cudnn

A flexible framework of neural networks for deep learning

NumPy & SciPy for GPU

Introduction to Deep Neural Networks with Keras and Tensorflow

1st place solution

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

GPU-accelerated Deep Learning on Windows 10 native

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

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

MLSpace: Hassle-free machine learning & deep learning development

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

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

WICWIU(What I can Create is What I Understand)

Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.

Lightweight turnkey solution for AI

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

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

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

Script to remotely check GPU servers for free GPUs

Allstate Kaggle Competition ML Capstone Project

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.

YOLOX + ROS2 object detection package

Tutorial for using Singularity containers

LLVM resources and things.

A simple starting point for doing deep learning in Racket

Artificial go player based on reinforcement and supervised learning

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档

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.

A collection of Bash scripts and Dockerfiles to install data science Tool, Lib and application

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement