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angel

A Flexible and Powerful Parameter Server for large-scale machine learning

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 prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

diag

euler

A distributed graph deep learning framework.

finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

gcn

Implementation of Graph Convolutional Networks in TensorFlow

grok-1

Grok open release

gua-area

famous PDF

jstorm

Enterprise Stream Process Engine

libffm

A Library for Field-aware Factorization Machines

line

LINE: Large-scale information network embedding

machinelearning

nebula_dart_gdbc

A database driver for nebula graph based on dart_gdbc

node2vec

probabilistic-backpropagation

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

reco-papers

Classic papers and resources on recommendation

senet

Squeeze-and-Excitation Networks

spark

Apache Spark

spark-tsne

Distributed t-SNE via Apache Spark

tensorflow

An Open Source Machine Learning Framework for Everyone

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

wevi

Word Embedding Visual Inspector

word2vec

google 官方word2vec 中文注释版