Play deep learning with CIFAR datasets

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Implementing Searching for MobileNetV3 paper using Pytorch

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Convert CIFAR-10 and CIFAR-100 datasets into PNG images

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Multi-task learning for image classification implemented in PyTorch.

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning

An implementation of MobileNetV3 with pyTorch

paddle cifar100 training

Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples

Official code for "PubDef: Defending Against Transfer Attacks From Public Models" (ICLR 2024)

Residual Network Experiments with CIFAR Datasets.

VGG models from ILSVRC 2014

A PyTorch framework for federated learning. This is a very basic framework.

This repository provides experiment results for MobileNetV2 based on PyTorch.