#计算机科学#Play deep learning with CIFAR datasets
#计算机科学#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
#计算机科学#Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
#计算机科学#Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
#计算机科学#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)
Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset
#自然语言处理#[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning
#计算机科学#sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
An implementation of MobileNetV3 with pyTorch
#计算机科学#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