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generativemodeling

Here are 5 public repositories matching this topic...

alexhernandezgarcia / gflownet

Generative Flow Networks - GFlowNet

python opensource pytorch generativemodeling aiforsocialgood gflownet aiforscience

Updated Aug 29, 2026
Python

skolouri / swae

Implementation of the Sliced Wasserstein Autoencoders

deep-neural-networks autoencoders optimal-transport generativemodeling

Updated Jun 6, 2018
Jupyter Notebook

mijanr / Synthesis-Studio

GANs, AEs, and VAEs for generating synthetic images

generative-adversarial-network gans autoencoders variational-autoencoders generativemodeling

Updated Apr 9, 2024
Python

abhilash1910 / DeepGenerator

Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy

nlp numpy optimizer rnn seq2seq-model adagrad vanilla-rnn transduction generativemodeling

Updated Aug 24, 2020
Jupyter Notebook

prnvpwr2612 / Designing-AutoEncoders-for-KMNIST

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.

deep-learning neural-network artificial-neural-networks unsupervised-learning generativemodeling

Updated Mar 13, 2024
Jupyter Notebook

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