mae

There are 96 repositories under mae topic.

  • open-mmlab/mmpretrain

    OpenMMLab Pre-training Toolbox and Benchmark

    Language:Python3.2k317561k

  • open-mmlab/mmselfsup

    OpenMMLab Self-Supervised Learning Toolbox and Benchmark

    Language:Python3.1k44273425
  • SparK

    keyu-tian/SparK

    [ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

    Language:Python1.4k268081

  • vturrisi/solo-learn

    solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

    Language:Python1.4k12159177

  • MCG-NJU/VideoMAE

    [NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

    Language:Python1.2k16118123

  • ViTAE-Transformer/ViTPose

    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"

    Language:Python1.2k22131172

  • sail-sg/Adan

    Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

    Language:Python73073563

  • EdisonLeeeee/Awesome-Masked-Autoencoders

    A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

    71128150

  • Alpha-VL/ConvMAE

    ConvMAE: Masked Convolution Meets Masked Autoencoders

    Language:Python464113639

  • zgcr/SimpleAICV_pytorch_training_examples

    SimpleAICV:pytorch training and testing examples.

    Language:Jupyter Notebook40493295

  • hustvl/MIMDet

    [ICCV 2023] You Only Look at One Partial Sequence

    Language:Python329102730

  • PaddlePaddle/PASSL

    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

    Language:Python263122863

  • Lupin1998/Awesome-MIM

    [Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

    Language:Python2627614

  • megvii-research/RevCol

    Official Code of Paper "Reversible Column Networks" "RevColv2"

    Language:Python246121810

  • implus/UM-MAE

    Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"

    Language:Jupyter Notebook23252220

  • lartpang/PySODEvalToolkit

    PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection

    Language:Python15032220

  • implus/mae_segmentation

    reproduction of semantic segmentation using masked autoencoder (mae)

    Language:Python1473614

  • Mountchicken/Union14M

    [ICCV 2023] Code base for Revisiting Scene Text Recognition: A Data Perspective

    Language:Python1442279

  • PaddlePaddle/PLSC

    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.

    Language:Python144214333

  • zzhanghub/eval-co-sod

    PyTorch-Based Evaluation Tool for Co-Saliency Detection

    Language:Python923028

  • TonyLianLong/CrossMAE

    Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders

    Language:Python74435

  • Berry-Wu/Visualization

    visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro

    Language:Python71124

  • thieu1995/permetrics

    Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

    Language:Python614216

  • youngwanLEE/rc-mae

    [ICLR 2023] RC-MAE

    Language:Python48102

  • RunsenXu/MV-JAR

    [CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training

    47742

  • MCG-NJU/VideoMAE-Action-Detection

    [NeurIPS 2022 Spotlight] VideoMAE for Action Detection

    Language:Python45252

  • Ezra-Yu/ACCV2022_FGIA_1st

    1st solution for the Webly-supervised Fine-grained Recognition competition in https://www.cvmart.net/race/10412/base

    Language:Python33351

  • shufangxun/MAC

    An end-to-end masked contrastive video-and-language pre-training framework

    23100

  • wangtz19/NetMamba

    Efficient Network Traffic Classification via Pre-training Unidirectional Mamba

    Language:Python21

  • Westlake-AI/A2MIM

    [ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN

    Language:Python18232
  • Covid_Control

    lucylow/Covid_Control

    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

    Language:Jupyter Notebook15402

  • pritamqu/OOD-VSSL

    [NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts

    Language:Python11410

  • DLUT-yyc/Evaluate_VSOD_Via_Python_CUDA

    Evaluate Video Salient Object Detection Via Python And Cuda !

    Language:Python8000

  • Video-MAC/VideoMAC

    Official code for CVPR2024 “VideoMAC: Video Masked Autoencoders Meet ConvNets”

    Language:Python8211

  • ravexina/python-recommender-system

    A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.

    Language:Python7214

  • ajayarunachalam/RegressorMetricGraphPlot

    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.

    Language:Jupyter Notebook6101