Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

Deep Learning for humans

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

TensorFlow code and pre-trained models for BERT

A toolkit for developing and comparing reinforcement learning algorithms.

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

Python packaging and dependency management made easy

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

A community-maintained Python framework for creating mathematical animations.

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.

Deezer source separation library including pretrained models.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Code for the paper "Language Models are Unsupervised Multitask Learners"

A generative world for general-purpose robotics & embodied AI learning.

Magenta: Music and Art Generation with Machine Intelligence

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Zipline, a Pythonic Algorithmic Trading Library

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

A framework for managing and maintaining multi-language pre-commit hooks.

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Ongoing research training transformer models at scale

Minimal and clean examples of machine learning algorithms implementations

A very fast and expressive template engine.

An educational resource to help anyone learn deep reinforcement learning.

Always know what to expect from your data.