didiwai

the-algorithm

Source code for Twitter's Recommendation Algorithm

bert

TensorFlow code and pre-trained models for BERT

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

fastText

Library for fast text representation and classification.

awesome-python-login-model

😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

DeepCTR

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

gcn

Implementation of Graph Convolutional Networks in TensorFlow

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

awesome-graph-classification

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

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

euler

A distributed graph deep learning framework.

Awesome-System-for-Machine-Learning

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

spektral

Graph Neural Networks with Keras and Tensorflow 2.

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

plato

腾讯高性能分布式图计算框架Plato

Tech_Aarticle

主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

GEM

Awsome-Courses

😏国内外计算机的优秀课程，包含MIT、CMU等世界CS名校，🔥🔥其中包含计算机基础学科（操作系统、计算机网络、编译器、数据库、数据结构与算法等）以及人工智能&AI等高级科目，欢迎通过PR形式贡献！

EGES

recsys_core

[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).

graph-networks

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

GRU4Rec_TensorFlow

TensorFlow implemenation of GRu4Rec model

KDDCUP_2020_Debiasing_1st_Place

deep-ctr