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100-numpy-exercises

100_numpy_exercises

100 numpy exercises

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3d-unet-pytorch

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.

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

add

Python implementation of ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images, AAAI2022.

additive-margin-softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

amtml-kd-code

AMTML-KD: Adaptive Multi-teacher Multi-level Knowledge Distillation

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

arcface-pytorch

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

awesome-face-recognition

this repo include paper review, code in face recognition

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-vlp-and-efficient-transformer

Vision-Language Pretraining & Efficient Transformer Papers.

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

brats

Brain Tumor Segmentation using Our Private Dataset

brats-segmentation

Multi-modal Brain Tumor Segmentation on the MICCAI-BraTS Datasets.

brats2018-tumor-segmentation

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.

brats_segmentation-pytorch

3d unet + vae, repoduce brats2018 winner solution

c3d-pytorch

pytorch版本的3D-CNN

caffe

Caffe: a fast open framework for deep learning.

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

cca_zoo

Canonical Correlation Analysis Zoo: CCA, GCCA, MCCA, DCCA, DGCCA, DVCCA, DCCAE, KCCA and regularised variants

cca_zoo-1

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.pytorch

center loss for face recognition

chalearn_liveness_challenge

ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019

chinese_text_cnn

TextCNN Pytorch实现 中文文本分类 情感分析

classification-and-naive-bais

A sheet that compares the performance of all 4 classification results based on Sensitivity, Specificity, Precision and Accuracy on separate training and testing data