didiwai

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

the-algorithm

Source code for Twitter's Recommendation Algorithm

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！

datasketch

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

plato

腾讯高性能分布式图计算框架Plato

EGES

bert

TensorFlow code and pre-trained models for BERT

KDDCUP_2020_Debiasing_1st_Place

fastText

Library for fast text representation and classification.

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。

ml-visuals

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

spektral

Graph Neural Networks with Keras and Tensorflow 2.

dgl

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

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.

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

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

gcn

Implementation of Graph Convolutional Networks in TensorFlow

GRU4Rec_TensorFlow

TensorFlow implemenation of GRu4Rec model

awesome-graph-classification

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

euler

A distributed graph deep learning framework.

GEM

DeepCTR

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

deep-ctr

Awesome-System-for-Machine-Learning

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

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).

pretrained-models.pytorch

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

deep-learning-v2-pytorch

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

Awesome-pytorch-list

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

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🌟

snap

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