soda-inria / sklearn-numba-dpex
Experimental plugin for scikit-learn to be able to run (some estimators) on Intel GPUs via numba-dpex.
☆15Updated 11 months ago
Alternatives and similar repositories for sklearn-numba-dpex:
Users that are interested in sklearn-numba-dpex are comparing it to the libraries listed below
- Data Parallel Extension for Numba☆79Updated 2 months ago
- The CUDA target for Numba☆43Updated this week
- An Aspiring Drop-In Replacement for Pandas at Scale☆75Updated 3 years ago
- Python SYCL bindings and SYCL-based Python Array API library☆106Updated this week
- Collection of scripts to build PyTorch and the domain libraries from source.☆10Updated last week
- Data Parallel Extension for NumPy☆101Updated this week
- Dask development blog☆30Updated 2 months ago
- ☆20Updated last year
- Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.☆32Updated this week
- C++20 idiomatic APIs for the Apache Arrow Columnar Format☆28Updated this week
- Data and tooling to compare the API surfaces of various array libraries.☆54Updated 8 months ago
- CUDA Templates for Linear Algebra Subroutines☆12Updated this week
- Analyze graph/hierarchical performance data using pandas dataframes☆109Updated 3 months ago
- NPBench - A Benchmarking Suite for High-Performance NumPy☆76Updated 2 months ago
- NumPy ufuncs and utilities.☆52Updated 2 weeks ago
- A collection of creative AnyWidgets for Python notebook environments☆22Updated last week
- Python combination of Ray and Numba providing compiled distributed arrays, remote functions, and actors.☆32Updated 8 months ago
- Deploy Dask using MPI4Py☆52Updated 3 months ago
- A Data-Centric Compiler for Machine Learning☆82Updated last year
- Efficient matrix representations for working with tabular data☆120Updated this week
- Dynamically typed N-D expression system based on xtensor☆25Updated 3 years ago
- Jupyter and iPython magic for compiling Python extensions written in Rust☆12Updated 11 months ago
- Python bindings for UCX☆123Updated this week
- Worked example of the process from Python source to CUDA kernel execution with Numba☆37Updated 4 months ago
- The Foundation for All Legate Libraries☆202Updated last month
- Parallel NumPy seamlessly speeds up NumPy for large arrays (64K+ elements) with no change required to existing code.☆60Updated 3 years ago
- RAPIDS - combined conda package & integration tests for all of RAPIDS libraries☆16Updated this week
- ArrayViews: creating specific views to array storage objects☆17Updated 5 years ago
- Test suite for Python array API standard compliance☆65Updated last week
- A backend-dispatchable version of NumPy.☆19Updated 3 years ago