Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Repository Index
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LLM training in simple, raw C/CUDA
Clone any viral video with AI agents. Not just a script, the whole workflow: swap the face, the words, the B-roll, ship 100 variants in one command, and get your 100M views.
- agentic-ai
- ai
- ai-agents
- ai-video
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A hyperparameter optimization framework
- python
- machine-learning
- parallel
- distributed
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
- nsfw-classifier
- nsfw
- deep-learning
- content-moderation
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
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
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Fast and Accurate ML in 3 Lines of Code
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
- machine-learning
- python
- data-science
- automl
Perform data science on data that remains in someone else's server
- deep-learning
- secure-computation
- pytorch
- privacy
Unified framework for robot learning with multi-physics/renderer support
- robot-learning
- robotics
- omniverse-kit-extension
- isaac-sim
Automated Machine Learning with scikit-learn
- automl
- scikit-learn
- automated-machine-learning
- hyperparameter-optimization
Distributed Asynchronous Hyperparameter Optimization in Python
- hacktoberfest
The repository host gives no description.
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
- novel-view-synthesis
- 3d-photo
The repository host gives no description.
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