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activa

The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders

algorithms

Books on Algorothms

algorithms-and-ds

Algorithms and Data Structures

algorithmsoneproblems

Homeworks from Algorithms 1

arshamg-scrnaseq-wgan

Wasserstein Generative Adversarial Network for analysing scRNAseq data

autocell

autoencoder_for_cancer_subtype

autoencoder_imputation

An Autoencoder-Based Deep Learning Method for Genotype Imputation

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

awesome-generative-ai

A curated list of Generative AI tools, works, models, and references

bladder-cancer-subtyping-machine_learning

IHC based classifier to predict major subtype of bladder cancer:

books

breast-cancer-sub-types

A novel self-supervised feature extraction method using omics data is proposed which improves classification in most of the classifiers.

cancer-subtypes

Code and result of Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data

cancertypeprediction

This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".

capsgnn

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

capsnet

A pytorch implementation of Capsule Network.

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

capsnet22

A PyTorch implementation of CapsNet based on NIPS 2017 paper "Dynamic Routing Between Capsules"

capsnetmmd

The data and code of CapsNetMMD.

capsule-network

PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton

capsule-network-implement

A TensorFlow implementation of Capsule Network as described in the paper Dynamic Routing Between Capsules

capsule-network-tutorial

Pytorch easy-to-follow Capsule Network tutorial

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

capsule_network_dynamic_routing

Pytorch implementation of Capsule Network with Dynamic Routing

citeseq_autoencoder

Integrative analysis of single-cell multi-omics data using deep learning

coala

Multi-view data integration using approximate graph Laplacians

competitive-programming

:pushpin: :books: Solution of competitive programming problems, code templates, Data Structures and Algorithms, hackathons, interviews and much more.