mcp-github

# 🤖 AI/ML Resources Curated collection of AI/ML resources and tools to jumpstart your artificial intelligence and machine learning journey. Explore tutorials, datasets, libraries, and more! PRs with additional resources or suggestions are much welcome! ## Resources 📕 ### Learning Resources 📚 - [Neural Networks: Zero to Hero](https://karpathy.ai/zero-to-hero.html) - From Andrej Karpathy, former Director of AI at Tesla and now at OpenAI. - [Full Stack LLM Bootcamp](https://fullstackdeeplearning.com/llm-bootcamp/) - From the creators of the [Full Stack Deep Learning](https://fullstackdeeplearning.com/) course and book. - [All about LLMs](https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341c8d) - A gist with great curated learning resources. - [Transformers](https://www.youtube.com/watch?v=XfpMkf4rD6E) - Introduction to Transformers with Andrej Karpathy. - [The Illustrated Transformer](https://jalammar.github.io/illustrated-transformer/) - A great visual explanation of the Transformer architecture. - [How ChatGPT really works](https://bootcamp.uxdesign.cc/how-chatgpt-really-works-explained-for-non-technical-people-71efb078a5c9) - A great initial explanation of how ChatGPT works. - [ChatGPT Prompt Engineering for Developers!](https://www.deeplearning.ai/short-courses/chatgpt-prompt-eng/) - Great course by OpenAI employees. - [Learn Prompting](https://learnprompting.org/) - Another great course (text-based) about prompting. - [Prompt Engineering Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) - Guides, papers, lectures, and resources for prompt engineering. - [Prompt Engineering](https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/) - Great post from Lilian Weng, Head of Applied AI Research at OpenAI. - [MLOps Guide](https://github.com/Nyandwi/machine_learning_complete/blob/main/010_mlops/1_mlops_guide.md) - A guide on MLOps. - [MLOps Zoomcamp](https://github.com/DataTalksClub/mlops-zoomcamp) - A great course on MLOps. - [Gandalf](https://gandalf.lakera.ai/) - A fun way to learn about prompt injection. - [Practical Deep Learning](https://course.fast.ai/) - A course designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. - [Let's build GPT](https://www.youtube.com/watch?v=kCc8FmEb1nY) - From Andrej Karpathy, Let's build GPT: from scratch, in code, spelled out. - [AI Canon](https://a16z.com/2023/05/25/ai-canon/) - A great curated list of resources to get smarter about modern AI. - [Generative AI Learning Path](https://www.cloudskillsboost.google/paths/118) - This learning path guides you through curated content on Generative AI products and technologies. - [Rules of Machine Learning](https://developers.google.com/machine-learning/guides/rules-of-ml) - Intended to help those with a basic knowledge of machine learning get the benefit of Google's best practices. - [AI Companion App](https://github.com/a16z-infra/companion-app) - A tutorial stack to create and host AI companions that you can chat with on a browser or text via SMS. - [Microsoft AI Lab](https://github.com/microsoft/ailab) - AI Lab helps a large, fast-growing community of developers get started on AI. - [ML Course Notes](https://github.com/dair-ai/ML-Course-Notes) - A place to collaborate and share lecture notes on all topics related to machine learning, NLP, and AI. - [Generative AI for Beginners](https://github.com/microsoft/generative-ai-for-beginners) - A 12-lesson course teaching everything you need to know to start building Generative AI applications. - [ML YouTube Courses](https://github.com/dair-ai/ML-YouTube-Courses) - An index of some of the best and most recent machine learning courses available on YouTube. - [ML Papers Explained](https://github.com/dair-ai/ML-Papers-Explained) - Explanations of key concepts in machine learning. - [LLM Course](https://github.com/mlabonne/llm-course) - A course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - [Open LLMs](https://github.com/eugeneyan/open-llms) - A list of open LLMs available for commercial use with their context lengths and licenses. - [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts) - A collection of prompt examples to be used with ChatGPT and other LLMs. - [Hugging Face Course](https://github.com/huggingface/course) - Learn how to apply Transformers to various tasks in natural language processing and beyond. - [Andrew Ng’s Machine Learning](https://www.coursera.org/learn/machine-learning) - A foundational course on machine learning. - [Machine Learning Roadmap](https://github.com/mrdbourke/machine-learning-roadmap) - A roadmap connecting important concepts in machine learning. - [Robert Miles AI Safety](https://www.youtube.com/@RobertMilesAI) - YouTube channel about AI safety. ### LLMs - [OpenAI LLMs](https://openai.com/product/gpt-4) - OpenAI models. - [Hugging Face](https://huggingface.co/) - The leading open-source AI community. Find trending models, datasets, and spaces. - [Bloom](https://huggingface.co/bigscience/bloom) - An open-source multilingual model similar to GPT-3. - [LLaMA](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) - A foundational large language model by Meta. - [Llama 2](https://ai.meta.com/llama/) - The next generation of Meta's open-source large language model. - [JARVIS](https://github.com/microsoft/JARVIS) - An interface for LLMs to connect numerous AI models. - [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) - Evaluate and rank open-source LLMs. ### Modern LLM Models #### Commercial Models - [Claude](https://www.anthropic.com/claude) - Anthropic's family of frontier AI systems, known for long context windows and reasoning capabilities. - [Gemini](https://deepmind.google/technologies/gemini/) - Google DeepMind's multimodal AI system available in Ultra, Pro, and Nano sizes. - [GPT-4](https://openai.com/gpt-4) - OpenAI's most advanced system, with variants including GPT-4o (omni) and GPT-4 Turbo. #### Open Source Models - [Llama 3](https://ai.meta.com/llama/) - Meta's latest open foundation language model family, available in 8B and 70B parameters. - [Mistral](https://mistral.ai/) - A family of open-source large language models, including Mistral 7B and Mixtral 8x7B. - [Qwen](https://github.com/QwenLM/Qwen) - Alibaba's advanced LLM series with strong multilingual capabilities, available in various sizes. - [DeepSeek](https://github.com/deepseek-ai/DeepSeek-LLM) - A powerful open-source language model trained on 2T tokens with strong coding capabilities. - [Vicuna-13B](https://lmsys.org/blog/2023-03-30-vicuna/) - An open-source chatbot fine-tuned from LLaMA. - [Yi](https://github.com/01-ai/Yi) - A series of large language models trained from scratch by 01.AI, available in 6B to 34B parameters. - [Phi-3](https://www.microsoft.com/en-us/research/blog/phi-3-technical-report/) - Microsoft's small yet powerful models (3.8B and 14B) with strong reasoning capabilities. - [Falcon](https://falconllm.tii.ae/) - Technology Innovation Institute's open-source LLM trained on 1 trillion tokens. - [Orca 2](https://www.microsoft.com/en-us/research/blog/orca-2-teaching-small-language-models-how-to-reason/) - Microsoft's smaller models that demonstrate strong reasoning capabilities. - [Guidance](https://github.com/microsoft/guidance) - Control modern language models more effectively and efficiently. - [TheBloke on Hugging Face](https://huggingface.co/TheBloke) - Compiles the best open-source models in various formats. - [DemoGPT](https://github.com/melih-unsal/DemoGPT) - Create 🦜️🔗 LangChain apps by just using prompts. - [Llama2 Web UI](https://github.com/liltom-eth/llama2-webui) - Run Llama 2 with Gradio web UI on GPU or CPU from anywhere. - [llama.cpp](https://github.com/ggerganov/llama.cpp) - Run LLaMA model using 4-bit integer quantization on a MacBook and more. - [LocalAI](https://github.com/mudler/LocalAI) - Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. - [LocalAGI](https://github.com/mudler/LocalAGI) - A small virtual assistant you can run locally, powered by LocalAI. - [Ollama](https://github.com/jmorganca/ollama) - A backend that allows you to run large language models locally. - [KoboldCpp](https://github.com/LostRuins/koboldcpp) - An easy-to-use AI text-generation software for GGML and GGUF models. - [GPT4All](https://github.com/nomic-ai/gpt4all) - Open-source large language models that run locally on your CPU and nearly any GPU. - [vLLM](https://github.com/vllm-project/vllm) - A high-throughput and memory-efficient inference and serving engine for LLMs. - [ExLlama](https://github.com/turboderp/exllamav2) - A fast inference library for running LLMs locally on modern consumer-class GPUs. - [Stable Beluga 2](https://huggingface.co/stabilityai/StableBeluga2) - A fine-tuned Llama2 70B model. - [Claude](https://www.anthropic.com/) - An AI assistant from Anthropic with advanced reasoning and extended context. ### Chat and Agents - [ChatGPT](https://chat.openai.com/) - The leading chatbot built on GPT-3.5 and GPT-4. - [Bing Chat](https://www.bing.com/chat) - A conversational AI language model powered by Microsoft Bing. - [Open-Assistant](https://github.com/LAION-AI/Open-Assistant) - Open-source chat agent that interacts with external sources. - [Auto-GPT](https://github.com/Significant-Gravitas/Auto-GPT) - An experimental open-source attempt to make GPT-4 fully autonomous. - [LoopGPT](https://github.com/farizrahman4u/loopgpt) - A modular reimplementation of Auto-GPT. - [ThinkGPT](https://github.com/jina-ai/thinkgpt) - Implementing Chain-of-Thought reasoning for Large Language Models. - [Transformers Agents](https://huggingface.co/docs/transformers/transformers_agents) - Provides a natural language API on top of transformers. - [MetaGPT](https://github.com/geekan/MetaGPT) - The Multi-Agent Framework: Given one-line requirement, return PRD, design, tasks, repo. - [GPT-Engineer](https://github.com/AntonOsika/gpt-engineer) - Specify what you want it to build; the AI asks for clarification and then builds it. - [Khoj](https://github.com/khoj-ai/khoj) - An AI personal assistant for your digital brain. - [Danswer](https://github.com/danswer-ai/danswer) - Open-source enterprise question-answering. - [simpleaichat](https://github.com/minimaxir/simpleaichat) - Python package for easily interfacing with chat apps. - [RealChar](https://github.com/Shaunwei/RealChar) - Create and chat with AI characters. - [ChatGPT AutoExpert](https://github.com/spdustin/ChatGPT-AutoExpert) - Supercharged Custom Instructions for ChatGPT. - [Bee Agent Framework](https://github.com/i-am-bee/bee-agent-framework) - Framework for building scalable agentic applications. - [Local AI](https://github.com/louisgv/local.ai) - A desktop app for local, private, secured AI experimentation. - [Serge](https://github.com/serge-chat/serge) - A chat interface crafted with llama.cpp for running GGUF models. - [SillyTavern](https://github.com/SillyTavern/SillyTavern) - A chat UI for interacting with text generation AIs and roleplay characters. - [TavernAI](https://github.com/TavernAI/TavernAI) - An atmospheric frontend for chat and story writing. - [Maid](https://github.com/danemadsen/Maid) - A cross-platform Flutter app for interfacing with GGUF/llama.cpp models locally. - [AgentGPT](https://github.com/reworkd/AgentGPT) - Configure and deploy autonomous AI agents. - [SuperAGI](https://github.com/TransformerOptimus/SuperAGI) - A dev-first open-source autonomous AI agent framework. - [BabyAGI](https://github.com/yoheinakajima/babyagi) - AI-powered task management system using OpenAI. - [Open Interpreter](https://github.com/KillianLucas/open-interpreter/) - Open-source, locally running implementation of OpenAI's Code Interpreter. - [AutoPR](https://github.com/irgolic/AutoPR) - Automated pull request workflow powered by AI. - [Phind](https://www.phind.com/) - An AI search engine and assistant for programmers. - [Character.AI](https://beta.character.ai/) - Create and chat with AI-powered characters. - [Agent2Agent](https://google.github.io/A2A) - Google DeepMind's framework for multi-agent collaboration with LLMs. ### AI-Powered IDEs - [Cursor](https://cursor.sh/) - AI-first code editor based on VSCode with powerful chat, edit, and generation capabilities. - [Windsurf](https://codeium.com/windsurf) - AI agent-powered IDE that integrates with existing workflows, by Codeium. - [Trae](https://www.trae.ai/) - Adaptive AI IDE that transforms how you work, collaborating with you to run faster. - [Zed](https://zed.dev/) - High-performance, multiplayer code editor with AI features. ### Development - [LangChain](https://github.com/hwchase17/langchain) - Framework for developing applications powered by LLMs. - [Pinecone](https://www.pinecone.io/) - Long-term memory for models with a vector database. - [Chroma](https://www.trychroma.com/) - The open-source alternative to Pinecone. - [Plug-in-Play](https://github.com/edreisMD/plugnplai) - Simplify the integration of plugins into open-source LLMs. - [GPTCache](https://github.com/zilliztech/GPTCache) - Caching for LLM responses. Useful for cost savings. - [OpenAI Cookbook](https://github.com/openai/openai-cookbook) - A collection of examples and best practices for building with OpenAI. - [GPTCache](https://github.com/zilliztech/GPTCache) - Semantic cache to store responses from LLM queries for cost savings. - [Vercel AI SDK](https://github.com/vercel-labs/ai) - An open source library for building AI-powered user interfaces with React, Svelte, and Vue. - [How to build an agent with LangChain](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_build_a_tool-using_agent_with_langchain.ipynb) - Great Jupyter notebook from OpenAI. - [Mojo](https://docs.modular.com/mojo/) - A new programming language combining Python syntax with systems programming. - [Semantic Kernel](https://github.com/microsoft/semantic-kernel) - SDK that enables integration of AI LLMs with conventional programming languages. - [Langcorn](https://github.com/msoedov/langcorn) - API server for serving LangChain models with FastAPI. - [smol developer](https://github.com/smol-ai/developer) - Your own personal junior developer :) - [smol plugin](https://github.com/gmchad/smol-plugin) - Automatically generate OpenAI plugins by specifying your API in markdown. - [Kor](https://eyurtsev.github.io/kor/tutorial.html) - A thin wrapper on top of LLMs to extract structured data. - [tiktoken](https://github.com/openai/tiktoken) - A fast BPE tokenizer used with OpenAI's models. - [OpenAI Function Calling](https://platform.openai.com/docs/guides/gpt/function-calling) - Standardize LLM output. - [Vercel AI SDK](https://github.com/vercel-labs/ai) - Build AI-powered applications with React, Svelte, and Vue. - [Code Interpreter API](https://github.com/shroominic/codeinterpreter-api) - Open-source implementation of ChatGPT Code Interpreter. - [Unsloth](https://github.com/unslothai/unsloth) - Framework for fine-tuning Large Language Models. - [Pezzo](https://github.com/pezzolabs/pezzo) - Developer-first LLMOps platform to streamline prompt design and version management. - [Lunary](https://github.com/lunary-ai/lunary) - Production toolkit for LLMs focusing on observability and evaluations. - [Ludwig](https://github.com/ludwig-ai/ludwig) - Low-code framework for building custom AI models. - [Langroid](https://github.com/langroid/langroid) - Lightweight Python framework to build LLM-powered applications. - [LLMware](https://github.com/llmware-ai/llmware) - Unified framework for developing LLM-based application patterns. - [LLM App](https://github.com/pathwaycom/llm-app) - Production framework for building and serving AI applications. - [LlamaIndex](https://github.com/jerryjliu/llama_index) - A data framework for building LLM applications over external data. - [LMQL](https://lmql.ai/) - A query language for large language models. - [Haystack](https://haystack.deepset.ai/) - Framework for building NLP applications with language models. - [Prediction Guard](https://www.predictionguard.com/) - Integrate private, controlled, and compliant LLM functionality. - [Portkey](https://portkey.ai/) - LLMOps platform to monitor, manage, and improve LLM-based apps. - [OpenRouter](https://openrouter.ai/) - A unified API to access 100+ LLMs from different providers through a single interface. - [Cline](https://github.com/cline/cline) - Autonomous coding agent right in your IDE, capable of creating/editing files and executing commands. ### Tools - [Vault AI](https://github.com/pashpashpash/vault-ai) - Tool for uploading documents and asking questions about their content. - [LangFlow](https://github.com/logspace-ai/langflow) - Visual prototyping and experimentation with LangChain. - [Flowise](https://github.com/FlowiseAI/Flowise) - Visual tool to build your customized LLM flow. - [PentestGPT](https://github.com/GreyDGL/PentestGPT) - A GPT-empowered penetration testing tool 🕵️. - [TypingMind](https://www.typingmind.com/) - A better UI for ChatGPT. - [privateGPT](https://github.com/imartinez/privateGPT) - Ask questions to your documents without an internet connection. - [Quivr](https://github.com/StanGirard/quivr) - Dump all your files and thoughts into your Generative AI second brain and chat with it. - [Stable Diffusion Web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) - A browser interface based on Gradio for Stable Diffusion. - [h2oGPT](https://github.com/h2oai/h2ogpt) - Like privateGPT, but with GPU inference supported. - [localGPT](https://github.com/PromtEngineer/localGPT) - Inspired by privateGPT, using Vicuna-7b and InstructorEmbeddings. - [Promptflow](https://github.com/InsuranceToolkits/promptflow) - Create executable flowcharts linking LLMs, prompts, and functions. - [Dify](https://github.com/langgenius/dify) - An open-source LLM app development platform. - [txtai](https://github.com/neuml/txtai) - Semantic search and workflows powered by language models. - [Unofficial OpenAI Status](https://openai-status.llm-utils.org/) - An in-depth OpenAI status page. - [gpt-prompt-engineer](https://github.com/mshumer/gpt-prompt-engineer) - Generates, tests, and ranks prompts for your task. - [rag-stack](https://github.com/psychic-api/rag-stack) - Deploy a private ChatGPT alternative hosted within your VPC. - [AnythingLLM](https://github.com/Mintplex-Labs/anything-llm) - Open-source ChatGPT equivalent for open and closed-source LLMs. - [DocsGPT](https://github.com/arc53/docsgpt) - Streamlines finding information in project documentation. - [Dialoqbase](https://github.com/n4ze3m/dialoqbase) - Facilitate the creation of custom chatbots using a knowledge base. - [FastGPT](https://github.com/labring/FastGPT) - Knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities. #### ChatGPT Extensions - [WebChatGPT](https://chrome.google.com/webstore/detail/webchatgpt-chatgpt-with-i/lpfemeioodjbpieminkklglpmhlngfcn) - Augment ChatGPT prompts with relevant web results. - [GPT for Sheets and Docs](https://workspace.google.com/marketplace/app/gpt_for_sheets_and_docs/677318054654) - ChatGPT extension for Google Sheets and Docs. - [YouTube Summary with ChatGPT](https://chrome.google.com/webstore/detail/youtube-summary-with-chat/nmmicjeknamkfloonkhcjmomieiodli) - Summarize YouTube videos with ChatGPT. - [ChatGPT Prompt Genius](https://chrome.google.com/webstore/detail/chatgpt-prompt-genius/jjdnakkfjnnbbckhifcfchagnpofjffo) - Discover and share the best prompts for ChatGPT. - [ChatGPT for Search Engines](https://chrome.google.com/webstore/detail/chatgpt-for-search-engine/eeeonhemodpkdckaljcjogdncpiiban) - Display ChatGPT responses alongside search results. ### Code Assistants - [Refact](https://github.com/smallcloudai/refact) - Open-source AI coding assistant with code completion and chat. - [Draw a UI](https://github.com/SawyerHood/draw-a-ui) - Draw a mockup and generate HTML using AI. - [Continue](https://github.com/continuedev/continue) - Open-source autopilot for VS Code and JetBrains. - [Sweep AI](https://github.com/sweepai/sweep) - AI junior developer that turns bugs and requests into code changes. - [Cody](https://github.com/sourcegraph/cody) - Free, open-source AI coding assistant for code completion and Q&A. - [Aider](https://github.com/paul-gauthier/aider) - Pair program with GPT-3.5/GPT-4 to edit code in your git repo. - [AutoPR](https://github.com/irgolic/AutoPR) - Automated pull request workflow powered by AI. - [bloop](https://github.com/BloopAI/bloop) - ChatGPT for your codebase; search and generate patches. - [GitHub Copilot](https://github.com/features/copilot) - Uses OpenAI Codex to suggest code and functions. - [Ghostwriter](https://replit.com/site/ghostwriter) - AI-powered pair programmer by Replit. - [Amazon CodeWhisperer](https://aws.amazon.com/codewhisperer/) - Build applications faster with ML-powered coding companion. - [MutableAI](https://mutable.ai/) - AI-accelerated software development. - [GPT-Code UI](https://github.com/ricklamers/gpt-code-ui) - Open-source implementation of ChatGPT Code Interpreter. ### Vector Databases - [Weaviate](https://github.com/weaviate/weaviate) - An open-source vector database that's robust and scalable. - [Milvus](https://github.com/milvus-io/milvus) - Open-source vector database for embedding similarity search. - [Qdrant](https://github.com/qdrant/qdrant) - Vector similarity search engine and database. - [Deep Lake](https://github.com/activeloopai/deeplake) - Database for AI optimized for deep-learning applications. - [Chroma](https://github.com/chroma-core/chroma) - Open-source embedding database for AI applications. - [LanceDB](https://github.com/lancedb/lancedb) - Developer-friendly vector database for AI applications. ### Stable Diffusion - [Stable Diffusion Web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) - Browser interface for Stable Diffusion. - [Midjourney](https://www.midjourney.com/) - Independent research lab exploring new mediums of thought. - [InvokeAI](https://github.com/invoke-ai/InvokeAI) - Creative engine for Stable Diffusion models. - [ComfyUI](https://github.com/comfyanonymous/ComfyUI) - Powerful and modular Stable Diffusion GUI and backend. - [Lama Cleaner](https://github.com/Sanster/lama-cleaner) - Image inpainting tool powered by SOTA AI models. - [ControlNet](https://github.com/lllyasviel/ControlNet) - Neural network structure to control diffusion models by adding extra conditions. - [Stable Diffusion XL](https://github.com/Stability-AI/generative-models) - Stability AI's advanced text-to-image model with improved quality and features. ### Audio Generation #### AI Voice Cloning - [Eleven Labs](https://beta.elevenlabs.io/) - AI voice generator with lifelike voices. - [Resemble AI](https://www.resemble.ai/) - AI voice generator and voice cloning for text-to-speech. - [Murf AI](https://murf.ai/) - Create voiceovers with lifelike AI voices. - [Bark](https://github.com/suno-ai/bark) - Transformer-based text-to-audio model. #opensource - [AudioCraft](https://github.com/facebookresearch/audiocraft) - A library for audio processing and generation with deep learning, including MusicGen for music generation. - [Whisper](https://github.com/openai/whisper) - OpenAI's robust speech recognition model for transcription and translation. #### Music Generation - [Harmonai](https://www.harmonai.org/) - Open-source generative audio tools for music production. - [Mubert](https://www.mubert.com/) - Royalty-free music ecosystem powered by AI. - [MusicLM](https://google-research.github.io/seanet/musiclm/examples/) - Google's model for generating high-fidelity music from text. ### Marketing AI Tools - [Jasper AI](https://www.jasper.ai/) - AI-powered tool for generating marketing content like blogs, emails, and ad copy. - [Mutiny](https://www.mutinyhq.com/) - Personalization platform to improve website conversions using AI. - [Clearbit](https://clearbit.com/) - Lead enrichment and data intelligence platform. - [Adzooma](https://www.adzooma.com/) - AI-powered PPC campaign management platform. - [Phrasee](https://www.phrasee.co/) - AI tool that generates optimized marketing copy. - [Rupert AI](https://www.getrupert.com/) - AI tools for designers and marketers. - [Persuva](https://persuva.ai) - AI-driven platform to create persuasive, high-converting ad copy at scale. ### Other - [PromptBase](https://promptbase.com/) - Marketplace for buying and selling quality prompts for AI models. - [Have I Been Trained?](https://haveibeentrained.com/) - Check if your image has been used to train AI art models. - [GummySearch](https://gummysearch.com/) - AI-based customer research via Reddit. - [Taplio](https://taplio.com/) - AI-powered LinkedIn tool. - [PromptPal](https://promptpal.net) - Search for prompts and bots, then use them with your favorite AI. - [Code to Flow](https://codetoflow.com) - Visualize code logic as flowcharts using AI. - [AI-Flow](https://ai-flow.net/) - Connect multiple AI models easily. - [Architecture Helper](https://architecturehelper.com) - Analyze building architecture and generate custom styles. - [LM Studio](https://lmstudio.ai/) - Discover, download, and run local LLMs with a desktop app. - [Ollama](https://ollama.ai/) - Run, create, and share large language models locally. - [Jan](https://jan.ai/) - Open-source ChatGPT alternative that runs 100% offline on your computer. - [PrivateGPT](https://github.com/imartinez/privateGPT) - Interact privately with your documents using the power of LLMs, 100% privately, no data leaves your execution environment. - [LocalAI](https://github.com/go-skynet/LocalAI) - Self-hosted, community-driven, local OpenAI-compatible API.