ray-project / rayLinks
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
☆37,929Updated this week
Alternatives and similar repositories for ray
Users that are interested in ray are comparing it to the libraries listed below
Sorting:
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,531Updated last week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆32,717Updated this week
- Open source platform for the machine learning lifecycle☆21,132Updated last week
- cuDF - GPU DataFrame Library☆9,033Updated this week
- Parallel computing with task scheduling☆13,314Updated 2 weeks ago
- Open standard for machine learning interoperability☆19,202Updated this week
- Visualizer for neural network, deep learning and machine learning models☆30,800Updated this week
- 🦉 Data Versioning and ML Experiments☆14,616Updated last week
- The Triton Inference Server provides an optimized cloud and edge inferencing solution.☆9,443Updated this week
- Machine Learning Toolkit for Kubernetes☆15,070Updated last month
- A library for efficient similarity search and clustering of dense vectors.☆35,944Updated this week
- Development repository for the Triton language and compiler☆16,114Updated this week
- SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability v…☆8,321Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,818Updated this week
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆12,435Updated this week
- A hyperparameter optimization framework☆12,276Updated this week
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆7,876Updated this week
- Modin: Scale your Pandas workflows by changing a single line of code☆10,217Updated this week
- The fastai deep learning library☆27,172Updated last month
- Hydra is a framework for elegantly configuring complex applications☆9,457Updated last month
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆91,292Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆51,794Updated this week
- Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stre…☆8,710Updated this week
- NumPy & SciPy for GPU☆10,323Updated this week
- Low-code framework for building custom LLMs, neural networks, and other AI models☆11,522Updated 2 weeks ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,070Updated 2 weeks ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,228Updated last year
- Serve, optimize and scale PyTorch models in production☆4,339Updated last week
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,761Updated 8 months ago
- Flax is a neural network library for JAX that is designed for flexibility.☆6,671Updated this week