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3d-deconvolutiongan

deconvolution on 2D and 3D images

3dunetcnn

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

adversarial-semisupervised-semantic-segmentation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

allhtmls

autoencoder

Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder

autoencoders_arcene

Modeling High-Dimensional Classification Problems Using Deep Learning

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

basenji

Sequential regulatory activity predictions with deep convolutional neural networks.

bimef

Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)

blind-image-deconvolution-using-deep-generative-priors

Paper implemention of paper "Blind Image Deconvolution using Deep Generative Priors"

brcn

A unofficial implementation of paper method that 'Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution'

brs-interactive_segmentation

Won-Dong Jang and Chang-Su Kim, "Interactive Image Segmentation via Backpropagating Refinement Scheme," CVPR 2019

ccesr

Matlab code for 'Canonical Correlation Embeddings with Patch Clustering for Face Hallucination'

ccsf

Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data (Cell Patterns, 2023)

ceal-medical-image-segmentation

Active Deep Learning for Medical Imaging Segmentation

cell2location

cell2location: High-throughput spatial mapping of cell types

chexnet

Implementation of the CheXNet network (PyTorch)

contrastive

Contrastive PCA

countseg

Object counting and instance segmentation with image-level supervision, in CVPR 2019

crnn_tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

davanet

Code repo for "DAVANet: Stereo Deblurring with View Aggregation" (CVPR'19, Oral)

dca

Deep count autoencoder for denoising scRNA-seq data

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deblur-gan

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

deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

deconvolution

deepclustering

Auto-encoder Based Data Clustering Toolkit

deepkoopman

neural networks to learn Koopman eigenfunctions