rapidsai / cuml

Related projects: ⓘ

• rapidsai / cudf
  cuDF - GPU DataFrame Library
  ☆8,259Updated this week
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,332Updated 3 weeks ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,801Updated last week
• optuna / optuna
  A hyperparameter optimization framework
  ☆10,527Updated last week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,200Updated last month
• cupy / cupy
  NumPy & SciPy for GPU
  ☆8,124Updated this week
• lmcinnes / umap
  Uniform Manifold Approximation and Projection
  ☆7,363Updated last month
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,211Updated this week
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆4,810Updated this week
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,348Updated 5 months ago
• autogluon / autogluon
  Fast and Accurate ML in 3 Lines of Code
  ☆7,646Updated this week
• nalepae / pandarallel
  A simple and efficient tool to parallelize Pandas operations on all available CPUs
  ☆3,634Updated 2 months ago
• rapidsai / cugraph
  cuGraph - RAPIDS Graph Analytics Library
  ☆1,675Updated this week
• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆5,950Updated this week
• catalyst-team / catalyst
  Accelerated deep learning R&D
  ☆3,274Updated 5 months ago
• aimhubio / aim
  Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
  ☆5,145Updated this week
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,362Updated this week
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,379Updated 2 months ago
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,512Updated this week
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,158Updated 2 weeks ago
• NVIDIA / DALI
  A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…
  ☆5,065Updated this week
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,846Updated last month
• facebookresearch / hiplot
  HiPlot makes understanding high dimensional data easy
  ☆2,739Updated 8 months ago
• facebookresearch / fairscale
  PyTorch extensions for high performance and large scale training.
  ☆3,149Updated 2 weeks ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,196Updated this week
• pytorch / serve
  Serve, optimize and scale PyTorch models in production
  ☆4,155Updated this week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆3,931Updated this week
• huggingface / knockknock
  🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
  ☆2,779Updated last year
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,542Updated last week
• microsoft / FLAML
  A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
  ☆3,851Updated last week