PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

[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"

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

EVA Series: Visual Representation Fantasies from BAAI

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

[ICLR'23] Effective Self-supervised Pre-training on Low-compute networks without Distillation

MLCD & UNICOM : Large-Scale Visual Representation Model

A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.

Reproduce results of "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch" paper.