Repository Index

🧠 Train a 64M-parameter LLM from scratch in just 2h!

• artificial-intelligence
• large-language-model

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

:zap: A Fast, Extensible Progress Bar for Python and CLI

• progressbar
• progressmeter
• progress-bar
• meter

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

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

• adapter
• diffusion
• llm
• parameter-efficient-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

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

• aws
• cloud
• aws-sdk
• aws-cli

🍀 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

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

Automated Machine Learning with scikit-learn

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

Distributed Asynchronous Hyperparameter Optimization in Python

• hacktoberfest

📚 Parameterize, execute, and analyze notebooks

• jupyter
• notebooks
• notebook-generator
• nteract

An all-in-one hacking tool to remotely take over Android devices.

• adb
• android
• android-debug-bridge
• cybersecurity

Playwright that anti-bots cannot see, so no captchas: same API, anti-detect stealth headless Firefox, undetected fingerprint, bypass bot detection, Python web scraping and browser automation.

• datadome
• perimeterx
• akamai
• antidetect-browser

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

Automation-friendly framework for Continuous Testing by

• python
• load-testing
• performance
• selenium

rsatool can be used to calculate RSA and RSA-CRT parameters

Hyper-parameter optimization for sklearn