Showing 1-10 of 10 projects
A collection of Variational Autoencoders (VAEs) implemented in PyTorch for deep learning research and applications.
Collection of popular generative models in TensorFlow for developers interested in AI tools
A benchmark for evaluating different implementations of Variational Autoencoders (VAEs) in PyTorch.
This repository provides Jupyter notebooks for learning about Bayesian methods for machine learning.
A PyTorch implementation of various continual learning methods for AI/ML developers.
A Python library for deep probabilistic analysis of single-cell and spatial omics data.
Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.
This Python repository contains code examples for machine learning, NLP, and deep learning using Keras and Theano
Variational autoencoder implementation in TensorFlow and PyTorch, including inverse autoregressive flow.
A next-generation recommendation system library for building AI-powered content discovery platforms.
Get weekly updates on trending AI coding tools and projects.