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

All Algorithms implemented in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

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

scikit-learn: machine learning in Python

Scrapy, a fast high-level web crawling & scraping framework for Python.

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Investment Research for Everyone, Everywhere.

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

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

⚡ A Fast, Extensible Progress Bar for Python and CLI

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

Data validation using Python type hints

DSPy: The framework for programming—not prompting—language models

Data Apps & Dashboards for Python. No JavaScript Required.

Open standard for machine learning interoperability

A hyperparameter optimization framework

An AI Hedge Fund Team

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

A framework for few-shot evaluation of language models.

Distributed Asynchronous Hyperparameter Optimization in Python

Modern, extensible Python project management

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Lightning ⚡️ fast forecasting with statistical and econometric models.

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

Hands-on Deep Reinforcement Learning, published by Packt