sth4k

WechatBot

lightseq

LightSeq: A High-Performance Inference Library for Sequence Processing and Generation

mt_scripts

some quick tools fro

leetcode_notes

ir-course

Information Retrieval and Text Mining course at the University of Stavanger (DAT640), 2020 fall

NMT

ecommerce_ds

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

ASTGCN

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

books-1

book list

GAIN

Generative Adversarial Imputation Networks (GAIN)

Deep-Learning-for-Tracking-and-Detection

Collection of papers and other resources for object tracking and detection using deep learning

PyTorchNLPBook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media http://nlproc.info/pytorch

text_matching

Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks

NIPS2018 paper

ganhacks

starter from "How to Train a GAN?" at NIPS2016

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

learngit

pytorch_study

journey learning pytorch

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network

CTRmodel

CTR prediction model based on spark(LR, GBDT, DNN)

STGCN

implementation of STGCN for traffic prediction in IJCAI2018

seq2seq

Graph-Deep-Learning

Repository for Graph Deep Learning

semisupervised_timeseries_infogan

A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.

tensorflow_study

OpenNMT-tf

Neural machine translation and sequence learning using TensorFlow

understanding-transformer

command

command to install virtualenv, cuda, cudnn, etc

awesome-rl

Reinforcement learning resources curated