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

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

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

WICWIU(What I can Create is What I Understand)는 한동대 딥러닝 연구실에서 국내 대학으로는 최초로 공개하는 딥러닝 오픈소스 프레임워크입니다. WICWIU는 모든 API가 C++로 제공되어 메모리 및 성능 최적화에 유리합니다. 또한, 응용시스템의 개발 외에도 프레임워크 자체를 특수한 환경에 맞도록 수정 및 확장이 가능합니다. WICWIU는 Apache2.0 라이선스를 적용해 연구 목적 및 상용 목적으로 제약 없이 활용 가능합니다.

Lightweight turnkey solution for AI

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

Optimized inference engine for OpenNMT models

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

Allstate Kaggle Competition ML Capstone Project

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

Script to remotely check GPU servers for free GPUs

LLVM resources and things.

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.

A simple starting point for doing deep learning in Racket

Artificial go player based on reinforcement and supervised learning

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.

Tutorial for using Singularity containers

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

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

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

Deep Learning With C++

[IJCNLP 2017 - Accepted] Multi-tasking deep learning framework that achieves state-of-the-art results in sentiment analysis, topic prediction, and hashtag recommendation.