zrfan

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Causal-Inference-Mixtape

Python notebooks for the book by Scott Cunningham.

uplift

Code for uplift modeling.

awesome-productivity-cn

绝妙的个人生产力（Awesome Productivity - Chinese version）

awesome-causality-algorithms

An index of algorithms for learning causality with data

DSSM-Lookalike

deeplearning

深度学习相关的模型训练、评估和预测相关代码

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

HMMoE

Semi-Explicit MMoE via Heterogeneous Multi-Task Learning for Ranking Relevance

Google_MTL

Google多任务模型MMoE

deep_learning

基础的深度学习实验研究结果汇总笔记

spark-ffm

FFM (Field-Awared Factorization Machine) on Spark

public-code

公共代码库

java

Java bindings for TensorFlow

spark-nlp

State of the Art Natural Language Processing

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, ... 🧠

SparrowRecSys

A Deep Learning Recommender System

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

deepray

Deep Pray(深度祈祷): LEGO for deep learning, Making AI easier, faster and cheaper👻

STAMP

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

SHAN

Sequential Recommender System based on Hierarchical Attention Network

DeepRec

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

leetcode_company_wise_questions

This is a repository containing the list of company wise questions available on leetcode premium

spark-fm

A parallel implementation of factorization machines based on Spark

userIntentDataset

KDDCUP-2020

6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System

Pytorch-LSTMtest

testing out pytorch lstm and lstmcell for text classification

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

GraphNeuralNetwork

The learning of the GraphNeuralNetwork

target-likelihood-encoding

Generate target statistics