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1dcnn

一维卷积神经网络

3d-unet-pytorch

implementation of 3DUNet by PyTorch 1.0

3d-unet-pytorch-implementation

The implementation of 3D-UNet using PyTorch

airtoolsii

The AIR Tools II toolbox for MATLAB accompanies the publication "AIR Tools II: algebraic iterative reconstruction methods, improved implementation", Hansen, P. C. & Jørgensen, J. S. Numer Algor (2017).

biometric-face-recognition-using-autoencoders

Neural network algorithm is used to extract features from face images. And stacked network is created using auto encoders and softmax layer is used for classification.

bipnet

[CVPR 2022--Oral, Best paper Finalist] Burst Image Restoration and Enhancement. SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising

brain-tumor-segmentation

Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

cmrxrecon

Code for the Cardiac MRI Reconstruction Challenge (CMRxRecon)

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cnn_lenet-5_onedimension

about how to use CNN with one dimensional signal

cogdl

CogDL: An Extensive Toolkit for Deep Learning on Graphs

complex-networks-release

Implementation related to the paper "Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focused applications" by Elizabeth K. Cole et. al; Toolbox for complex-valued convolution and activation functions using an unrolled architecture.

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

conresnet

[IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation

datashine

《Python统计与数据分析实战》课程代码，包含了大部分统计与非参数统计和数据分析的模型、算法。回归分析、方差分析、点估计、假设检验、主成分分析、因子分析、聚类分析、判别分析、对数线性模型、分位回归模型以及列联表分析、非参数平滑、非参数密度估计等各种非参数统计方法。

deblur-gan

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

deblurgan-pytorch

An easy-to-read implementation of DeblurGAN

deep-complex-convolutional-network

Complex Convolutional Neural Network (UNet) for Magnetic Reasonance Imaging (MRI) reconstruction

deep_complex_networks

Implementation related to the Deep Complex Networks

deeplearningai

The DeepLearning AI Courses of Andrew Ng

demo_fullyconnected_neuralnetwork

Fully Connected Modularized Neural Network, can be easily extended to be Deep Network with little extension code

diffpool

diffusiondet

[ICCV2023 Oral] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

encoding-decoding-3d-crystals

"Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures", Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel Sellier, Yoshua Bengio

fully-connected-nn

Fully Connected Neural Network

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn-diffpool

this is a implementation of gcn model with DIFFPOOL layer in tensorflow