graemehoo Goto Github PK

awesome-deep-learning-papers

The most cited deep learning papers

awesome-gcn

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

awesome-knowledge-graph

整理知识图谱相关学习资料

awesomefakenews

This repository contains recent research on fake news.

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

capsnet-visualization

🎆 A visualization of the CapsNet layers to better understand how it works

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

convnet

convnet

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

dm_project_typhoon

Data mining project: predict the location of typhoon in 24 hours based on the history data

dr-nmf

Implementation of deep recurrent nonnegative matrix factorization (DR-NMF) for speech separation

early-fakenews-detection

Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks

gnnpapers

Must-read papers on graph neural networks (GNN)

graemehoo.github.io

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-based-nn

Graph Convolutional Networks (GCNs)

graph_embedding

implement of the graph embedding methods

hacking-test

优麒麟活动项目

hbtp

Homogeneity-Based Transmissive Process To Model True and False News in Social Networks

kgcn

A graph-based deep learning framework for life science

learning_git_from_liao

learning git from liao

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

leetcode

LeetCode题解，151道题完整版

machine-learning-notes

This contains my machine learning notes in latex form

matrix-analysis

A library for basic matrix computation and analysis

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml_algorithm

some machine learning algorithm by python

mvgcn

neural-net-matrix-factorization

Exploring neural networks for collaborative filtering.

nimfa

Nimfa - A Python module for nonnegative matrix factorization