pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Reinforcement learning resources curated

PyTorch Tutorial for Deep Learning Researchers

Simple examples to introduce PyTorch

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

PyTorch implementation of Attention-over-Attention Neural Networks for Reading Comprehension

Models built with TensorFlow

Torch implementations of various types of autoencoders

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

TensorFlow Tutorial and Examples for beginners

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Computation using data flow graphs for scalable machine learning

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

The classical papers and codes about generative adversarial nets

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!