In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represent the inferred \textbf{latent data distribution}, i.e. its topology and structural properties. We propose LaDDer to achieve accurate modelling of the latent data distribution in a variational autoencoder frame…
☆41Mar 26, 2021Updated 5 years ago
Alternatives and similar repositories for ladder-latent-data-distribution-modelling
Users that are interested in ladder-latent-data-distribution-modelling are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17Jun 30, 2020Updated 6 years ago
- ☆20Jun 16, 2020Updated 6 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Jul 18, 2020Updated 6 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆67Jul 11, 2020Updated 6 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆15Mar 24, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆23Mar 6, 2021Updated 5 years ago
- Prior Generating Networks for Anomaly Detection☆14Nov 6, 2020Updated 5 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆22Nov 2, 2020Updated 5 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 6 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆18May 27, 2019Updated 7 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Dec 10, 2021Updated 4 years ago
- Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.☆24Nov 2, 2022Updated 3 years ago
- ☆10Jun 3, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Prescribed Generative Adversarial Networks☆142Aug 3, 2020Updated 6 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Apr 21, 2024Updated 2 years ago
- Seismic inversion☆21Jul 24, 2021Updated 5 years ago
- ☆28Mar 21, 2024Updated 2 years ago
- Recursive Partitioning for Structural Equation Models☆21Mar 26, 2026Updated 4 months ago
- CEVAE with VampPrior☆11Jul 18, 2018Updated 8 years ago
- Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770☆14Nov 26, 2018Updated 7 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Apr 10, 2019Updated 7 years ago
- Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition☆12Jul 16, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆27May 20, 2026Updated 2 months ago
- ☆42Jun 16, 2020Updated 6 years ago
- ☆12Dec 20, 2019Updated 6 years ago
- PyTorch Implementation for the paper "Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation" accepted to RA-L'24.☆12Nov 27, 2024Updated last year
- An easy way to start a python programming environment using GitHub Codespaces.☆15Sep 9, 2020Updated 5 years ago
- Code and Dataset for Memeify: A Large-scale Meme Generation System☆25May 21, 2020Updated 6 years ago
- ☆23Oct 27, 2019Updated 6 years ago
- Enhanced protein mutational sampling using time-lagged variational autoencoders☆30Sep 17, 2018Updated 7 years ago
- Attacks against proposed image encryption schemes☆10Apr 27, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Learning perturbation sets for robust machine learning☆66Aug 23, 2021Updated 4 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Sep 11, 2019Updated 6 years ago
- This repository contains codes and examples implementing the variational sparse coding model☆16Jul 28, 2019Updated 7 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆17Oct 11, 2021Updated 4 years ago
- Implementation of "Structured Multi-Hashing for Model Compression" (CVPR 2020)☆12Feb 18, 2021Updated 5 years ago
- BenchBench is a Python package to evaluate multi-task benchmarks.☆23Oct 12, 2025Updated 10 months ago
- ☆17Feb 21, 2020Updated 6 years ago