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2018-tencent-ad-competition-baseline

2018腾讯广告算法大赛baseline 线上0.73

adanet

Fast and flexible AutoML with learning guarantees.

air

alg

alpha-ml

AutoML Toolkit

angel

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

automl-toolkit

A research framework for fast prototyping of automl algorithms.

autotf

Automatic machine learning toolkit for TensorFlow

awesome-auto-gnns

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-efficient-gnn

Efficient Graph Neural Networks - a curated list of papers and projects

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awsome-gnn-papers

awsome-scalable-gnns

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bim

chenzhenpeng18.github.io

my homepage

class-balancer

Simple package for dealing with unbalanced data sets.

cogdl

CogDL: An Extensive Toolkit for Deep Learning on Graphs (Graph Neural Networks, GNN)

cs-notes

:books: Computer Science Learning Notes

dat-net

datascicomp

A collection of popular Data Science Competitions

deep-learning-sentiment-analysis

Sentiment Analysis with gensim, Stanford CoreNLP, and TensorFlow

deep_learning_sentiment_analysis

Different deep learning architectures for sentiment analysis task on Stanford Sentiment Treebank dataset

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dfg-nas

ICML‘22 DF-GNAS

dig

A library for graph deep learning research

ensemble

A simple implementation of the ensemble methods

entity-embedding-rossmann

featexp

Feature exploration for supervised learning