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🤖 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!

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I'll add a ⭐ to my personal favorite resources :)

PRs with additional resources or suggestions are much welcome!

Resources 📕

Learning Resources 📚

  • Neural Networks: Zero to Hero - From Andrej Karpathy, former Director of AI at Tesla and now at OpenAI.
  • Full Stack LLM Bootcamp - From the creators of the Full Stack Deep Learning course and book
  • All about LLMs - A gist with great curated learning resources
  • Transformers - Introduction to Transformers w/ Andrej Karpathy
  • The Illustrated Transformer - A great visual explanation of the Transformer architecture
  • How ChatGPT really works - I find this a great initial explanation of how ChatGPT works
  • ChatGPT Prompt Engineering for Developers! - Great course by OpenAI employees
  • Learn Prompting - Another great course (text-based) about prompting
  • Prompt Engineering ⭐ - Great post from Lilian Weng, Head of Applied AI Research at OpenAI
  • MLOps Guide - A guide on MLOps
  • MLOps Zoomcamp - A great course on MLOps
  • Prompt Engineering - Covers the history around LLMs as well as strategies, guidelines, and safety recommendations for working with and building programmatic systems on top of large language models. Very comprehensive!
  • Gandalf - A fun way to learn about prompt injection
  • Practical Deep Learning - 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 ⭐ - From Andrej Karpathy, Let's build GPT: from scratch, in code, spelled out
  • AI Canon ⭐ - A great curated list of resources to get smarter about modern AI
  • Generative AI learning path ⭐ - This learning path guides you through a curated collection of content on Generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud
  • Rules of Machine Learning - Intended to help those with a basic knowledge of machine learning get the benefit of Google's best practices in machine learning
  • AI Companion App - A tutorial stack to create and host AI companions that you can chat with on a browser or text via SMS

LLMs

  • OpenAI LLMs ⭐ - The best LLMs, in particular GPT-4. Also features GPT-3.5 and other models. GPT-3.5 and GPT-4 are used in ChatGPT
  • Hugging Face ⭐ - The leading open-source AI community. Here you can find not only the trending models but also datasets and spaces (instances of models running)
  • JARVIS - An interface for LLMs to connect numerous AI models
  • Open LLM Leaderboard - Evaluate and rank open-source LLMs
  • Guidance ⭐ - Control modern language models more effectively and efficiently than traditional prompting or chaining
  • TheBloke on HF ⭐ - A user on Hugging Face that usually compiles the best open source models in several formats (4 bit quantized and CPU/GPU inferences)
  • DemoGPT - Create 🦜️🔗 LangChain apps by just using prompts
  • Llama2 Web UI - Running Llama 2 with gradio web UI on GPU or CPU from anywhere (Linux/Windows/Mac)

Chat and Agents

  • ChatGPT ⭐ - ChatGPT is the leading chatbot, built on top of GPT-3.5 and GPT-4
  • Open-Assistant - Open-source chat agent which interacts with external sources. Probably the best agent after ChatGPT
  • Auto-GPT - The experimental open-source attempt to make GPT-4 fully autonomous which took the AI world by storm. Over 140K stars on GitHub!
  • LoopGPT ⭐ - A much-needed modular reimplementation of Auto-GPT
  • ThinkGPT - Implementing Chain of Thought reasoning for Large Language Models.
  • Transformers Agents ⭐ - Provides a natural language API on top of transformers, with a set of curated tools and an agent designed to interpret natural language and use these tools
  • GPT-Engineer - Specify what you want it to build, the AI asks for clarification, and then builds it
  • Khoj - An AI personal assistant for your digital brain
  • Danswer - OpenSource Enterprise Question-Answering
  • simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity
  • RealChar - https://github.com/Shaunwei/RealChar
  • MetaGPT - The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
  • ChatGPT AutoExpert - Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding). -

Development

  • LangChain ⭐ - Framework for developing applications powered by LLMs
  • Pinecone - Long-term memory for models with a vector database
  • Chroma - The open-source alternative to Pinecone
  • Plugandplai - Simplify the integration of plugins into open-source LLMs
  • GPTCache - Caching for LLM responses. Useful for cost savings
  • OpenAI Cookbook - A collection of examples and best practices for building with OpenAI
  • How to build an agent with LangChain - Great Jupyter notebook, straight from OpenAI
  • Mojo - A new programming language that bridges the gap between research and production by combining the best of Python syntax with systems programming and metaprogramming
  • Semantic Kernel - SDK that enables integration of AI Large Language Models (LLMs) with conventional programming languages (currently supports only C# and Python)
  • Langcorn - API server that enables you to serve LangChain models and pipelines with ease, leveraging the power of FastAPI
  • smol developer ⭐ - Your own personal junior developer :)
  • smol plugin - Automatically generate @openai plugins by specifying your API in markdown
  • Kor - A thin wrapper on top of LLMs that helps to extract structured data
  • tiktoken - A fast BPE tokeniser used with OpenAI's models.
  • OpenAI function calling - Standardise LLM output
  • Vercel AI SDK - Build AI-powered applications with React, Svelte, and Vue
  • Code Interpreter API - Open source implementation of the ChatGPT Code Interpreter
  • Open Interpreter - An open-source, locally running implementation of OpenAI's Code Interpreter

Tools

  • Vault AI - Tool for uploading documents and asking questions about their content
  • LangFlow ⭐ - Visual prototyping and experimentation with LangChain
  • Flowise - Same as LangFlow, but with LangChainJS
  • PentestGPT - A GPT-empowered penetration testing tool 🕵️
  • TypingMind ⭐ - A better UI for ChatGPT
  • privateGPT ⭐ - Documents Q&A using open-source LLMs
  • Quivr ⭐ - Dump all your files and thoughts into your GenerativeAI Second Brain and chat with it
  • Stable Diffusion Web UI - A browser interface based on Gradio library for Stable Diffusion
  • h2oGPT ⭐ - Like privateGPT, but with GPU inference supported
  • localGPT - Inspired in privateGPT, but using Vicuna-7b and InstructorEmbeddings. GPU/CPU support
  • Promptflow - Create executable flowcharts that link LLMs, prompts, Python functions, and conditional logic together
  • Dify - Create and operate AI-native apps based on OpenAI GPT models
  • txtai - Semantic search and workflows powered by language models
  • Unofficial OpenAI Status ⭐ - An in-depth OpenAI status page
  • gpt-prompt-engineer - Input a description of your task and some test cases, and the system will generate, test, and rank a multitude of prompts to find the ones that perform the best
  • rag-stack - Deploy a private ChatGPT alternative hosted within your VPC

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