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public_ml_models

pulp

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

puzzlemix

Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

pwc

Papers with code. Sorted by stars. Updated weekly.

pycls

Codebase for Image Classification Research, written in PyTorch.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pygat

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

pygraphistry

PyGraphistry is a library to extract, transform, and visually explore big graphs

pyhealth

A Python Library for Health Predictive Models

pymetis

A Python wrapper around Metis, a graph partitioning package

pyod

(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pysyft

A library for encrypted, privacy preserving deep learning

python-louvain

Louvain Community Detection

python-votesmart

python client library for interacting with Project Vote Smart API

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-biggraph

Generate embeddings from large-scale graph-structured data.

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-dp

Training PyTorch models with differential privacy

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-lamb

Implementation of https://arxiv.org/abs/1904.00962

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-privacy

simple Differential Privacy in PyTorch

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]