leehomyc / mixup_pytorch
A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch
☆123Updated 7 years ago
Alternatives and similar repositories for mixup_pytorch:
Users that are interested in mixup_pytorch are comparing it to the libraries listed below
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 7 years ago
- SGDR with pytorch on CIFAR-10 (now superseded by official PyTorch CosineAnnealingLR)☆47Updated 5 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- mixup: Beyond Empirical Risk Minimization☆99Updated 7 years ago
- Pytorch Imprementation of Dual Path Networks☆90Updated 7 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆135Updated 6 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.☆47Updated 7 years ago
- PyTorch Implementation of ReSeg (https://arxiv.org/pdf/1511.07053.pdf)☆46Updated 7 years ago
- Codes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint …☆78Updated 6 years ago
- Implementation of DropBlock in Pytorch☆81Updated 6 years ago
- This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)☆96Updated 7 years ago
- transfer learning written in mxnet☆55Updated 7 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆189Updated 7 years ago
- PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.☆211Updated 6 years ago
- The code of Switchable Normalization for object detection based on Detectron.pytorch.☆79Updated 6 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆173Updated 7 years ago
- ☆138Updated 8 years ago
- Code for Decorrelated Batch Normalization☆82Updated 6 years ago
- Group Normalization in PyTorch☆109Updated 6 years ago
- Small scale experiments with group normalization☆58Updated 7 years ago
- PyTorch implementation of Deformable Convolution Networks (Supports Pytorch 1.0)☆30Updated 6 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 7 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- Label Refinery: Improving ImageNet Classification through Label Progression☆278Updated 6 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 6 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).☆131Updated 7 years ago
- Code for https://arxiv.org/abs/1810.04622☆141Updated 5 years ago