OpenMMLab Pre-training Toolbox and Benchmark. Contribute to open-mmlab/mmpretrain development by creating an account on GitHub.

A collection of computer vision pre-trained models. - balavenkatesh3322/CV-pretrained-model

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch - lucidrains/vit-pytorch

Implementation of Bottleneck Transformer in Pytorch - lucidrains/bottleneck-transformer-pytorch

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/ - vballoli/nfnets-pytorch

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch - lucidrains/transformer-in-transformer

Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision - rishikksh20/MLP-Mixer-pytorch

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral) - sail-sg/poolformer

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. - cvat-ai/cvat

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l...