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arser

Periodicity detection algorithm for evenly spaced circadian gene expression data

auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

beta-tcvae

Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).

clear-diffusion-keras

Implementation of denoising diffusion models with schedules, improved sampling, and other extensions using Keras.

conditional_diffusion_mnist

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

conditional_vae

conditional variational autoencoder written in Keras [not actively maintained]

deep_cox_mixtures

Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021

deeplearningclass

For class materials

diffusiontf

disentangling-vae-torch

Experiments for understanding disentanglement in VAE latent representations

dwt-hpi

An interpretable deep learning model based on discrete wavelet transforms to predict intraoperative hypotension (Published in IEEE TNNLS).

featureextraction_biologicalsequences

Feature Extraction Approaches for Biological Sequences: A Comparative Study of Mathematical Models

fft-bis

FFT-based BIS prediction model (Published in Artificial Intelligence in Medicine).

fourierdecoder

Official repository for Fourier model that can generate periodic signals

gans_for_synthetic_time_series

Code for Machine Learning for Algorithmic Trading, 2nd edition.

gcsp-hbda

gene-expression-datasets

Collection of gene expression datasets

gp-vae

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

machine-learning-and-simulation

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

mindqn

A Minimal Deep Q-Network

neuralsurvivalclustering

Implementation for the paper Neural Survival Clustering: Non parametric mixture of neural networks for survival clustering

predictingcircadiantime

pythonclass

Python Class Repository for National Cancer Center GCSP

rcgan

Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image generation

surprogenes

Patient dichotomization according to survival risk based on collaborative filtering (Accepted in ICML 2023).

timegan

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

timevae

TimeVAE implementation in keras/tensorflow

tts-cgan

TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation

vabam

vade-pytorch

This repository tries to provide unsupervised deep learning models with Pytorch