aabbccgithub Goto Github PK

3dinfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

adr-prediction

Supplemental material for the paper "Facilitating Prediction of Adverse Drug Reactions by Using Knowledge Graphs and Multi-Label Learning Models".

ai-paper-drawer

人工智能论文关键点集结。This project aims to collect key points of AI papers.

ammgc

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attentivefp

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

awesome-machine-learning

Learning Resources And Links Of Machine Learning（updating）

benchmark-mirna-disease-2019

bifusion

bionev

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"

blog

books

技术资料分享

cmpnn

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

combine-gene-expression-images-and-rna-seq-data-for-infering-grn

compgcn

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

conference-accepted-paper-list

Some Conferences' accepted paper lists (including AI, ML, Robotic)

contrastive-predictive-coding

Keras implementation of Representation Learning with Contrastive Predictive Coding

cortex

A machine learning library for PyTorch

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

dann-ddi

data_mining_course

course homework

datawhale-202003-study-experience

这是2020年3月学习Datawhale零基础入门数据挖掘课程的心得

decagon

Graph convolutional neural network for multirelational link prediction

deep-infomax

Chainer implementation of deep-INFOMAX

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.