A flexible framework of neural networks for deep learning

NumPy-like API accelerated with CUDA

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.

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

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

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

WICWIU(What I can Create is What I Understand)

Lightweight turnkey solution for AI

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

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

Allstate Kaggle Competition ML Capstone Project

Script to remotely check GPU servers for free GPUs

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.

LLVM resources and things.

A simple starting point for doing deep learning in Racket

Tutorial for using Singularity containers

Artificial go player based on reinforcement and supervised learning

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

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.

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

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

Deep Learning With C++

Full build script for Open CV with/without cuda and bumblebee support