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ae2-nets

code of AE^2-Nets （Autoencoder in Autoencoder Networks）

att-blstm-relation-extraction

Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

attention-based-bilstm-relation-extraction

Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

awesome-fashion-ai

A repository to curate and summarise research papers related to fashion and e-commerce

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

bcrnn

A TensorFlow implementation of “Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification”

chen94yue.github.io

clmlc

Clustering-based Local Multi-Label Classification

clothing-recommender

ML

cool-fashion-papers

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

cpm_nets

The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]

danmf

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deepfashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

ean

evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

fashion-ai

Fashion-AI is a PyTorch code base that implements various sate-of-the-art algorithms related to fashion AI, e.g., compatibility prediction, outfit recommendation, etc.

fashion-compatibility

Learning Type-Aware Embeddings for Fashion Compatibility

fashion_compatibility_mcn

Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gazeml

Gaze Estimation using Deep Learning, a Tensorflow-based framework.

generative-models

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

gnnpapers

Must-read papers on graph neural networks (GNN)

graphrec-www19

Graph Neural Networks for Social Recommendation, WWW'19

learning-similarity-conditions

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

low-rank-multimodal-fusion

This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018

ml-gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mmbidaf

The MultiModal BiDirectional Attention Flow network code.