Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

All Algorithms implemented in Python

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

🏡 Open source home automation that puts local control and privacy first.

Interact with your documents using the power of GPT, 100% privately, no data leaks

Universal memory layer for AI Agents

The best ChatGPT that $100 can buy.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

A collection of design patterns/idioms in Python

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

What the f*ck Python? 😱

You like pytorch? You like micrograd? You love tinygrad! ❤️

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Turn (almost) any Python command line program into a full GUI application with one line

An open source platform for Python in the browser. https://pyscript.net Docs: https://docs.pyscript.net/ Try it: https://pyscript.com/ Community: https://discord.gg/HxvBtukrg2

Train transformer language models with reinforcement learning.

A collaborative note taking, wiki and documentation platform that scales. Built with Django and React.

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

Convert Machine Learning Code Between Frameworks

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Practical Python Programming (course by @dabeaz)

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

A debugging and profiling tool that can trace and visualize python code execution

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

Voilà turns Jupyter notebooks into standalone web applications

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

A Python native, OS native GUI toolkit.

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%