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

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

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.

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

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

Open Set Recognition

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"

[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.

Training Low-bits DNNs with Stochastic Quantization

✨基もと于卷积神经网络(CNN)和かずCIFAR10数すう据すえ集しゅう的てき图像智能ちのう分ぶん类 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：图像分ぶん类可视化界面かいめん，快速かいそく部署ぶしょ深度しんど学がく习模型がた为网页应用よう，Web预测系けい统，决策支持しじ系けい统(DSS)，图像分ぶん类前端はし网页，图像分ぶん类Demo展示てんじ-Pywebio。AI人工じんこう智能ちのう图像分ぶん类-Pytorch。CIFAR10数すう据すえ集しゅう，小しょう模型もけい。100%纯Python代だい码，轻量化か，易えき复现