qiuxiangsap

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

x-deeplearning

An industrial deep learning framework for high-dimension sparse data

MatchZoo

Facilitating the design, comparison and sharing of deep text matching models.

transformer-xl

tacotron

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

ranking

Learning to Rank in TensorFlow

finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

cs224n-winter17-notes

Course notes for CS224N Winter17

thundersvm

ThunderSVM: A Fast SVM Library on GPUs and CPUs

dien

RecommenderSystems

SASRec

SASRec: Self-Attentive Sequential Recommendation

thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

adaptive-span

Transformer training code for sequential tasks

DSIN

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

openrec

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

np-hard-deep-reinforcement-learning

pytorch neural combinatorial optimization

MKR

A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

drl-rec

Deep reinforcement learning for recommendation system

dstn

Deep Spatio-Temporal Neural Network (DSTN)

GenerativeAdversarialUserModel

Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"

HPMN

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

CoLinUCB_Revised

drr

code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"

slates_semisynth_expts

Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.

mlds-2018-hw4

Generator-Evaluator