Repository Index

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

• ray
• distributed
• parallel
• machine-learning

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

• deep-learning
• pytorch
• gpu
• machine-learning

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

• deep-learning
• machine-learning
• book
• notebook

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

• machine-learning
• experiment-track
• deep-learning
• keras

Fast and Accurate ML in 3 Lines of Code

• automl
• machine-learning
• data-science
• deep-learning

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

• cloud-computing
• deep-learning
• gpu
• hyperparameter-tuning

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

• wandb
• reinforcement-learning
• pytorch
• python

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

• quantum
• machine-learning
• deep-learning
• neural-network

Automatic architecture search and hyperparameter optimization for PyTorch

• automl
• deep-learning
• tabular-data
• pytorch

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

• python
• genetic-algorithm
• optimization
• numpy

Hyperparameter Experiments with TensorFlow and Keras

• deep-learning
• keras
• keras-tensorflow
• hyperparameter-optimization

MLBox is a powerful Automated Machine Learning python library.

• machine-learning
• auto-ml
• kaggle
• deep-learning

Portfolio optimization with deep learning.

• deep-learning
• portfolio-optimization
• finance
• machine-learning

An autoML framework & toolkit for machine learning on graphs.

• graph-neural-networks
• automl
• pytorch
• pytorch-geometric

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

• pipeline
• pipeline-framework
• machine-learning
• deep-learning

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

• python
• pytorch
• machine-learning
• deep-learning

Maze Applied Reinforcement Learning Framework

• reinforcement-learning
• python
• machine-learning
• simulation