hongyi-zhang / Mixup
Licence: bsd-3-clause
Implementation of the mixup training method
Stars: ✭ 377
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Mixup
What I Have Read
Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
Stars: ✭ 110 (-70.82%)
Mutual labels: data-augmentation, gan
Sdv
Synthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-4.51%)
Mutual labels: gan
Dcpdn
Densely Connected Pyramid Dehazing Network (CVPR'2018)
Stars: ✭ 321 (-14.85%)
Mutual labels: gan
T81 558 deep learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Stars: ✭ 4,152 (+1001.33%)
Mutual labels: gan
Seq2seq Chatbot For Keras
This repository contains a new generative model of chatbot based on seq2seq modeling.
Stars: ✭ 322 (-14.59%)
Mutual labels: gan
Gp Gan
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
Stars: ✭ 317 (-15.92%)
Mutual labels: gan
Anycost Gan
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (-2.65%)
Mutual labels: gan
Advanced Tensorflow
Little More Advanced TensorFlow Implementations
Stars: ✭ 364 (-3.45%)
Mutual labels: gan
Deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
Stars: ✭ 344 (-8.75%)
Mutual labels: data-augmentation
Basicocr
BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
Stars: ✭ 336 (-10.88%)
Mutual labels: gan
Image augmentor
Data augmentation tool for images
Stars: ✭ 326 (-13.53%)
Mutual labels: data-augmentation
Time Series Prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Stars: ✭ 351 (-6.9%)
Mutual labels: gan
Psgan
PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
Stars: ✭ 318 (-15.65%)
Mutual labels: gan
Pytorch Mnist Celeba Gan Dcgan
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Stars: ✭ 363 (-3.71%)
Mutual labels: gan
Few Shot Patch Based Training
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-16.98%)
Mutual labels: gan
Gan Playground
GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.
Stars: ✭ 336 (-10.88%)
Mutual labels: gan
Amazon Forest Computer Vision
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Stars: ✭ 346 (-8.22%)
Mutual labels: data-augmentation
Msgan
MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
Stars: ✭ 366 (-2.92%)
Mutual labels: gan
This repo contains demo reimplementations of the CIFAR-10 training code and the GAN experiment in PyTorch based on the following paper:
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin and David Lopez-Paz. mixup: Beyond Empirical Risk Minimization. https://arxiv.org/abs/1710.09412
CIFAR-10
The following table shows the median test errors of the last 10 epochs in a 200-epoch training session. (Please refer to Section 3.2 in the paper for details.)
| Model | weight decay = 1e-4 | weight decay = 5e-4 |
|---|---|---|
| ERM | 5.53% | 5.18% |
| mixup | 4.24% | 4.68% |
Generative Adversarial Networks (GAN)
Other implementations
- A Tensorflow implementation of mixup which reproduces our results in tensorpack
- Official Facebook implementation of the CIFAR-10 experiments
Acknowledgement
The CIFAR-10 reimplementation of mixup is adapted from the pytorch-cifar repository by kuangliu.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].