ray-project / ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
☆33,048Updated this week
Related projects: ⓘ
- A library for efficient similarity search and clustering of dense vectors.☆30,511Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆29,930Updated this week
- Open source platform for the machine learning lifecycle☆18,340Updated this week
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆82,188Updated this week
- Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.☆27,963Updated this week
- A toolkit for developing and comparing reinforcement learning algorithms.☆34,479Updated 4 months ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,158Updated 2 weeks ago
- The fastai deep learning library☆26,108Updated 3 weeks ago
- Streamlit — A faster way to build and share data apps.☆34,580Updated this week
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆26,107Updated this week
- Deep Learning for humans☆61,612Updated this week
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆132,113Updated this week
- Google Research☆33,807Updated this week
- 💫 Industrial-strength Natural Language Processing (NLP) in Python☆29,654Updated this week
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆18,277Updated 2 weeks ago
- scikit-learn: machine learning in Python☆59,439Updated this week
- TensorFlow code and pre-trained models for BERT☆37,839Updated last month
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆13,985Updated 2 months ago
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆30,165Updated last week
- Open standard for machine learning interoperability☆17,638Updated this week
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆16,535Updated this week
- Visualizer for neural network, deep learning and machine learning models☆27,558Updated this week
- 🦉 ML Experiments and Data Management with Git☆13,608Updated this week
- Library for fast text representation and classification.☆25,843Updated 5 months ago
- A hyperparameter optimization framework☆10,527Updated last week
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,359Updated last month
- Parallel computing with task scheduling☆12,405Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆22,506Updated this week
- Models and examples built with TensorFlow☆76,950Updated this week
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆37,950Updated last year