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neuricam

nnunet

nvs2graph

Repo for "Graph-based Object Classification for Neuromorphic Vision Sensing" ICCV2019

online-unsupervised-learning

openne

An Open-Source Package for Network Embedding (NE)

openvpn-install

Set up your own OpenVPN server on Debian, Ubuntu, Fedora, CentOS or Arch Linux.

p2r-gcn

GCN based paper-researcher recommendation, SJTU EE447 course project.

path_explain

A repository for explaining feature attributions and feature interactions in deep neural networks.

per-covid-19

Covid-19 infection percentage estimation from CT-scans

person_reid_baseline_pytorch

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

perturb_explanations

Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"

pmp-covid-19

pneumoxttention

A Convolutional Neural Network compensating for Human Fallibility when Detecting Pneumonia through Attention

pocketlcd

带充电宝功能的便携显示器

powerful-gnns

How Powerful are Graph Neural Networks?

pros-gan

protopnet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

prototree

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition

prototypedl

Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AAAI 2018)

prototypical-network-pytorch

A re-implementation of "Prototypical Networks for Few-shot Learning"

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

prototypical-networks-for-few-shot-learning-pytorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pvc

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygsp

Graph Signal Processing in Python

pysgwt

Spectral Graph Wavelet Transform

pytorch-beginner

pytorch tutorial for beginners

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-explain-black-box

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation