A collection of research and application papers of (uncertainty) calibration techniques.

Google Research

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

This repository contains implementations and illustrative code to accompany DeepMind publications

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

图神经网络相关算法详述及实现

【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

PyTorch original implementation of Cross-lingual Language Model Pretraining.

Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.

State-of-the-Art Text Embeddings

Keras implementation of ImageBERT from Microsoft

Must-read papers on graph neural networks (GNN)

Recommender Learning with Tensorflow2.x

1st solution for KDD Cup 2020 (RL track)

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

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

Pre-Trained Chinese XLNet（中文XLNet预训练模型）

Try to reproduce FaceShifter

Deep Match to Rank Model for Personalized Click-Through Rate Prediction

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

A PyTorch-based knowledge distillation toolkit for natural language processing

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）