jhy1993 Goto Github PK

.tmux

🇫🇷 Oh My Tmux! Pretty & versatile tmux configuration made with ❤️ (imho the best tmux configuration that just works)

19www_han

acm

ad-preditor

7th in a competition organised by ICT

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

awesome-gnn-recommendation

Graph Neural Network

ban-vqa

Bilinear attention networks for visual question answering

bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

beamerstyleslides

🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。

bpr

Bayesian Personalized Ranking

buptthesis-ctex

Yet anoter BUPT Thesis LaTeX class

captcha-decoder

captcha-hacker

hack captcha with CNN

chinesechess-alphazero

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

codereader

跟大咖一起读源码

cs224w-chinese

Machine Learning with Graphs (Chinese) http://web.stanford.edu/class/cs224w/

data

Data and code behind the stories and interactives at FiveThirtyEight

data-structure

datasets-for-heterogeneous-graph

Datasets-for-Heterogeneous-Graph

decagon

Graph convolutional neural network for multirelational link prediction

deep-learning-by-matlab

deep-learning-by-myself

deeplearningbook

MIT Deep Learning Book in PDF format

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dgl

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

dgl-gtc2019

Materials for DGL Instructor-led training at GTC 2019