Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Paddlex | 4,510 | 2 | 3 months ago | 54 | December 10, 2021 | 538 | apache-2.0 | Python | ||
PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具) | ||||||||||
Zenith | 1,995 | 4 months ago | 1 | March 03, 2021 | 33 | mit | Rust | |||
Zenith - sort of like top or htop but with zoom-able charts, CPU, GPU, network, and disk usage | ||||||||||
Ilgpu | 994 | 3 | 16 | 2 months ago | 54 | September 13, 2023 | 42 | other | C# | |
ILGPU JIT Compiler for high-performance .Net GPU programs | ||||||||||
Nicehashminer Archived | 801 | 5 years ago | 516 | C# | ||||||
NiceHash easy to use CPU&GPU Miner | ||||||||||
Gdrcopy | 732 | 2 months ago | 46 | mit | C++ | |||||
A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology | ||||||||||
Ultimatealpr Sdk | 550 | 4 months ago | 19 | other | C++ | |||||
World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86). | ||||||||||
Onemkl | 528 | 2 months ago | 41 | apache-2.0 | C++ | |||||
oneAPI Math Kernel Library (oneMKL) Interfaces | ||||||||||
Rainbowminer | 527 | 2 months ago | 474 | gpl-3.0 | PowerShell | |||||
GPU/CPU Mining script with intelligent profit-switching between miningpools, algorithms, miners, using all possible combinations of devices (NVIDIA, AMD, CPU). Features: actively maintained, uses the top actual miner programs (Bminer, Ccminer, Claymore, Dstm, EnemyZ, Sgminer, T-rex and more) easy setup wizard, webinterface, auto update. | ||||||||||
Relion | 400 | 2 months ago | 111 | gpl-2.0 | C++ | |||||
Image-processing software for cryo-electron microscopy | ||||||||||
Cubert | 349 | 3 years ago | 5 | mit | C++ | |||||
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL |