Generative Flow Networks - GFlowNet
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Updated
Aug 26, 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.
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