randaugment

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

A treasure chest for visual classification and recognition powered by PaddlePaddle

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

face recognition training project(pytorch)

Optimize RandAugment with differentiable operations

Applying RandAugment on PointNet++

[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.

Unofficial PyTorch Reimplementation of UniformAugment.

A simple template for classifying things

Collection of deep learning modules

SSL Methods integrated into the official implementation of the ECCV"22 Paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"

This project includes multiple models, loss functions, optimizers and image augmentations for image classification task

Learn an image-augmentation policy with RL (group-relative policy gradient — the GRPO trick) and honestly prove whether it beats RandAugment/TrivialAugment. Agent-drivable --json CLI; verifiable reward = held-out accuracy. RL × computer-vision.

MobileNetV3 implementation using PyTorch