深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos

Graph Convolutional Networks in PyTorch

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

beego框架学习入门系列（一）

📆 准备秋招学习笔记

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Text classifier for Hierarchical Attention Networks for Document Classification

a improved dssm model for chinese or english

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Simple Reinforcement learning tutorials

Deep Reinforcement Learning with pytorch & visdom

Highly modularized implementation of popular deep RL algorithms by PyTorch

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Simple PyTorch Tutorials Zero to ALL!

Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"

A TensorFlow implementation of Baidu's DeepSpeech architecture

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

Tensorflow based training and classification scripts for text, images, etc

Convolutional Neural Network for Text Classification in Tensorflow