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awesome-best-papers

Collect awesome best papers from top AI conferences.

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.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

bert

TensorFlow code and pre-trained models for BERT

chatbot-list

行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍

cikm2020_dmt

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020

collaborative-filtering

Implemented Item, User and Hybrid based Collaborative Filtering

coursera-machine-learning

Notes and Assignments for Andrew Ng's Machine Learning - Python3 code

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deep_neural_networks_for_youtube_recommendations

根据deep_neural_networks_for_youtube_recommendations文章用tensorflow搭建dnn，然后用org.tensorflow加载模型并用spark预测

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

docs

TensorFlow documentation

estimator

train, evaluate and deploy model using tf-estimator

fate

An Industrial Level Federated Learning Framework

fedlearner

A Collaborative Machine Learning Framework

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

graphembedding

Implementation and experiments of graph embedding algorithms.

hcl

ICLR 2021, Contrastive Learning with Hard Negative Samples

iclr2022-openreviewdata

Crawl & visualize ICLR papers and reviews.

jd_maotai

抢京东茅台脚本

jieba

结巴中文分词

keras-mmoe

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

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

matlab

matlab tips

model-based-cf-method-python-

implement a matrix factorization based CF method using gradient descent

models

Models and examples built with TensorFlow

nlp_learning

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

obsidian