Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

OpenMMLab Pre-training Toolbox and Benchmark

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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

PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI

BE IT Final Year Machine Learning Project

This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.

self-supervised learning

DepthLens: This is a demo for DPT Beit-Large-512 used to estimate the depth of objects in images.

Example application for training Microsofts's pretrained BEiT image transformer model on a new image classification task

This is a warehouse for Agent-Attention-Models based on pytorch framework, can be used to train your image datasets.

Simple Deep Learning model for training image classifiers using the BEiT method