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

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

• llm
• lora
• sft
• multimodal

A hyperparameter optimization framework

• python
• machine-learning
• parallel
• distributed

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

• attention
• pytorch
• paper
• cbam

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

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

Automated Machine Learning with scikit-learn

• automl
• scikit-learn
• automated-machine-learning
• hyperparameter-optimization

Distributed Asynchronous Hyperparameter Optimization in Python

• hacktoberfest

A Flexible and Powerful Parameter Server for large-scale machine learning

• machine-learning
• parameter-server
• spark
• scala

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

• anomaly-localization
• anomaly-segmentation
• anomaly-detection
• unsupervised-learning

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

A 100M-parameter multilingual TTS model for real-time CPU inference, voice cloning, and 48 kHz stereo generation

• chinese
• english
• multilingual
• realtime

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

• automl
• hyperparam
• automated-machine-learning
• machine-learning

Code and hyperparameters for the paper "Generative Adversarial Networks"

AI Infra / AI Orchestration / AI Control Plane

• deep-learning
• machine-learning
• artificial-intelligence
• data-science

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

• automl
• machine-learning
• mljar
• data-science

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

• deep-learning
• machine-learning
• ml-platform
• ml-infrastructure

Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.

• controllable-generation
• foundation-models
• image-generation
• text-rendering

Automatic architecture search and hyperparameter optimization for PyTorch

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

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

• hyperopt
• keras
• hyperparameter-optimization

Machine Learning in R

• machine-learning
• data-science
• tuning
• cran

Hyper-parameter optimization for sklearn