| deeplearning4j/deeplearning4j |
13,290 |
|
175 |
119 |
over 2 years ago |
54 |
August 10, 2022 |
624 |
apache-2.0 |
Java |
| Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. |
| cudamat/cudamat |
542 |
|
0 |
0 |
almost 6 years ago |
0 |
|
27 |
bsd-3-clause |
Python |
| Python module for performing basic dense linear algebra computations on the GPU using CUDA. |
| rapidsai/raft |
530 |
|
0 |
0 |
about 2 years ago |
0 |
|
388 |
apache-2.0 |
Cuda |
| RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications. |
| SciML/LinearSolve.jl |
211 |
|
0 |
0 |
about 2 years ago |
0 |
|
62 |
other |
Julia |
| LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface. |
| ricosjp/monolish |
185 |
|
0 |
0 |
over 2 years ago |
0 |
|
37 |
apache-2.0 |
C++ |
| monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture |
| phpsci/phpsci-carray |
178 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
other |
C |
| PHP library for scientific computing powered by C |
| CEED/libCEED |
169 |
|
0 |
1 |
about 2 years ago |
4 |
November 01, 2023 |
57 |
bsd-2-clause |
C |
| CEED Library: Code for Efficient Extensible Discretizations |
| NumPower/numpower |
139 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
C |
| PHP library for efficient scientific computing and array manipulation with GPU support |
| alemart/speedy-vision |
132 |
|
2 |
3 |
over 2 years ago |
1 |
April 19, 2022 |
6 |
apache-2.0 |
JavaScript |
| GPU-accelerated Computer Vision for JavaScript. |
| denosaurs/neo |
60 |
|
0 |
0 |
over 2 years ago |
0 |
|
16 |
mit |
TypeScript |
| 👩💻 Matrix and other math, accelerated by WebGPU and WASM |
