PyTorch re-implementation of "Generating Sentences from a Continuous Space" by Bowman et al. (2015), using BART encoder and GRU decoder with beam search.

Implementation of Poisson Identifiable VAE (pi-VAE) in Pytorch

Implementation of Poisson Identifiable VAE (pi-VAE) in Pytorch

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

List of molecular design using Generative AI and Deep Learning

Python toolkit for speech processing

Generative modeling of synthetic time series data and time series augmentations

Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets

PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models

Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs

Implementation of a variational autoencoder (VAE) for climate data modeling and prediction.

List of protein (enzymes and PPIs) conformations and molecular dynamics using generative artificial intelligence and deep learning

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

A Collection of Variational Autoencoders (VAE) in PyTorch.

repo for practicing DL/genAI

Denoising Diffusion Medical Model (DDMM) on PyTorch for generating datasets of Acute Lymphoblastic Leukemia 🩺💜

NeuroBender, where the mystical powers of KAN network meet the robust stability of autoencoders!

Hands-on machine learning projects covering various techniques and algorithms. Each project provides practical examples and exercises.