Alternatives and similar repositories for ray

Users that are interested in ray are comparing it to the libraries listed below

• Lightning-AI / pytorch-lightning
  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
  ☆29,523Updated this week
• dask / dask
  Parallel computing with task scheduling
  ☆13,237Updated last week
• openai / spinningup
  An educational resource to help anyone learn deep reinforcement learning.
  ☆10,903Updated 9 months ago
• jax-ml / jax
  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
  ☆32,386Updated this week
• mlflow / mlflow
  Open source platform for the machine learning lifecycle
  ☆20,638Updated this week
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,009Updated this week
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,494Updated last month
• microsoft / nni
  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…
  ☆14,191Updated 10 months ago
• modin-project / modin
  Modin: Scale your Pandas workflows by changing a single line of code
  ☆10,172Updated this week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,422Updated this week
• dmlc / xgboost
  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…
  ☆26,964Updated this week
• keras-team / keras
  Deep Learning for humans
  ☆63,040Updated this week
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,773Updated last month
• pytorch / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆90,331Updated this week
• facebook / prophet
  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
  ☆19,235Updated 2 weeks ago
• microsoft / LightGBM
  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …
  ☆17,260Updated this week
• vaexio / vaex
  Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…
  ☆8,387Updated 7 months ago
• d2l-ai / d2l-en
  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …
  ☆25,900Updated 9 months ago
• google / dopamine
  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
  ☆10,738Updated 6 months ago
• google-research / google-research
  Google Research
  ☆35,607Updated 2 weeks ago
• onnx / onnx
  Open standard for machine learning interoperability
  ☆19,003Updated this week
• fastai / fastai
  The fastai deep learning library
  ☆26,987Updated last week
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,839Updated 4 months ago
• apache / tvm
  Open deep learning compiler stack for cpu, gpu and specialized accelerators
  ☆12,319Updated this week
• ludwig-ai / ludwig
  Low-code framework for building custom LLMs, neural networks, and other AI models
  ☆11,475Updated this week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,032Updated last month
• streamlit / streamlit
  Streamlit — A faster way to build and share data apps.
  ☆39,616Updated this week
• triton-inference-server / server
  The Triton Inference Server provides an optimized cloud and edge inferencing solution.
  ☆9,255Updated this week
• facebookresearch / hydra
  Hydra is a framework for elegantly configuring complex applications
  ☆9,348Updated 2 weeks ago
• explosion / spaCy
  💫 Industrial-strength Natural Language Processing (NLP) in Python
  ☆31,637Updated last week