Topic: mae Goto Github
Some thing interesting about mae
Some thing interesting about mae
mae,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.
User: ajayarunachalam
mae,ConvMAE: Masked Convolution Meets Masked Autoencoders
User: alpha-vl
mae,Mechanical and Aerospace Engineering Final Year Project
User: alwinw
Home Page: http://users.monash.edu.au/~bburn/pdf/afmc21_396_wang.pdf
mae,keras implementation of vision transformers
User: amberzzzz
mae,visualization:filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
User: berry-wu
mae,A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
User: edisonleeeee
mae,1st solution for the Webly-supervised Fine-grained Recognition competition in https://www.cvmart.net/race/10412/base
User: ezra-yu
mae,Semi-supervised Object Detection with MAE
User: hmdliu
mae,[ICCV 2023] You Only Look at One Partial Sequence
Organization: hustvl
Home Page: https://arxiv.org/abs/2204.02964
mae,reproduction of semantic segmentation using masked autoencoder (mae)
User: implus
mae,Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
User: implus
mae,[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"
User: keyu-tian
Home Page: https://arxiv.org/abs/2301.03580
mae,Weather Data Time Series
User: ksatriow
mae,Early stages of incorporating self-supervised with algorithm unrolling. Code was written as part of a master's thesis (60 ECTS) at Aalborg University, Denmark.
User: larsenandreas
mae,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
User: lucylow
Home Page: https://arxiv.org/pdf/2002.05368.pdf
mae,[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
User: lupin1998
Home Page: https://openmixup.readthedocs.io/en/latest/awesome_selfsup/MIM.html
mae,code for "AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+"
Organization: maple-research-lab
mae,[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Organization: mcg-nju
Home Page: https://arxiv.org/abs/2203.12602
mae,[NeurIPS 2022 Spotlight] VideoMAE for Action Detection
Organization: mcg-nju
mae,Official Code of Paper "Reversible Column Networks" "RevColv2"
Organization: megvii-research
mae,A recommendation system for Restaurants!
User: mohammedjasam
mae,[ICCV 2023] Code base for Revisiting Scene Text Recognition: A Data Perspective
User: mountchicken
Home Page: https://union14m.github.io/
mae,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)
User: north0n-fi
mae,Skeleton-based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition
User: o-ikne
mae,[SHREC24] Skeleton-based Self-Supervised Learning For Dynamic Hand Gesture Recognition
User: o-ikne
mae,OpenMMLab Pre-training Toolbox and Benchmark
Organization: open-mmlab
Home Page: https://mmpretrain.readthedocs.io/en/latest/
mae,OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Organization: open-mmlab
Home Page: https://mmselfsup.readthedocs.io/en/latest/
mae,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
Organization: paddlepaddle
mae,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.
Organization: paddlepaddle
mae,[NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
User: pritamqu
Home Page: https://pritamsarkar.com/OOD-VSSL/
mae,Documentation for Project MAE
Organization: project-mae
Home Page: https://project-mae.github.io/documentation/
mae,Modern Analytical Engine
Organization: project-mae
Home Page: https://project-mae.github.io/
mae,A public-facing website with high-level information about Project MAE
Organization: project-mae
Home Page: https://project-mae.github.io
mae,A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.
User: ravexina
mae,[CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
User: runsenxu
Home Page: https://arxiv.org/abs/2303.13510
mae,An end-to-end masked contrastive video-and-language pre-training framework
User: shufangxun
mae,Compute the mean absolute error (MAE) incrementally.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
mae,Compute a moving mean absolute error (MAE) incrementally.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
mae,Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
User: thieu1995
Home Page: https://permetrics.readthedocs.io/en/latest/
mae,Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
User: tonylianlong
Home Page: https://crossmae.github.io/
mae,Official code for CVPR2024 “VideoMAC: Video Masked Autoencoders Meet ConvNets”
User: video-mac
Home Page: https://arxiv.org/abs/2402.19082
mae,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"
Organization: vitae-transformer
mae,solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
User: vturrisi
mae,[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Organization: westlake-ai
Home Page: https://arxiv.org/abs/2205.13943
mae,PyTorch-Based Evaluation Tool for Co-Saliency Detection
User: zzhanghub
Home Page: http://zhaozhang.net/coca.html
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