There are 1 repository under mae topic.
OpenMMLab Pre-training Toolbox and Benchmark
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
SimpleAICV:pytorch training and testing examples.
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,simsiam, SwAV, BEiT,MAE 等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
Official Code of Paper "Reversible Column Networks" "RevColv2"
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
Paddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.
reproduction of semantic segmentation using masked autoencoder (mae)
PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
[ICCV 2023] Code base for Revisiting Scene Text Recognition: A Data Perspective
PyTorch-Based Evaluation Tool for Co-Saliency Detection
Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
visualization:filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
[NeurIPS 2022 Spotlight] VideoMAE for Action Detection
1st solution for the Webly-supervised Fine-grained Recognition competition in https://www.cvmart.net/race/10412/base
An end-to-end masked contrastive video-and-language pre-training framework
Machine learning to predict future number Covid19 Daily Cases (7-day moving average). Long Short Term Memory (LSTM) Predictor and Reinforcement Learning (RL) Prescription with Oxford Dataset
[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Evaluate Video Salient Object Detection Via Python And Cuda !
A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.
Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (mape), etc.
Building a model which can predict the number of online 'shares' an article will get based on a set of variables attached to it. (Python)
keras implementation of vision transformers