Alternatives and similar repositories for cuml

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

• rapidsai / cudf
  cuDF - GPU DataFrame Library
  ☆8,947Updated this week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,032Updated last month
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,440Updated last month
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,943Updated last month
• cupy / cupy
  NumPy & SciPy for GPU
  ☆10,233Updated this week
• rapidsai / cugraph
  cuGraph - RAPIDS Graph Analytics Library
  ☆1,970Updated this week
• lmcinnes / umap
  Uniform Manifold Approximation and Projection
  ☆7,796Updated 2 weeks ago
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,665Updated 3 weeks ago
• facebookresearch / fairscale
  PyTorch extensions for high performance and large scale training.
  ☆3,322Updated last month
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,236Updated last week
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,271Updated this week
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,009Updated this week
• microsoft / tensorwatch
  Debugging, monitoring and visualization for Python Machine Learning and Data Science
  ☆3,442Updated last year
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,071Updated this week
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,575Updated this week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,422Updated this week
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,665Updated 2 weeks ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,709Updated 2 months ago
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,494Updated last month
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,730Updated 3 weeks ago
• pytorch / xla
  Enabling PyTorch on XLA Devices (e.g. Google TPU)
  ☆2,607Updated this week
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,305Updated 6 months ago
• NVIDIA / DALI
  A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…
  ☆5,407Updated this week
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,360Updated 5 months ago
• uber / petastorm
  Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…
  ☆1,839Updated last year
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,451Updated last year
• facebookresearch / hiplot
  HiPlot makes understanding high dimensional data easy
  ☆2,794Updated last year
• ml-jku / hopfield-layers
  Hopfield Networks is All You Need
  ☆1,805Updated 2 years ago
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,113Updated last year
• facebookincubator / submitit
  Python 3.8+ toolbox for submitting jobs to Slurm
  ☆1,438Updated last week