Stars
A collection of AWESOME things about domain adaptation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
A benchmark for Chinese ClinicalLanguage Understanding Evalution（CCLUE）
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
PyTorch implementations of Generative Adversarial Networks.
rocketmq c++ 客户端 Windows修改版 支持vs2019构建
This is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.
Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
PyTorch Tutorial for Deep Learning Researchers
Awesome-pytorch-list 翻译工作进行中......
基于历史收益率和夏普率的基金排序
Simple Tensorflow implementation of "Diverse Image-to-Image Translation via Disentangled Representations" (ECCV 2018 Oral)
Learning diverse image-to-image translation from unpaired data
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Keras implementation of CycleGAN using a tensorflow backend.
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Variational AutoEncoder + ResNet Transfer Learning
This is a pytorch implementation of Deep-INFOMAX.
Public repo for Augmented Multiscale Deep InfoMax representation learning
Learning deep representations by mutual information estimation and maximization
extract features by maximizing mutual information