Sandbox3aster

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

PowerShell

PowerShell for every system!

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

GraphEmbedding

Implementation and experiments of graph embedding algorithms.

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

ClassyVision

An end-to-end PyTorch framework for image and video classification

gansformer

Generative Adversarial Transformers

Efficient-PyTorch

My best practice of training large dataset using PyTorch.

DeblurGANv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

EnlightenGAN

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

azure-storage-fuse

A virtual file system adapter for Azure Blob storage

AutoGAN

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

GLNet

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

ABD-Net

[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

torchshard

Slicing a PyTorch Tensor Into Parallel Shards

H3DNet

infinibatch

Efficient, check-pointed data loading for deep learning with massive data sets.

CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing

TENAS

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

dropbox_ext4

Hack to make Dropbox work on non-ext4 filesystems

UAV-NDFT

[ICCV 2019] "Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach"

nasbench-1shot1

ALISTA

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

dnr-utils

Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper: https://arxiv.org/abs/2110.09958

learning-to-learn-by-gradient-descent-by-gradient-descent

Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"

USAID

[Preprint] "Segmentation-Aware Image Denoising without Knowing True Segmentation"

WeakNAS

[NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen and Lu Yuan

contrastive-embeddings-for-neural-architectures

Architecture embeddings independent from the parametrization of the search space

Rethinking-Binarized-Neural-Network-Optimization

Reproduction of "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization" for the Reproducibility challenge@NeurIPS19

data