cudnn
There are 199 repositories under cudnn topic.
cupy/cupy
NumPy & SciPy for GPU
chainer/chainer
A flexible framework of neural networks for deep learning
leriomaggio/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Arturus/kaggle-web-traffic
1st place solution
coreylowman/dfdx
Deep learning in Rust, with shape checked tensors and neural networks
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
philferriere/dlwin
GPU-accelerated Deep Learning on Windows 10 native
luoyetx/mini-caffe
Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.
abhishekkrthakur/mlspace
MLSpace: Hassle-free machine learning & deep learning development
yechengxi/LightNet
Efficient, transparent deep learning in hundreds of lines of code.
pythonlessons/TensorFlow-object-detection-tutorial
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
tamimmirza/Intrusion-Detection-System-using-Deep-Learning
VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
Qengineering/Install-OpenCV-Jetson-Nano
OpenCV installation script with CUDA and cuDNN support
inoryy/tensorflow-optimized-wheels
TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA
bdusell/singularity-tutorial
Tutorial for using Singularity containers
mseitzer/gpu-monitor
Script to remotely check GPU servers for free GPUs
WICWIU/WICWIU
WICWIU(What I can Create is What I Understand)
Bruce-Lee-LY/cuda_hook
Hooked CUDA-related dynamic libraries by using automated code generation tools.
jing-vision/lightnet
Lightweight turnkey solution for AI
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
upul/Aurora
Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
Qengineering/PyTorch-Jetson-Nano
PyTorch installation wheels for Jetson Nano
codingonion/awesome-cuda-tensorrt-fpga
🔥🔥🔥 A collection of some awesome public NVIDIA CUDA, cuBLAS, cuDNN, TensorRT, AMD ROCm and FPGA projects.
mratsim/Arch-Data-Science
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
dnkirill/allstate_capstone
Allstate Kaggle Competition ML Capstone Project
heethesh/Computer-Vision-and-Deep-Learning-Setup
Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano, and Keras; OpenCV; and NVIDIA drivers, CUDA, and cuDNN libraries on Ubuntu 16.04, 17.10 and 18.04.
charlescearl/DeepRacket
A simple starting point for doing deep learning in Racket
Ar-Ray-code/darknet_ros_fp16
darknet + ROS2 Humble + OpenCV4 + CUDA 11（cuDNN, Jetson Orin）
valtron/llvm-stuff
LLVM resources and things.
ashutoshIITK/install_cuda_cudnn_ubuntu_20
Tutorial to install NVIDIA Drivers, CUDA 11.4 and cuDNN for deep learning programming on Ubuntu 20.04.
google/nvidia_libs_test
Tests and benchmarks for cudnn (and in the future, other nvidia libraries)
yehengchen/Ubuntu-Deep-Learning-Environment-Setup
Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档
kblomdahl/dream-go
Artificial go player based on reinforcement and supervised learning
chiehpower/Setup-deeplearning-tools
Set up CI in DL/ cuda/ cudnn/ TensorRT/ onnx2trt/ onnxruntime/ onnxsim/ Pytorch/ Triton-Inference-Server/ Bazel/ Tesseract/ PaddleOCR/ NVIDIA-docker/ minIO/ Supervisord on AGX or PC from scratch.
kingardor/YOLOv4-OpenCV-CUDA-DNN
Run YOLOv4 directly with OpenCV using the CUDA enabled DNN module.
Abaco-Systems/jetson-inference-gv
This fork of the deep learning guide has been adapted to work with a variety of different inputs USB camera, GigEVision and RTP on the TX1 SoM. This is a a quick demonstrator and example for users of the Abaco Systems rugged Small Form Factor (SFF) TX1 boxed solutions. Please visit out website for more details.