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.

Fine-Tuning of BEiT for Alzheimers Disease Classification

pal.ai is a progressive web app that uses images of rice leaves to identify rice leaf diseases.

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

self-supervised learning

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

Retrieve Steam games with similar store banners, with Microsoft's Bidirectional Encoder representation from Image Transformers (BEiT).

This repository holds the downstream task of Face Mask Classification performed on Self Currated Custom Dataset with various State of the Art deep learning models like ViT, BeIT, DeIT, LeViT, ConvNeXt, VGG16, EfficientNetV2, RegNet and MobileNetV3.

Predict category of product by it's description, image and other attributes

A detailed comparsion of Recent Vision Transformers on ImageNet1k

image classification with fine tuning the BEiT vision transformer on CIFAR 10 dataset

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

BE IT Final Year Machine Learning Project

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

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

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

OpenMMLab Pre-training Toolbox and Benchmark

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