, and Quality maintained with over 1000 unit and integration tests taking over 4 GPU-hours.
kantv
KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.
keras-llm-robot
The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.
open-ai
Open AI is a powerful tool for artificial intelligence research and development. It provides a wide range of machine learning models and algorithms, making it easier for developers to create innovative AI applications. With Open AI, users can explore cutting-edge technologies such as natural language processing, computer vision, and reinforcement learning. The platform offers a user-friendly interface and comprehensive documentation to support users in building and deploying AI solutions. Whether you are a beginner or an experienced AI practitioner, Open AI offers the tools and resources you need to accelerate your AI projects and stay ahead in the rapidly evolving field of artificial intelligence.
ClaudeSync
ClaudeSync is a powerful tool designed to seamlessly synchronize local files with Claude.ai projects. It bridges the gap between local development environment and Claude.ai's knowledge base, offering real-time synchronization, CLI for easy management, support for multiple organizations and projects, intelligent file filtering, configurable sync interval, two-way synchronization, and more. It ensures data privacy, open source transparency, and comes with disclaimers for use at own risk. Users can quickly start syncing by installing, logging in, selecting organization and project, and running sync. Advanced features include API, organization, project, file, chat management, configuration, synchronization modes, scheduled sync, providers, custom ignore file, and troubleshooting. Contributions are welcome, and communication channels include GitHub Issues and Discord. Licensed under MIT License.
moai
moai is a PyTorch-based AI Model Development Kit (MDK) designed to improve data-driven model workflows, design, and understanding. It offers modularity via monads for model building blocks, reproducibility via configuration-based design, productivity via a data-driven domain modelling language (DML), extensibility via plugins, and understanding via inter-model performance and design aggregation. The tool provides specific integrated actions like play, train, evaluate, plot, diff, and reprod to support heavy data-driven workflows with analytics, knowledge extraction, and reproduction. moai relies on PyTorch, Lightning, Hydra, TorchServe, ONNX, Visdom, HiPlot, Kornia, Albumentations, and the wider open-source community for its functionalities.
vectordb-recipes
This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.
awesome-ai
Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.
openrecall
OpenRecall is a fully open-source, privacy-first tool that captures your digital history through snapshots, making it searchable for quick access to specific information. It offers transparency, cross-platform support, privacy focus, and hardware compatibility. Features include time travel, local-first AI, semantic search, and full control over storage. The roadmap includes visual search capabilities and audio transcription. Users can easily install and run OpenRecall to enhance memory and productivity without compromising privacy.
qlib
Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.
kaapana
Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.
20 - OpenAI Gpts
💻Professional Coder (Auto programming)
A gpt expert at solving programming problems. We have open-sourced the prompt here: https://github.com/ai-boost/awesome-gpts-prompts (This GPT isn't perfect, let's improve it together! 😊🛠️)
Newsletter Copywriting Genius
Guides users through crafting the top 5 most crucial emails to hook your readers
SpintaxGPT
I add spintax to emails for Instantly.ai. For more cold email tips, follow me on Twitter/𝕏 at @kenautoup
CaseCracker™: Consultant Case Interview Practice
Crack open the door to your future. (Partner tip: use the iPhone app for voice chat)
Personal Financial Advisor
This Open AI tool analyzes your financial data, budgets and cashflow and suggests areas of improvement and quick insights. Drop an XLS file here or copy/paste your financial data and get insights! (Your data remains private and creator of this ChatGPT has no access to it).
CV Wizard
Your personal career architect, crafting resumes that open doors to your dream job.
[청년창업사관학교 사업계획서] 사업계획서 도우미 - ②
본 GPTs는 인증된 사용자만 사용 가능합니다. 문의) https://open.kakao.com/o/sJHIBJTf 이현상
Grade an Op-ed type essay
Grades op-eds on reasoning, fair engagement, and open-mindedness.
Therapy Room
Room with several experts. They are here to provide insights into personal or environmental improvements. This is not a substitute for professional advice. Engage with an open mind
Email Subject Line Generator
Generate 25 attention-grabbing subject lines for your next email. Attracting user curiosity is the bait that wins the click.
UX & UI
Gives you tips and suggestions on how you can improve your application for your users.
Memory Enhancer
Offers exercises and techniques to improve memory retention and cognitive functions.
English Conversation Role Play Creator
Generates conversation examples and chunks for specified situations. Improve your instantaneous conversational skills through repetitive practice!