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ddbourgin /numpy-ml

Machine learning, in numpy

machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing

UpdatedOct 29, 2023
Python

wiseodd /generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

machine-learning tensorflow pytorch gan generative-model vae restricted-boltzmann-machine rbm

UpdatedMar 24, 2024
Python

AntixK /PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

deep-learning reproducible-research architecture pytorch vae beta-vae paper-implementations gumbel-softmax celeba-dataset wae variational-autoencoders pytorch-implementation dfc-vae iwae vqvae vae-implementation pytorch-vae

UpdatedJun 13, 2024
Python

hwalsuklee /tensorflow-generative-model-collections

Collection of generative models in Tensorflow

tensorflow gan mnist infogan generative-model vae ebgan generative-adversarial-networks wgan cvae lsgan variational-autoencoder began cgan wgan-gp generative-models dragan acgan fashion-mnist improved-wgan

UpdatedAug 8, 2022
Python

clementchadebec /benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

benchmarking reproducible-research pytorch comparison vae pixel-cnn reproducibility beta-vae vae-gan normalizing-flows variational-autoencoder vq-vae wasserstein-autoencoder vae-implementation vae-pytorch

UpdatedJul 31, 2024
Python

PacktPublishing /Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

reinforcement-learning deep-learning keras gan autoencoder vae

UpdatedApr 12, 2023
Python

amirhossein-kz /Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

machine-learning deep-learning medical-imaging vae generation segmentation reconstruction sde diffusion denoising generative-models diffusion-models score-matching ddpm score-based ncsn

UpdatedJan 4, 2025

jaanli /variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks

UpdatedApr 24, 2024
Python

ritheshkumar95 /pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

deep-learning pytorch vae generative-models vq-vae

UpdatedJul 12, 2023
Python

nghorbani /human_body_prior

VPoser: Variational Human Pose Prior

motion human vae pose-estimation pose prior

UpdatedOct 25, 2022
Jupyter Notebook

YannDubs /disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

deep-learning reproducible-research pytorch mnist chairs-dataset vae representation-learning unsupervised-learning beta-vae celeba variational-autoencoder disentanglement dsprites fashion-mnist disentangled-representations factor-vae beta-tcvae

UpdatedFeb 2, 2023
Python

matthewvowels1 /Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

deep-learning generative-model vae awesome-list representation-learning unsupervised-learning variational-inference variational-autoencoder variational-bayes disentanglement variational-auto-encoder disentangled-representations

UpdatedJul 11, 2021

AspirinCode /papers-for-molecular-design-using-DL

List of Molecular and Material design using Generative AI and Deep Learning

reinforcement-learning material-design transformer lstm gan rnn vae drug-design diffusion molecular-design energy-based-model gnns deep-generative-models score-based-generative-models prompt-learning generative-ai

UpdatedMar 12, 2025

msurtsukov /neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

jupyter-notebook pytorch vae neural-ode

UpdatedFeb 27, 2024
Jupyter Notebook

timbmg /VAE-CVAE-MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

deep-learning pytorch mnist vae latent-variable-models cvae variational-autoencoder

UpdatedJan 14, 2025
Python

ikostrikov /TensorFlow-VAE-GAN-DRAW

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

tensorflow draw recurrent-neural-networks gan vae

UpdatedApr 18, 2017
Python

timbmg /Sentence-VAE

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015https://arxiv.org/abs/1511.06349

nlp deep-learning neural-network pytorch generative-model vae ptb

UpdatedJan 14, 2025
Python

zalandoresearch /pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

deep-learning pytorch vae vq-vae

UpdatedNov 13, 2019
Jupyter Notebook

AmazingDD /daisyRec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

afm slim pytorch collaborative-filtering matrix-factorization vae recommender-system factorization-machines ease k-nearest-neighbors item2vec deepfm neural-collaborative-filtering neumf cdae nfm svdpp biasmf

UpdatedAug 8, 2024
Python

1Konny /Beta-VAE

Pytorch implementation of β-VAE

chairs-dataset vae unsupervised-learning beta-vae celeba dsprites disentangled-representations

UpdatedDec 29, 2020
Python

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