chellya

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

ICLR2020-OpenReviewData

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

BurstGraph

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

KB4Rec

This is the data for KB4Rec

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

RSPapers

A Curated List of Must-read Papers on Recommender System.

sli_rec

minigo

An open-source implementation of the AlphaGoZero algorithm

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

sutton_barto

Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

MIMN

HPMN

Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.

stack-rnn

Tensorflow implementation of Stack RNN model

CollaborativeMemoryNetwork

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

deep_learning

基础的深度学习实验研究结果汇总笔记

awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

STAMP

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

dirt-t

A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

Question-Answer-Selection

biLSTM/CNN based deep learning framework for Question Answer Selection.

VDCNN

Implementation of Very Deep Convolutional Neural Network for Text Classification

DeepCoNN

This is our implementation of DeepCoNN

HRED

Hierarchical Encoder Decoder RNN

hred-tf

Hierarchical Recurrent Encoder-Decoder in TensorFlow

hred-attention-tensorflow

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

hierarchical-rnn

Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704

HRED-tensorflow

Tensorflow implementation of HRED (Hierarchical Recurrent Encoder-decoder).