《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

Image augmentation for machine learning experiments.

Kaggle competition

使用 TensorFlow 进行 finetuning 的通用分类模型

AI比赛相关信息汇总

Learning to Rank in TensorFlow

Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017

A searchable compilation of Kaggle past solutions

The Code of "Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification." IEEE TIP2015

Go AI program which implements the AlphaGo Zero paper

Automatically exported from code.google.com/p/word2vec

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

Code for CVPR2016 and TIP papers about Object Skeleton Detection with Fully Convolutional Neural Networks.

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

Simple reference implementation of GraphSAGE.

Implementation of Graph Convolutional Networks in TensorFlow

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

An Open Source Machine Learning Framework for Everyone

An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.