| danielhanchen/hyperlearn |
1,387 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. |
| dmlc/mshadow |
1,036 |
|
0 |
0 |
over 6 years ago |
0 |
|
58 |
other |
C++ |
| Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning |
| uncomplicate/neanderthal |
1,034 |
|
0 |
0 |
over 2 years ago |
61 |
October 01, 2020 |
12 |
epl-1.0 |
Clojure |
| Fast Clojure Matrix Library |
| openai/sparse_attention |
1,002 |
|
0 |
0 |
over 5 years ago |
0 |
|
10 |
|
Python |
| Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers" |
| openai/blocksparse |
903 |
|
0 |
0 |
about 3 years ago |
4 |
April 23, 2019 |
35 |
mit |
Cuda |
| Efficient GPU kernels for block-sparse matrix multiplication and convolution |
| waylonflinn/weblas |
666 |
|
15 |
5 |
over 7 years ago |
3 |
January 11, 2017 |
26 |
mit |
JavaScript |
| GPU Powered BLAS for Browsers :gem: |
| 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. |
| wichtounet/etl |
208 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
C++ |
| Blazing-fast Expression Templates Library (ETL) with GPU support, in C++ |
| cdeterman/gpuR |
202 |
|
8 |
1 |
almost 6 years ago |
9 |
May 29, 2019 |
49 |
|
R |
| R interface to use GPU's |
| llSourcell/AI_Artist |
190 |
|
0 |
0 |
over 9 years ago |
0 |
|
7 |
|
Python |
| AI Artist for Machine Learning for Hackers #5 |
