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100 numpy exercises
3D ResNets for Action Recognition (CVPR 2018)
An implementation of 3D U-Net CNN models for the task of voxel-wise semantic segmentation of 3D MR images for isolation of Low-Grade and High Grade Gliomas, the common types of brain tumour.
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Python implementation of ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images, AAAI2022.
This is the implementation of paper <Additive Margin Softmax for Face Verification>
AMTML-KD: Adaptive Multi-teacher Multi-level Knowledge Distillation
A Flexible and Powerful Parameter Server for large-scale machine learning
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
this repo include paper review, code in face recognition
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Vision-Language Pretraining & Efficient Transformer Papers.
PyTorch implementation of bilinear CNN for fine-grained image recognition
Brain Tumor Segmentation using Our Private Dataset
Multi-modal Brain Tumor Segmentation on the MICCAI-BraTS Datasets.
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.
3d unet + vae, repoduce brats2018 winner solution
pytorch版本的3D-CNN
Caffe: a fast open framework for deep learning.
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Canonical Correlation Analysis Zoo: CCA, GCCA, MCCA, DCCA, DGCCA, DVCCA, DCCAE, KCCA and regularised variants
Canonical Correlation Analysis Model Zoo: Standard: CCA, GCCA, MCCA, TCCA, KCCA, TKCCA, sparse CCA , ridge CCA and elastic CCA, PMD, PLS. Deep: DCCA, DMCCA, DGCCA, DTCCA. DVCCA, DCCAE, SplitAE. Probabilistic: VBCCCA. With simulated data generation and toy datasets.
center loss for face recognition
ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019
TextCNN Pytorch实现 中文文本分类 情感分析
A sheet that compares the performance of all 4 classification results based on Sensitivity, Specificity, Precision and Accuracy on separate training and testing data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.