Sandbox for training deep learning networks

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

PyTorch implementation of CNNs for CIFAR benchmark

Unofficial PyTorch Reimplementation of RandAugment.

Reproduces ResNet-V3 with pytorch

Implementation of the mixup training method

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

TensorFlow implementation of GoogLeNet and Inception for image classification.

Open Set Recognition

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"

✨基于卷积神经网络(CNN)和CIFAR10数据集的图像智能分类 Web 应用 Intelligent Image Classification Web Applcation based on Convolutional Neural Networks and the CIFAR10 Dataset✨🚩 (with README in English) 📌含在线demo：图像分类可视化界面，快速部署深度学习模型为网页应用，Web预测系统，决策支持系统(DSS)，图像分类前端网页，图像分类Demo展示-Pywebio。AI人工智能图像分类-Pytorch。CIFAR10数据集，小模型。100%纯Python代码，轻量化，易复现

[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.

Python toolkit for speech processing

The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"

🎯 Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments

Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).