This project includes multiple models, loss functions, optimizers and image augmentations for image classification task
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Updated
Apr 3, 2022 - Python
This project includes multiple models, loss functions, optimizers and image augmentations for image classification task
SSL Methods integrated into the official implementation of the ECCV"22 Paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"
MobileNetV3 implementation using PyTorch
Collection of deep learning modules
A simple template for classifying things
Unofficial PyTorch Reimplementation of UniformAugment.
[Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tricks towards state-of-the-art class classification.
Applying RandAugment on PointNet++
Optimize RandAugment with differentiable operations
face recognition training project(pytorch)
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
A treasure chest for visual classification and recognition powered by PaddlePaddle
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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