|
zluda-git
|
2.r1.g60d2124-1 |
0 |
0.00
|
A drop-in replacement for CUDA on Intel Skylake/Gen9 or newer GPUs (git version) |
dbermond
|
2022-11-14 10:58 (UTC) |
|
zluda
|
2-3 |
6 |
1.30
|
A drop-in replacement for CUDA on Intel Skylake/Gen9 or newer GPUs |
dbermond
|
2022-11-14 10:58 (UTC) |
|
xmrig-mo-cuda
|
6.21.1mo1-1 |
0 |
0.00
|
NVIDIA CUDA plugin for XMRig miner, MoneroOcean fork. |
ItachiSan
|
2024-04-03 21:08 (UTC) |
|
xmrig-cuda
|
6.21.1-1 |
6 |
0.00
|
NVIDIA CUDA plugin for XMRig miner. |
hv15
|
2024-03-25 19:18 (UTC) |
|
xmr-stak-rx
|
1.0.5-2 |
7 |
0.00
|
Unified All-in-one Monero miner (no cuda) |
codyps
|
2021-03-03 00:25 (UTC) |
|
xmr-stak-nvidia-git
|
2.10.8.r0.g67cf951-1 |
5 |
0.00
|
Free Monero RandomX Miner and unified CryptoNight miner (CUDA) |
orphan
|
2020-06-03 19:27 (UTC) |
|
xmr-stak-nvidia
|
2.10.8-1 |
0 |
0.00
|
Unified All-in-one Monero miner (CUDA) |
AlwayHereOrThere
|
2021-03-18 02:27 (UTC) |
|
xmr-stak
|
2.10.8-2 |
7 |
0.00
|
Unified All-in-one Monero miner (no cuda) |
codyps
|
2021-03-03 16:14 (UTC) |
|
whisper.cpp-cublas
|
1.5.5-2 |
7 |
0.34
|
Port of OpenAI's Whisper model in C/C++ (with NVIDIA CUDA optimizations) |
robertfoster
|
2024-04-26 15:22 (UTC) |
|
waifu2x-converter-cpp-cuda-git
|
5.3.4.2.g57520b2-2 |
14 |
0.00
|
Image Super-Resolution for Anime-Style-Art. (re-implementation in C++ using OpenCV). with CUDA support (GIT Version) |
sl1pkn07
|
2023-11-01 00:27 (UTC) |
|
waifu2x-caffe
|
v1.1.2-2 |
3 |
0.00
|
Image rescaling and noise reduction using the power of convolutional neural networks. Rewritten from the original Waifu2x using Caffe. Compiled with CUDA & cuDNN enabled flags. |
ginnokami
|
2024-02-28 01:12 (UTC) |
|
viennacl
|
1.7.1-2 |
14 |
0.00
|
The library provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL and OpenMP. |
intelfx
|
2017-01-21 07:38 (UTC) |
|
vexcl-git
|
20170418-5 |
3 |
0.00
|
a C++ vector expression template library for OpenCL/CUDA |
ddemidov
|
2017-04-18 16:37 (UTC) |
|
vdr-softhdvaapi
|
3.22-2 |
0 |
0.00
|
VDR output plugin with CUDA and Opengl |
M-Reimer
|
2024-04-24 18:06 (UTC) |
|
vdr-softhddrm
|
3.22-2 |
0 |
0.00
|
VDR output plugin with CUDA and Opengl |
M-Reimer
|
2024-04-24 18:06 (UTC) |
|
vdr-softhdcuvid
|
3.22-2 |
0 |
0.00
|
VDR output plugin with CUDA and Opengl |
M-Reimer
|
2024-04-24 18:06 (UTC) |
|
vapoursynth-plugin-nlm-cuda-git
|
1.1.g81019c9-1 |
0 |
0.00
|
Plugin for Vapoursynth: nlm-cuda (GIT version) |
sl1pkn07
|
2023-08-31 15:35 (UTC) |
|
vapoursynth-plugin-eedi2cuda-git
|
1.10.g3f4e137-1 |
0 |
0.00
|
Plugin for Vapoursynth: eedi2cuda (GIT version) |
sl1pkn07
|
2022-03-13 23:47 (UTC) |
|
vapoursynth-plugin-bm3dcuda-git
|
2.14.1.ga9dcda9-1 |
0 |
0.00
|
Plugin for Vapoursynth: bm3dcuda (GIT version) |
sl1pkn07
|
2023-12-03 15:35 (UTC) |
|
vapoursynth-plugin-bm3dcuda-cpu-git
|
2.10.1.g6ce6828-1 |
0 |
0.00
|
Plugin for Vapoursynth: bm3dcuda-cpu (GIT version) |
WoofinaS
|
2022-08-18 02:59 (UTC) |
|
ugene-cuda
|
50.0-1 |
1 |
0.00
|
A free open-source cross-platform bioinformatics software (with CUDA) |
hottea
|
2024-04-14 06:56 (UTC) |
|
trinnity-caffe-cuda-git
|
1.0-26 |
0 |
0.00
|
Caffe 1.0 with triNNity extensions (CUDA backend) |
andrew-wja
|
2020-01-08 14:26 (UTC) |
|
torch7-cutorch-git
|
r1026.5e9d86c-6 |
8 |
0.00
|
A CUDA backend for Torch7 |
orphan
|
2023-05-11 19:12 (UTC) |
|
torch7-cunnx-git
|
r185.3307c4a-1 |
0 |
0.00
|
Experimental cuda nn package |
orphan
|
2019-01-10 10:39 (UTC) |
|
torch7-cunn-git
|
r819.1ae6aa0-5 |
5 |
0.00
|
CUDA backend for Torch7 Neural Network Package |
eclairevoyant
|
2023-01-07 20:44 (UTC) |
|
tensorflow-model-server-cuda-git
|
1.10-1 |
0 |
0.00
|
A flexible, high-performance serving system for machine learning models |
happyslowly
|
2018-08-16 22:19 (UTC) |
|
tensorflow-cuda-kepler
|
2.3.1-3 |
0 |
0.00
|
TensorFlow compiled with Kepler GPU supports (e.g., K20, K40, K80, etc.) only. |
pychuang
|
2020-10-10 19:00 (UTC) |
|
tensorflow-cuda-git
|
1.12.1+54837+g03796cf1dda-1 |
2 |
0.00
|
Library for computation using data flow graphs for scalable machine learning (with CUDA) |
orphan
|
2021-04-14 00:37 (UTC) |
|
stable-diffusion.cpp-cublas-git
|
r108.48bcce4-1 |
2 |
0.21
|
Stable Diffusion in pure C/C++ (with NVIDIA CUDA optimizations) |
robertfoster
|
2024-03-26 10:14 (UTC) |
|
spfft
|
1.0.6-2 |
1 |
0.00
|
Sparse 3D FFT library with MPI, OpenMP, CUDA and ROCm support |
a.kudelin
|
2023-06-06 12:36 (UTC) |
|
silentarmy-nvmod-git
|
v5.29.g016f8e8-1 |
2 |
0.00
|
GPU Zcash Equihash solver optimized for Nvidia and CUDA 8 |
timde9
|
2016-12-18 00:50 (UTC) |
|
siftgpu
|
0.5.400-9 |
5 |
0.00
|
Sift Features over GPU using GLSL or CUDA |
bartus
|
2019-04-26 07:20 (UTC) |
|
ros-noetic-fast-gicp-git
|
r142.68b4364-3 |
0 |
0.00
|
OpenMP boosted NDT and GICP algorithms with CUDA enabled |
orphan
|
2022-03-23 00:41 (UTC) |
|
python-tensorflow-cuda-kepler
|
2.3.1-3 |
0 |
0.00
|
TensorFlow compiled with Kepler GPU supports (e.g., K20, K40, K80, etc.) only. |
pychuang
|
2020-10-10 19:00 (UTC) |
|
python-tensorflow-cuda-git
|
1.12.1+54837+g03796cf1dda-1 |
2 |
0.00
|
Library for computation using data flow graphs for scalable machine learning (with CUDA) |
orphan
|
2021-04-14 00:37 (UTC) |
|
python-tensorflow-addons-cuda-git
|
r1490.14af819a-1 |
2 |
0.00
|
Useful extra functionality for TensorFlow 2.x, built with CUDA support |
piernov
|
2022-12-30 16:41 (UTC) |
|
python-sonnet-cuda-git
|
20180531.170829-1 |
1 |
0.43
|
TensorFlow-based neural network library. |
orphan
|
2018-06-02 04:31 (UTC) |
|
python-scikit-cuda-git
|
57213a9-1 |
0 |
0.00
|
Python interface to GPU-powered libraries |
subnex
|
2018-02-12 02:56 (UTC) |
|
python-pytorch_spline_conv-cuda
|
1.2.0-1 |
0 |
0.00
|
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch (with CUDA) |
scottgigante
|
2021-01-07 23:51 (UTC) |
|
python-pytorch-mkl-cuda-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and MKL-DNN) |
VitalyR
|
2019-11-28 13:10 (UTC) |
|
python-pytorch-cxx11abi-opt-cuda
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with CUDA and AVX2 CPU optimizations) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pytorch-cxx11abi-cuda
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with CUDA) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pytorch-cuda-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA) |
VitalyR
|
2019-11-28 13:10 (UTC) |
|
python-pykeops
|
2.2.2-1 |
0 |
0.00
|
Python bindings for the cpp/cuda library KeOps. |
Dylan14
|
2024-02-13 16:56 (UTC) |
|
python-paddlepaddle-cuda-git
|
2.2.1.r33234.8da9eff4e49-2 |
0 |
0.00
|
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (with CUDA) |
orphan
|
2021-12-24 03:49 (UTC) |
|
python-paddlepaddle-cuda
|
2.2.2-1 |
0 |
0.00
|
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (with CUDA) |
orphan
|
2022-01-21 04:41 (UTC) |
|
python-multiscaledeformableattention
|
1.0.0-2 |
0 |
0.00
|
Python library of MultiScaleDeformableAttention, the CUDA operator proposed by Deformable DETR. |
fanyujun
|
2023-10-06 09:36 (UTC) |
|
python-mmcv-full
|
1:2.2.0-1 |
1 |
0.00
|
OpenMMLab Computer Vision Foundation (full version, with full features, include cuda ops) |
hottea
|
2024-04-24 23:11 (UTC) |
|
python-mmcv
|
1:2.2.0-1 |
1 |
0.00
|
OpenMMLab Computer Vision Foundation(cpu version, without cuda ops) |
hottea
|
2024-04-24 23:11 (UTC) |
|
python-lightgbm-cuda
|
2.2.3-1 |
0 |
0.00
|
Distributed gradient boosting framework based on decision tree algorithms. |
orphan
|
2019-07-29 17:49 (UTC) |