lebedov / scikit-cudaLinks
Python interface to GPU-powered libraries
☆991Updated last year
Alternatives and similar repositories for scikit-cuda
Users that are interested in scikit-cuda are comparing it to the libraries listed below
Sorting:
- CUDA integration for Python, plus shiny features☆1,942Updated 3 weeks ago
- Python module for performing basic dense linear algebra computations on the GPU using CUDA.☆607Updated 5 years ago
- Python bindings for ArrayFire: A general purpose GPU library.☆419Updated 2 years ago
- OpenCL integration for Python, plus shiny features☆1,103Updated this week
- Flexible HDF5 saving/loading and other data science tools from the University of Chicago☆268Updated last year
- a HDF5-based python pickle replacement☆506Updated last year
- A code generator for array-based code on CPUs and GPUs☆604Updated last week
- ATen: A TENsor library for C++11☆694Updated 5 years ago
- Fast NumPy array functions written in C☆1,117Updated 2 weeks ago
- Describing statistical models in Python using symbolic formulas☆969Updated this week
- Python bindings for MPI☆854Updated 3 weeks ago
- Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more☆2,319Updated last month
- Collective communications library with various primitives for multi-machine training.☆1,306Updated this week
- Simple structured learning framework for python☆667Updated 3 years ago
- NumPy interface with mixed backend execution☆1,104Updated 7 years ago
- Algebraic Multigrid Solvers in Python☆604Updated 3 weeks ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆878Updated 4 years ago
- common in-memory tensor structure☆1,002Updated 2 weeks ago
- Example python (numpy) -- CUDA installable package with a C-extension library☆143Updated 5 years ago
- Scalable Machine Learning with Dask☆938Updated 3 weeks ago
- CVXOPT -- Python Software for Convex Optimization☆1,015Updated 7 months ago
- Sparse multi-dimensional arrays for the PyData ecosystem☆634Updated this week
- An Aspiring Drop-In Replacement for NumPy at Scale☆894Updated this week
- Acceleration package for neural networks on multi-core CPUs☆1,686Updated 11 months ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,396Updated 7 years ago
- A Python package to manage extremely large amounts of data☆1,333Updated last month
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆298Updated 6 years ago
- ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.☆916Updated 2 months ago
- Fast Randomized PCA/SVD☆495Updated 5 years ago
- A domain specific language to express machine learning workloads.☆1,759Updated 2 years ago