Alternatives and similar repositories for scikit-learn_bench

Users that are interested in scikit-learn_bench are comparing it to the libraries listed below

• triton-inference-server / fil_backend
  FIL backend for the Triton Inference Server
  ☆87Updated 3 weeks ago
• numba / nvidia-cuda-tutorial
  Nvidia contributed CUDA tutorial for Numba
  ☆265Updated 3 years ago
• nv-legate / legate.pandas
  An Aspiring Drop-In Replacement for Pandas at Scale
  ☆74Updated 4 years ago
• rapidsai / dask-cuda
  Utilities for Dask and CUDA interactions
  ☆318Updated this week
• IntelPython / dpnp
  Data Parallel Extension for NumPy
  ☆119Updated 2 weeks ago
• uxlfoundation / oneDAL
  oneAPI Data Analytics Library (oneDAL)
  ☆647Updated this week
• IntelPython / dpctl
  Python SYCL bindings and SYCL-based Python Array API library
  ☆120Updated 2 weeks ago
• dionhaefner / pyhpc-benchmarks
  A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python
  ☆333Updated last year
• rapidsai / docker
  Dockerfile templates for creating RAPIDS Docker Images
  ☆83Updated this week
• IntelPython / numba-dpex
  Data Parallel Extension for Numba
  ☆88Updated 3 months ago
• rapidsai / ucx-py
  Python bindings for UCX
  ☆140Updated 3 months ago
• rapidsai / gpu-bdb
  RAPIDS GPU-BDB
  ☆108Updated last year
• nv-legate / legate
  The Foundation for All Legate Libraries
  ☆233Updated last week
• mlcommons / logging
  MLPerf™ logging library
  ☆37Updated 2 weeks ago
• onnx / sklearn-onnx
  Convert scikit-learn models and pipelines to ONNX
  ☆610Updated 2 months ago
• NVIDIA / numba-cuda
  The CUDA target for Numba
  ☆235Updated this week
• gpuopenanalytics / pynvml
  Provide Python access to the NVML library for GPU diagnostics
  ☆253Updated 4 months ago
• rapidsai / gputreeshap
  ☆103Updated last month
• numba / numba-examples
  Example Numba implementations of functions
  ☆178Updated 3 years ago
• nums-project / nums
  A library that translates Python and NumPy to optimized distributed systems code.
  ☆131Updated 3 years ago
• deephyper / deephyper
  DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
  ☆304Updated 3 weeks ago
• sdpython / mlprodict
  Productionize machine learning predictions, with ONNX or without
  ☆66Updated last year
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆152Updated last year
• shwina / stdpar-cython
  Exploring using stdpar and Cython
  ☆34Updated 5 years ago
• mlcommons / mlcube
  MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
  ☆158Updated last month
• ContinuumIO / gtc2019-numba
  Numba tutorial for GTC2019
  ☆134Updated 2 years ago
• rapidsai / jupyterlab-nvdashboard
  A JupyterLab extension for displaying dashboards of GPU usage.
  ☆667Updated last week
• NVIDIA / gbm-bench
  A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.
  ☆38Updated 3 years ago
• intel / torch-ccl
  oneCCL Bindings for Pytorch* (deprecated)
  ☆104Updated last week
• data-apis / array-api
  RFC document, tooling and other content related to the array API standard
  ☆262Updated 3 weeks ago