Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1908.11853
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Updated
Oct 18, 2021 - Python
Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1908.11853
Rannnnnnnnndoooooooommmmm Code
A Tensorflow implementation of a Variational Autoencoder
Some code towards anomaly detection
Lecture notes for Probabilistic Graphical Models for Image Analysis, ETH Zurich fall 2018
Simple Implementation of Denoise autoencoders
Implementation of a Basic Variational Auto-Encoder
RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design
An Exploration of Machine Learning Methods on SVHN Dataset
Final project for Bayesian Theory and Computation (2021 spring) @ PKU.
A sparse collection of Machine Learning materials: code, examples, scripts, notebooks etc.
Scripts to reproduce results from Bérubé, C.L., & Baron, F. (2022). Bayesian inference of petrophysical properties with generative spectral induced polarization models.
Deep generative models for controlled text generation.
unsupervised semantic segmentation for self driving cars with variational autoencoders, genetic algorithms and bayesian methods
Implementing Variational Autoencoder and explored the importance of each part of its loss function.
Handwritten Digit Generation with VAE and GAN are applied.
Demo Page for "Generative Models for Improved Naturalness, Intelligibility, and Voicing of Whispered Speech" (SLT22)
Implementation of generative models for the design of small molecules
Pytorch Implementation of the World Models paper from 2018.
Implementation of a Denoising Diffusion Probabilistic Model with some mathematical background.
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