maggie0106 Goto Github PK

bgcn

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

capslayer

CapsLayer: An advanced library for capsule theory

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

comp-551-1

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_baseline

graph-cnn-in-3d-point-cloud-classification

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

mosek.pip

PIP MOSEK installer

noah-research

Noah Research

pace2017

A step-by-step Keras implementation of PACE (Preference And Context Embedding) described in our KDD 2017 paper.

signal_recovery_on_graph

signal recovery on graph using uniform sampilng and experiment design sampling

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

terminal-mac-cheatsheet

List of my most used commands and shortcuts in the terminal for Mac

udacity-data-analysis

Data Analysis projects

versatile-filters

Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)

wechat_jump_game

python 微信《跳一跳》辅助