|
vapoursynth-plugin-bilateralgpu-git
|
8.5.g5b10bd2-1 |
0 |
0.00
|
Plugin for Vapoursynth: bilateralgpu (GIT version) |
sl1pkn07
|
2022-03-13 01:27 (UTC) |
|
v3d-flow-builder-git
|
rev.116-1 |
1 |
0.00
|
The V3D Flow Builder is a GPU based tool that calculates the optical flow between two input images. |
evorster
|
2024-02-02 00:56 (UTC) |
|
umr
|
1.0.8-1 |
0 |
0.00
|
User Mode Register Debugger for AMDGPU Hardware |
xexaxo
|
2023-07-26 15:36 (UTC) |
|
torch7-warp-ctc
|
v1.0.r32.gbc29dcf-1 |
0 |
0.00
|
A fast parallel implementation of CTC, on both CPU and GPU. |
orphan
|
2020-01-15 05:14 (UTC) |
|
tnl-git
|
r7577.4a3d9321c-1 |
1 |
0.00
|
An efficient C++ library providing parallel algorithms and data structures for high-performance computing on GPUs, multicore CPUs and distributed clusters |
lahwaacz
|
2024-03-09 08:09 (UTC) |
|
thundersvm-cpu
|
0.3.4-2 |
0 |
0.00
|
A Fast SVM Library on GPUs and CPUs |
adrien1018
|
2020-12-10 10:07 (UTC) |
|
python-thundersvm-cpu
|
0.3.4-2 |
0 |
0.00
|
A Fast SVM Library on GPUs and CPUs |
adrien1018
|
2020-12-10 10:07 (UTC) |
|
thundersvm
|
0.3.4-3 |
0 |
0.00
|
A Fast SVM Library on GPUs and CPUs |
adrien1018
|
2020-12-11 11:10 (UTC) |
|
python-thundersvm
|
0.3.4-3 |
0 |
0.00
|
A Fast SVM Library on GPUs and CPUs |
adrien1018
|
2020-12-11 11:10 (UTC) |
|
texturelab-bin
|
0.3.3-8 |
0 |
0.00
|
Free, Cross-Platform, GPU-Accelerated Procedural Texture Generator |
zxp19821005
|
2024-03-18 11:21 (UTC) |
|
texture-share-vk-git
|
v0.1.0.r3.gec93418-2 |
0 |
0.00
|
Library for GPU image sharing for Vulkan and OpenGL |
DigitOtter
|
2023-11-04 16:01 (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) |
|
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) |
|
systemd-nvclock-unit
|
1.0-1 |
7 |
0.00
|
Apply nvclock fanspeed, GPU and memory clock settings with systemd |
edio
|
2015-07-06 15:13 (UTC) |
|
switcheroo-control-git
|
2.3.r6.g9bcb7b5-1 |
0 |
0.00
|
D-Bus service to check the availability of dual-GPU |
orphan
|
2020-05-05 16:38 (UTC) |
|
srbminer-multi
|
1.0.0-1 |
1 |
0.00
|
CPU & AMD GPU Miner: Mine up to 4 different algorithms/coins at the same time! - auto package update(just-rerun if page updates and leave comment) |
EndlessEden
|
2022-07-08 16:37 (UTC) |
|
somoclu-git
|
208.c5ba668-1 |
1 |
0.00
|
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters |
xgdgsc
|
2015-06-12 12:20 (UTC) |
|
somoclu
|
1.7.5-1 |
1 |
0.00
|
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters |
xgdgsc
|
2018-03-03 15:52 (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) |
|
sdl2_gpu-git
|
r734.e3d350b-1 |
0 |
0.00
|
A library for making hardware-accelerated 2D graphics easy. |
krinnewitz
|
2019-07-03 11:53 (UTC) |
|
sagecal-gpu
|
0.6.1-1 |
0 |
0.00
|
SAGECal with GPU support |
orphan
|
2019-07-23 19:07 (UTC) |
|
sagecal-git
|
1-1 |
0 |
0.00
|
SAGECal is a very fast, memory efficient and GPU accelerated radio interferometric calibration program. |
orphan
|
2019-07-23 19:09 (UTC) |
|
sagecal
|
0.6.1-1 |
1 |
0.00
|
SAGECal is a very fast, memory efficient and GPU accelerated radio interferometric calibration program. |
orphan
|
2019-07-23 19:08 (UTC) |
|
ruffle-adapter-git
|
1:r11167.74134363d-1 |
0 |
0.00
|
A Flash Player emulator written in Rust, with WGPU_ADAPTER_NAME support |
Meowkate
|
2024-02-03 22:22 (UTC) |
|
rocm-validation-suite
|
5.3.0-1 |
0 |
0.00
|
Tool for detecting and troubleshooting common problems affecting AMD GPUs |
tpkessler
|
2022-11-02 16:48 (UTC) |
|
raylib-oldgl-git
|
5.0-0 |
0 |
0.00
|
Simple and easy-to-use game programming library (for old GPUs with 2.1 OpenGL or later) |
Jumps
|
2024-02-12 23:33 (UTC) |
|
radeonjet-git
|
15.b3d58ef-1 |
4 |
0.00
|
A simple bash wrapper around AMDGPU's overclocking support |
p4block
|
2016-11-13 16:08 (UTC) |
|
r-torch
|
0.12.0-1 |
0 |
0.00
|
Tensors and Neural Networks with 'GPU' Acceleration |
BioArchLinuxBot
|
2023-12-22 18:07 (UTC) |
|
r-gpumagic
|
1.18.0-1 |
0 |
0.00
|
An openCL compiler with the capacity to compile R functions and run the code on GPU |
BioArchLinuxBot
|
2023-10-25 21:43 (UTC) |
|
r-ggpubr
|
0.6.0-1 |
1 |
0.00
|
'ggplot2' Based Publication Ready Plots |
BioArchLinuxBot
|
2023-02-10 18:03 (UTC) |
|
python-torchsde
|
0.2.6-1 |
0 |
0.00
|
Differentiable SDE solvers with GPU support and efficient sensitivity analysis |
Henry-ZHR
|
2024-01-31 00:46 (UTC) |
|
python-torchdiffeq
|
0.2.3-1 |
0 |
0.00
|
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation. |
orphan
|
2022-10-13 05:12 (UTC) |
|
python-torchcde
|
0.2.5-1 |
0 |
0.00
|
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation |
carlosal1015
|
2023-04-01 03:33 (UTC) |
|
python-theano-pymc
|
1.1.2-2 |
31 |
0.00
|
Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs |
Universebenzene
|
2022-08-06 17:45 (UTC) |
|
python-taichi
|
1.0.2-1 |
0 |
0.00
|
Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs |
PumpkinCheshire
|
2022-05-24 05:35 (UTC) |
|
python-scikit-cuda-git
|
57213a9-1 |
0 |
0.00
|
Python interface to GPU-powered libraries |
subnex
|
2018-02-12 02:56 (UTC) |
|
python-qiskit-aer-gpu
|
0.9.1-4 |
0 |
0.00
|
A high performance simulator for quantum circuits that includes noise models |
shivupa
|
2021-11-20 19:19 (UTC) |
|
python-pytorch-tensorrt
|
1.4.0-1 |
0 |
0.00
|
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT |
sl1pkn07
|
2024-01-25 19:54 (UTC) |
|
python-pytorch-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration |
VitalyR
|
2019-11-28 13:10 (UTC) |
|
python-pytorch-mkl-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with MKL-DNN) |
VitalyR
|
2019-11-28 13:10 (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-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
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pytorch-cxx11abi-opt
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with 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-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-rocm
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with ROCm) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pytorch-cxx11abi-opt-rocm
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with ROCm and AVX2 CPU optimizations) |
daizhirui
|
2024-04-01 19:15 (UTC) |
|
python-pystencils
|
1.3.3-1 |
0 |
0.00
|
Speeding up stencil computations on CPUs and GPUs |
carlosal1015
|
2024-01-29 14:13 (UTC) |