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picai_baseline

Baseline AI models for 3D csPCa detection/diagnosis in bpMRI

pns-net

2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation

polyp-pvt

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers (TMI2022-Submission)

polyp-segmentation-isbi2023

powerful-gnns

How Powerful are Graph Neural Networks?

practical_nlp_in_pytorch

A repository containing tutorials for practical NLP using PyTorch

pranet

code for "PraNet: Parallel Reverse Attention Network for Polyp Segmentation" published in MICCAI 2020

predict_sliding

eval semantic segmentation using sliding and tta

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

priornetworks

prml

PRML algorithms implemented in Python

probabilistic-unet

A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth

probabilistic-unet-pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

pt1-gland-graph-dataset

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pwc

Papers with code. Sorted by stars. Updated weekly.

py-patterns

设计模式的python实现

pygcn

Graph Convolutional Networks in PyTorch

pymic

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pyramid-attention-networks

Pyramid Attention Networks

pyro

Deep universal probabilistic programming with Python and PyTorch

python-1

Python script and Documents

python-data-structure-cn

problem-solving-with-algorithms-and-data-structure-using-python 中文版

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch