Pinned Repositories
3D-UNet-PyTorch-Implementation
The implementation of 3D-UNet using PyTorch
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
BAF-Net
Balanced-DataParallel
这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量
cost_sensitive_loss_classification
A straightforward mechanism to implement cost sensitive losses in pytorch
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Deep-Learning-with-PyTorch-Chinese
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
densenet-pytorch
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
HuiqinWu's Repositories
HuiqinWu/3D-UNet-PyTorch-Implementation
The implementation of 3D-UNet using PyTorch
HuiqinWu/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
HuiqinWu/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
HuiqinWu/BAF-Net
HuiqinWu/Balanced-DataParallel
这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量
HuiqinWu/cost_sensitive_loss_classification
A straightforward mechanism to implement cost sensitive losses in pytorch
HuiqinWu/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
HuiqinWu/Deep-Learning-with-PyTorch-Chinese
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
HuiqinWu/densenet-pytorch
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
HuiqinWu/dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
HuiqinWu/DoubleDIP
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"
HuiqinWu/Ensemble-Methods-for-Image-Classification
In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.
HuiqinWu/fe4ml-zh
:book: [译] 面向机器学习的特征工程
HuiqinWu/Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
HuiqinWu/LadderNet
HuiqinWu/pytorch-cifar10
pytorch and cifar10
HuiqinWu/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
HuiqinWu/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
HuiqinWu/PyTorchConv3D
I3D and 3D-ResNets in PyTorch
HuiqinWu/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
HuiqinWu/voxelmorph
Unsupervised Learning for Image Registration
HuiqinWu/Weights-Initializer-pytorch
A module for making weights initialization easier in pytorch.