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

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

• machine-learning
• models
• ui
• ui-components

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• python
• machine-learning
• deep-learning
• data-science

Best Practices on Recommendation Systems

• machine-learning
• recommender
• ranking
• deep-learning

☁️ Build multimodal AI applications with cloud-native stack

• neural-search
• cloud-native
• deep-learning
• machine-learning

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

• inference
• gpu
• machine-learning
• deep-learning

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

• bloom
• deep-learning
• distributed-systems
• language-models

Accelerated deep learning R&D

• deep-learning
• reinforcement-learning
• machine-learning
• computer-vision

MLBox is a powerful Automated Machine Learning python library.

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

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

• hpc
• workflow
• workflow-automation
• workflow-management

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

• reinforcement-learning
• deep-learning
• pytorch
• pytorch-reinforcement-learning

Maze Applied Reinforcement Learning Framework

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