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Projects in Awesome Lists tagged with mae

A curated list of projects in awesome lists tagged with mae .

https://github.com/open-mmlab/mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

beit mae masked-image-modeling moco pytorch self-supervised-learning simclr simsiam unsupervised-learning

Last synced: 14 May 2025

https://github.com/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"

deep-learning distillation mae pose-estimation pytorch self-supervised-learning vision-transformer

Last synced: 13 Feb 2026

https://github.com/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"

deep-learning distillation mae pose-estimation pytorch self-supervised-learning vision-transformer

Last synced: 08 Apr 2025

https://github.com/vturrisi/solo-learn

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

barlow-twins byol contrastive-learning deepcluster dino mae masked-input-prediction moco nnclr nvidia-dali pytorch pytorch-lightning ressl self-supervised-learning simclr simsiam swav transformer-models vibcreg vicreg

Last synced: 06 Oct 2025

https://github.com/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"

bert cnn convnet convolutional-neural-networks deep-learning iclr iclr2023 instance-segmentation mae mask-rcnn masked-autoencoder masked-image-modeling object-detection pre-trained-model pretrain pretraining pytorch self-supervised-learning sparse-convolution ssl

Last synced: 20 Mar 2025

https://github.com/MCG-NJU/VideoMAE

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

action-recognition mae masked-autoencoder neurips-2022 pytorch self-supervised-learning transformer video-analysis video-representation-learning video-transformer video-understanding vision-transformer

Last synced: 16 Mar 2025

https://github.com/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"

bert cnn convnet convolutional-neural-networks deep-learning iclr iclr2023 instance-segmentation mae mask-rcnn masked-autoencoder masked-image-modeling object-detection pre-trained-model pretrain pretraining pytorch self-supervised-learning sparse-convolution ssl

Last synced: 16 May 2025

https://github.com/edisonleeeee/awesome-masked-autoencoders

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

mae masked-autoencoder self-supervised-learning

Last synced: 26 Jan 2026

https://github.com/Alpha-VL/ConvMAE

ConvMAE: Masked Convolution Meets Masked Autoencoders

backbone computer-vision mae masked-image-modeling object-detection semantic-segmentation

Last synced: 08 May 2025

https://github.com/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

beit clip convnext cvt deep-learning deit mae moco moco-v2 paddle pixpro pvt self-supervised-learning simclr swav swin-transformer vision-transformer vit xcit

Last synced: 04 Apr 2025

https://github.com/megvii-research/RevCol

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

cnn computer-vision iclr2023 mae pytorch transformer vit

Last synced: 20 Mar 2025

https://github.com/mountchicken/union14m

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

dataset mae mmocr scene-text-recognition self-supervised union14m

Last synced: 20 Aug 2025

https://github.com/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.

arcface cait convmae cosface data-parallel deit distributed-training face-recognition facevit hight-speed large-scale mae moco-v3 model-parallel paddle paddlepaddle partial-fc resnet swin-transformer vit

Last synced: 05 Mar 2026

https://github.com/tonylianlong/crossmae

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

computer-vision deep-learning mae masked-autoencoder self-supervised-learning

Last synced: 15 Sep 2025

https://github.com/ezra-yu/accv2022_fgia_1st

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

arcface-loss eql fine-grained-classification longtail mae pseudolabelling pytorch swin

Last synced: 04 Oct 2025

https://github.com/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.

coefficient-of-determination correlation-coefficient evaluation-metrics graph mae metrics metrics-visualization mse plot python regression regression-testing rmse rmse-score rmsre

Last synced: 10 Apr 2025

https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split

Last synced: 14 Apr 2026

https://github.com/theanh130124/medical_news

An academic project on a medical news system, developed using Spring Boot and ReactJS with TSX, implementing RAG to build a disease diagnosis chatbot and X-Rays based on data crawled using Selenium.

cloudinary docker firebase firecrawl langchain mae n8n-workflow oauth2 phobert pineconedb rag-chatbot reactjs selenium-python sentence-transformers spring-boot springsecurity vision-transformer web-rtc x-ray-images

Last synced: 13 Apr 2026

https://github.com/andr3w03/chicago-weather-time-series

Machine Learning Development - Chicago Weather Time Series

dicoding keras lstm machine-learning mae python tensorflow time-series

Last synced: 08 May 2026

https://github.com/iotchulindrarai/milk_sales_production

Collect and preprocess historical sales data of Sujal Dairy Pvt. Ltd. to understand trends. Implement regression models like linear regression, decision trees, or advanced models like LSTM, based on data complexity. Validate model accuracy using metrics such as RMSE, MAE, and R-squared.

lstm machine-learning mae milk-production r-squared rmse salesprediction

Last synced: 14 Jun 2025

https://github.com/kahsolt/adv-patch-defense

Adversarial Patch defense using SegmentAndComplete (SAC) & Masked AutoEncoder (MAE)

adversarial-defense adversarial-patches mae sac

Last synced: 12 Jun 2026

https://github.com/oscartma/regression-project

Regression is a fundamental supervised machine learning technique used to predict continuous numerical outcomes based on input features.

mae mse r-squared

Last synced: 26 Oct 2025

https://github.com/richasavant/stock-market-analysis-a-two-stage-comparative-stacking-approach-using-pyspark-jan_2024

This project aims to enhance the accuracy and efficiency of stock market predictions by employing a sophisticated machine learning methodology. This project leverages the power of PySpark, a robust framework for distributed data processing, to handle large datasets and perform complex computations.

decision-trees gradient-boosting linear-regression machine-learning mae pyspark r-squared random-forest rmse stacking-ensemble stock-market stock-market-analysis stock-market-prediction

Last synced: 07 Mar 2026

https://github.com/m1dsolo/echocardmae

EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography

camus deep-learning echonet echonet-dynamic mae python3 pytorch videomae

Last synced: 18 Apr 2026

https://github.com/elmezianech/food-delivery-time-prediction

This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.

artificial-intelligence cross-validation data-cleaning data-extraction decision-tree-regression feature-engineering labelencoder linear-regression machine-learning mae ml model-building mse r2-score random-forest-regression regression rmse standardisation xgboost-regression

Last synced: 06 Jun 2026

https://github.com/ot-code/coca-cola-stock-prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost

Last synced: 13 Apr 2026

https://github.com/mohamedezzeldeenhassanmohamed/ml-gui-task

Before GUI, There are Two ways to preprocessing any data set with two jupyter notebooks, GUI to choose Cleaned CSV data_set,Show most of properties of this data_set,Choose test size & alpha size & error metrics to train Ml algorithm on this data set,show ( test & train ) Percentage as output

algorithms alpha beta data-cleaning data-metrics data-preprocessing-techniques dataset-information gui house-price-prediction imputation-methods linear-regression mae ml mse preprocessing pyqt5-desktop-application python rmse test train

Last synced: 30 Apr 2026