liudonglei

RASNet

Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

siamese-fc

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

GOTURN

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

AAPR

Automatic Academic Paper Rating: Data and Model (ACL 2018)

simple_mf

Simple but Flexible Recommendation Engine in PyTorch

keras-recommendation

Using Keras to implement recommender systems

tensorrec

A TensorFlow recommendation algorithm and framework in Python.

spotlight

Deep recommender models using PyTorch.

theano-BPR

Using theano to implement the Matrix Factorization with BPR ranking loss

triplet_recommendations_keras

An example of doing MovieLens recommendations using triplet loss in Keras

KerasCollaborativeFiltering

My Keras implementation of Matrix Factorization (MF) and Bayesian Personalized Ranking (BPR)

BPR

Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "

sparse-structured-attention

Sparse and structured neural attention mechanisms

ga-reader

Gated Attention Reader for Text Comprehension

skipnet

Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)

drn

Dilated Residual Networks

dilation

Dilated Convolution for Semantic Image Segmentation

ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

Learning-Natural-Language-Inference-using-Bidirectional-LSTM-model-and-Inner-Attention

Implementation of sentence comparison model using inner attention

insightface

State-of-the-art 2D and 3D Face Analysis Project

lsoftmax-pytorch

The Pytorch Implementation of L-Softmax

AMSoftmax

A simple yet effective loss function for face verification.

Additive-Margin-Softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

LargeMargin_Softmax_Loss

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

ai_law

all kinds of baseline models for long text classificaiton( text categorization)

ANALOGY

Analogical inference for knowledge graph completion

disambiguation

tf-attentive-conv

A Tensorflow implementation of Yin Wenpeng's recent paper on TACL "Attentive Convolution"

fastai

The fastai deep learning library