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pytorch-lamb

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

pytorch-meta

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

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

semantic-segmentation-tutorial-pytorch

A simple PyTorch codebase for semantic segmentation using Cityscapes.

sg-net

spectral

Python module for hyperspectral image processing

ssrn

This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

style-based-gan-pytorch

Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

tensorflow

An Open Source Machine Learning Framework for Everyone

texthero

Text preprocessing, representation and visualization from zero to hero.

tf-vaegan

VAE-GAN in Tensorflow

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

universal-domain-adaptation

Code release for Universal Domain Adaptation(CVPR 2019)

unlock-netease-cloud-music

解锁网易云音乐客户端变灰歌曲

up-detr

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

vae-cvae-mnist

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

vaegan-pytorch

VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch