IntelPython / scikit-learn_benchLinks
scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.
☆118Updated last month
Alternatives and similar repositories for scikit-learn_bench
Users that are interested in scikit-learn_bench are comparing it to the libraries listed below
Sorting:
- Utilities for Dask and CUDA interactions☆312Updated 2 weeks ago
- Python SYCL bindings and SYCL-based Python Array API library☆116Updated last week
- oneAPI Data Analytics Library (oneDAL)☆637Updated last week
- Data Parallel Extension for NumPy☆109Updated this week
- The Foundation for All Legate Libraries☆218Updated last week
- An Aspiring Drop-In Replacement for Pandas at Scale☆74Updated 3 years ago
- RAPIDS GPU-BDB☆108Updated last year
- Python bindings for UCX☆137Updated last week
- Dockerfile templates for creating RAPIDS Docker Images☆80Updated 2 weeks ago
- FIL backend for the Triton Inference Server☆81Updated 2 weeks ago
- Nvidia contributed CUDA tutorial for Numba☆251Updated 2 years ago
- Convert scikit-learn models and pipelines to ONNX☆590Updated last week
- MLPerf™ logging library☆37Updated this week
- Data Parallel Extension for Numba☆82Updated 8 months ago
- A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python☆328Updated 9 months ago
- The CUDA target for Numba☆158Updated this week
- Example Numba implementations of functions☆177Updated 2 years ago
- oneCCL Bindings for Pytorch*☆99Updated 3 weeks ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated 10 months ago
- Benchmarks to capture important workloads.☆31Updated 6 months ago
- Analyze graph/hierarchical performance data using pandas dataframes☆116Updated 5 months ago
- oneAPI Collective Communications Library (oneCCL)☆241Updated 3 weeks ago
- Provide Python access to the NVML library for GPU diagnostics☆242Updated 8 months ago
- Distributed XGBoost on Ray☆149Updated last year
- Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.☆431Updated 2 months ago
- A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.☆38Updated 2 years ago
- BLAS-like Library Instantiation Software Framework☆143Updated 2 weeks ago
- NVIDIA Data Science stack tools☆389Updated last year
- A profiling and performance analysis tool for machine learning☆403Updated this week
- RAPIDS Memory Manager☆600Updated this week