#Cudnn

Showing 15 of 15 repositories tagged #cudnn, ranked by stars

cupy
cupy
cupy

NumPy & SciPy for GPU

Score
100
โ˜… 12.1k โ‘‚ 1.1k +32/day
Python
chainer
chainer
chainer

A flexible framework of neural networks for deep learning

Score
67
โ˜… 5.9k โ‘‚ 1.3k +1/day
Python
leriomaggio
leriomaggio
deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

Score
33
โ˜… 3.0k โ‘‚ 1.3k โ€”
Jupyter Notebook
chelsea0x3b
chelsea0x3b
dfdx

Deep learning in Rust, with shape checked tensors and neural networks

Score
0
โ˜… 1.9k โ‘‚ 107 +2/day
Rust
mratsim
mratsim
Arraymancer

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Score
100
โ˜… 1.4k โ‘‚ 101 โ€”
Nim
philferriere
philferriere
dlwin

GPU-accelerated Deep Learning on Windows 10 native

Score
80
โ˜… 516 โ‘‚ 100 โ€”
Python
coderonion
coderonion
awesome-cuda-and-hpc

๐Ÿš€๐Ÿš€๐Ÿš€ This repository lists some awesome public CUDA, cuda-python, cuBLAS, cuDNN, CUTLASS, TensorRT, TensorRT-LLM, Triton, TVM, MLIR, PTX and High Performance Computing (HPC) projects.

Score
0
โ˜… 495 โ‘‚ 47 +2/day
yechengxi
yechengxi
LightNet

Efficient, transparent deep learning in hundreds of lines of code.

Score
60
โ˜… 272 โ‘‚ 115 โ€”
MATLAB
nathtest
nathtest
Tutorial-Ubuntu-18.04-Install-Nvidia-driver-and-CUDA-and-CUDNN-and-build-Tensorflow-for-gpu

Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line

Score
40
โ˜… 106 โ‘‚ 34 โ€”
jing-vision
jing-vision
lightnet

Lightweight turnkey solution for AI

Score
0
โ˜… 100 โ‘‚ 25 โ€”
Python
mratsim
mratsim
Arch-Data-Science

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

Score
50
โ˜… 97 โ‘‚ 4 โ€”
Shell
dnkirill
dnkirill
allstate_capstone

Allstate Kaggle Competition ML Capstone Project

Score
100
โ˜… 83 โ‘‚ 56 โ€”
Jupyter Notebook
Cr33zz
Cr33zz
Neuro_

C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).

Score
20
โ˜… 38 โ‘‚ 8 โ€”
C++
dereklstinson
dereklstinson
gocudnn

Go Bindings for cudnn and other cuda pacakges.

Score
0
โ˜… 31 โ‘‚ 6 โ€”
Go
dcos-labs
dcos-labs
dcos-jupyterlab-service

JupyterLab Notebook for Mesosphere DC/OS

Score
0
โ˜… 11 โ‘‚ 11 โ€”
Shell
Related Topics
#cuda#deep-learning#neural-network#gpu#machine-learning#tensorflow#python#keras#tensor#tutorial#xgboost#cublas

ยฉ 2026 GitRepoTrend ยท GitHub repositories by topic ยท Updated weekly