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

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

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.

Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset

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

Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.

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

paddle cifar100 training

Selective Classification For Deep Neural Networks.

Convolutional Neural Networks using Tensorflow with Cifar-100 dataset