catalys1 / mae-pytorchLinks
Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.
☆44Updated last year
Alternatives and similar repositories for mae-pytorch
Users that are interested in mae-pytorch are comparing it to the libraries listed below
Sorting:
- Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆36Updated 2 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆79Updated 3 years ago
- A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners☆84Updated 3 years ago
- ☆24Updated 4 years ago
- ☆32Updated last year
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆81Updated last year
- Visualizing representations with diffusion based conditional generative model.☆103Updated 2 years ago
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆102Updated 3 years ago
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆166Updated 2 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆30Updated 2 years ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 3 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆150Updated 4 years ago
- Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs…☆183Updated 6 months ago
- Official codes: Self-Supervised Learning by Estimating Twin Class Distribution☆100Updated 4 years ago
- open source the research work for published on arxiv. https://arxiv.org/abs/2106.02689☆53Updated 3 years ago
- A Contrastive Learning Boost from Intermediate Pre-Trained Representations☆43Updated last year
- ☆67Updated 2 years ago
- Denoising Masked Autoencoders Help Robust Classification.☆67Updated 2 years ago
- PyTorch implementation of Semi-supervised Vision Transformers☆61Updated 2 years ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆117Updated 2 years ago
- ☆59Updated 3 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆42Updated 2 years ago
- [NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".☆144Updated 11 months ago
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆41Updated 2 years ago
- ☆19Updated 2 years ago
- PyTorch implementation of FFN : "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains (NeurIPS2020)"☆30Updated 3 years ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆79Updated 3 years ago
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆51Updated last year
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆24Updated 2 years ago
- ModelSoups for Tensorflow2 and Torch☆50Updated 3 years ago