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unixkd

unnas

Code for "Are labels necessary for neural architecture search"

unsupervised-data-augmentation

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

unsupervised-person-re-identification-clustering-and-fine-tuning

unsupervised_embedding_learning

Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

vae_gumble_softmax

pytorch implementation of VAE-Gumble-Softmax

vanillakd

Code and checkpoints release for VanillaKD

vcml

PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019

vega

AutoML tools chain

versatile-filters

Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)

vibnet

Compressing Neural Networks using the Variational Information Bottleneck

vip

Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers

vision-transformer-pytorch

Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.

vit-pytorch

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

vit-slim

Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”

vs_gae

waveq

weaknas

[Preprint] “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

webpage-template

Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.

weighted-soft-label-distillation

weightnet

weightstandardization

Standardizing weights to accelerate micro-batch training

white-box

Tools for understanding how transformer predictions are built layer-by-layer

why-clipping-accelerates

A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity

wimh966.github.io

wincnn

Winograd minimal convolution algorithm generator for convolutional neural networks.

xded

Official PyTorch implementation of "Cross-Domain Ensemble Distillation for Domain Generalization" (ECCV 2022)

xlearn

Transfer Learning Library

xnor-net-pytorch

PyTorch Implementation of XNOR-Net

xrnerf

OpenXRLab Neural Radiance Field (NeRF) Toolbox and Benchmark