Generative Flow Networks - GFlowNet
-
Updated
Nov 5, 2024 - Python
Generative Flow Networks - GFlowNet
Implementation of the Sliced Wasserstein Autoencoders
GANs, AEs, and VAEs for generating synthetic images
Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy
A little Science-Slam Project about Style-Transfer using Cycle-GANs.
An autoencoder is a neural network architecture designed for unsupervised learning, capable of learning efficient representations of input data by reconstructing it through a bottleneck layer.
Add a description, image, and links to the generativemodeling topic page so that developers can more easily learn about it.
To associate your repository with the generativemodeling topic, visit your repo's landing page and select "manage topics."