hubertrybka / vae-annealingLinks
A simple pytorch implementation for calculating VAE loss components and annealing KLD loss while training VAEs, especially RNN-based
☆20Updated last year
Alternatives and similar repositories for vae-annealing
Users that are interested in vae-annealing are comparing it to the libraries listed below
Sorting:
- Open-source framework for uncertainty and deep learning models in PyTorch☆476Updated this week
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆215Updated last week
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆508Updated 4 years ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,982Updated last year
- Awesome Domain Adaptation Python Toolbox☆363Updated 2 months ago
- torchview: visualize pytorch models☆1,028Updated 8 months ago
- PyTorch Implementations of a VAE and a beta-VAE.☆60Updated 5 years ago
- A simple tutorial of Variational AutoEncoders with Pytorch☆432Updated last year
- 👋 Xplique is a Neural Networks Explainability Toolbox☆732Updated this week
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆639Updated 3 weeks ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆499Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated last week
- Lightweight, useful implementation of conformal prediction on real data.☆1,012Updated 2 months ago
- PyTorch implementation of bayesian neural network [torchbnn]☆553Updated last year
- ☆29Updated last year
- A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare☆477Updated this week
- VICReg official code base☆553Updated 2 years ago
- Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.☆281Updated last week
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆727Updated 2 weeks ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆372Updated 3 weeks ago
- Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning)…☆299Updated this week
- Domain adaptation made easy. Fully featured, modular, and customizable.☆392Updated 3 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆140Updated 3 weeks ago
- Generalized Kraskov Estimator for Normalized Mutual Information☆22Updated last month
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆22Updated 2 years ago
- This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning mo…☆783Updated 2 months ago
- Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"☆434Updated last year
- 👽 Out-of-Distribution Detection with PyTorch☆334Updated 3 weeks ago
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆155Updated 3 weeks ago
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆150Updated last year