|
ccminer-git
|
r917.b54be47-1 |
18 |
0.01
|
Coin miner using CUDA for nVidia GPUs. |
orphan
|
2018-01-04 23:37 (UTC) |
|
crark
|
5.5-1 |
0 |
0.00
|
A command-line utility for RAR 2.x-3.x password cracking, uses Password Cracking Library 2.0 that supports special password recovery language. Highly optimized for all modern processors. with CUDA support |
orphan
|
2020-11-10 14:36 (UTC) |
|
cuda-z-svn
|
1:0.11.r291.20180317-1 |
0 |
0.00
|
CUDA Information Utility. |
orphan
|
2023-10-31 19:25 (UTC) |
|
cudaminer-git
|
209.746a773-4 |
5 |
0.00
|
CUDA accelerated mining application for scrypt coins(Litecoin etc.). |
orphan
|
2017-08-07 09:42 (UTC) |
|
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) |
|
mixbench-cuda-git
|
0.193.v0.03.8.gbab3fb7-1 |
0 |
0.00
|
GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA implementation) |
orphan
|
2020-11-23 20:24 (UTC) |
|
mxnet-cuda
|
1.7.0-2 |
12 |
0.00
|
Flexible and Efficient Library for Deep Learning (with CUDA) |
orphan
|
2020-12-12 11:17 (UTC) |
|
mxnet-cuda-git
|
2.0.0.r11770.7d84b59845-1 |
0 |
0.00
|
A flexible and efficient library for deep learning (with CUDA) |
orphan
|
2022-01-19 06:02 (UTC) |
|
mxnet-mkl-cuda
|
1.7.0-2 |
12 |
0.00
|
Flexible and Efficient Library for Deep Learning (with MKL and CUDA) |
orphan
|
2020-12-12 11:17 (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) |
|
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-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-sonnet-cuda-git
|
20180531.170829-1 |
1 |
0.49
|
TensorFlow-based neural network library. |
orphan
|
2018-06-02 04:31 (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) |
|
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) |
|
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) |
|
torch7-cunnx-git
|
r185.3307c4a-1 |
0 |
0.00
|
Experimental cuda nn package |
orphan
|
2019-01-10 10:39 (UTC) |
|
torch7-cutorch-git
|
r1026.5e9d86c-6 |
8 |
0.00
|
A CUDA backend for Torch7 |
orphan
|
2023-05-11 19:12 (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) |
|
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) |
|
hipsycl-cuda
|
0.9.4-1 |
0 |
0.00
|
Multi-backend implementation of SYCL for CPUs and GPUs |
acxz
|
2023-02-22 14:27 (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) |
|
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) |
|
hs-miner
|
0.0.10-1 |
0 |
0.00
|
Handshake CUDA miner |
aureooms
|
2021-02-18 13:36 (UTC) |
|
hipify-clang-git
|
r1415.a53fe40-1 |
0 |
0.00
|
Clang-based tool for translating CUDA sources into HIP sources |
aviallon
|
2021-09-20 09:07 (UTC) |
|
barracudavpn-bin
|
5.2.2-2 |
1 |
0.00
|
Barracuda VPN Client for Linux - needs original download from Barracuda |
bart
|
2024-01-17 09:06 (UTC) |
|
siftgpu
|
0.5.400-9 |
5 |
0.00
|
Sift Features over GPU using GLSL or CUDA |
bartus
|
2019-04-26 07:20 (UTC) |
|
matconvnet-cudnn
|
1.0.25-4 |
0 |
0.00
|
matconvnet compile with cuda and cudnn |
bilabila
|
2019-05-29 04:47 (UTC) |
|
genn_cpu_only
|
2:4.9.0-1 |
0 |
0.00
|
GeNN: GPU-enhanced neural networks (without CUDA backend) |
billypilgrim
|
2023-12-11 08:20 (UTC) |
|
oxdna-cuda
|
3.6.0-1 |
1 |
0.19
|
DNA/RNA/etc simulator, with CUDA support and analysis tools. |
cge
|
2024-01-27 18:00 (UTC) |
|
oxdna-cuda-git
|
v3.6.1.r10.g9af1214a-1 |
2 |
0.21
|
DNA/RNA/etc simulator, from lorenzo-rovigatti/oxDNA, with CUDA support and analysis tools. |
cge
|
2024-03-23 10:33 (UTC) |
|
katago-cuda
|
1.14.1-2 |
1 |
0.00
|
Baduk engine with no human-provided knowledge |
chengscott
|
2024-03-22 07:57 (UTC) |
|
libtorch-cuda
|
2.2.2-2 |
0 |
0.00
|
PyTorch C++ API |
chengscott
|
2024-04-08 10:03 (UTC) |
|
python-aitemplate-git
|
0.3.dev0.r653.gd2dc957b-1 |
0 |
0.00
|
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. |
chengscott
|
2024-03-23 07:51 (UTC) |
|
cuda-8.0
|
8.0.61-3 |
3 |
0.00
|
NVIDIA's GPU programming toolkit. Version 8.0 |
clbuttic
|
2017-10-27 07:08 (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) |
|
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) |
|
ffmpeg-cuda
|
1:6.1-2 |
3 |
0.00
|
Complete solution to record, convert and stream audio and video. Includes cuda support. |
daizhirui
|
2023-12-16 18:54 (UTC) |
|
libtorch-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 support) |
daizhirui
|
2024-04-16 08:28 (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-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) |
|
blendnet
|
0.3.11-1 |
2 |
0.00
|
Distribute your Blender renders (with CUDA CPU+GPU support!) |
danogentili
|
2022-05-27 09:26 (UTC) |
|
cutlass
|
3.4.0-1 |
0 |
0.00
|
CUDA Templates for Linear Algebra Subroutines |
daskol
|
2024-04-18 11:51 (UTC) |
|
python-jaxlib-cuda
|
0.4.26-1 |
3 |
0.03
|
XLA library for JAX |
daskol
|
2024-04-04 09:49 (UTC) |
|
caffe-cuda
|
1.0-12 |
2 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (with cuda support) |
dbermond
|
2022-03-01 14:46 (UTC) |
|
caffe-cuda-doc
|
1.0-12 |
2 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (with cuda support, documentation) |
dbermond
|
2022-03-01 14:46 (UTC) |
|
caffe-cuda-doc-git
|
1.0.r136.g9b8915401-3 |
0 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (with cuda support, documentation, git version) |
dbermond
|
2022-03-01 14:46 (UTC) |
|
caffe-cuda-git
|
1.0.r136.g9b8915401-3 |
0 |
0.00
|
A deep learning framework made with expression, speed, and modularity in mind (with cuda support, git version) |
dbermond
|
2022-03-01 14:46 (UTC) |
|
cuda11.1
|
11.1.1-3 |
3 |
0.04
|
NVIDIA's GPU programming toolkit (version 11.1) |
dbermond
|
2023-06-20 02:36 (UTC) |
|
cuda11.1-tools
|
11.1.1-3 |
3 |
0.04
|
NVIDIA's GPU programming toolkit (extra tools: nvvp, nsight) (version 11.1) |
dbermond
|
2023-06-20 02:36 (UTC) |