This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and training the mentioned models on celeb_a.
☆12Feb 15, 2021Updated 5 years ago
Alternatives and similar repositories for Overview-of-Variational-Autoencoder-based-Generative-Models
Users that are interested in Overview-of-Variational-Autoencoder-based-Generative-Models are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆26Mar 30, 2021Updated 5 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆30Nov 26, 2022Updated 3 years ago
- An official code of TAEML (Task-Adaptive Ensemble of Meta-Learners)☆13Jul 30, 2019Updated 7 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Dec 9, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆14Feb 15, 2022Updated 4 years ago
- ☆22Dec 3, 2021Updated 4 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Oct 28, 2020Updated 5 years ago
- ☆47Jan 11, 2021Updated 5 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆30Sep 25, 2021Updated 5 years ago
- ICML 2026: Information-geometric adaptive sampling for graph diffusion☆18May 4, 2026Updated 5 months ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Dec 15, 2017Updated 8 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- Introduction to PyTorch Workshop at the AMLD 2019☆31Jun 10, 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.
- ☆28Jan 31, 2022Updated 4 years ago
- ☆32Feb 11, 2021Updated 5 years ago
- Very deep VAEs in JAX/Flax☆47Jun 16, 2021Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Jun 21, 2022Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Apr 1, 2022Updated 4 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆57Jan 5, 2023Updated 3 years ago
- The Differentiable Cross-Entropy Method☆124Aug 14, 2020Updated 6 years ago
- ☆182Jul 5, 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.
- Convex potential flows☆87Nov 19, 2021Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆116Oct 4, 2021Updated 5 years ago
- ☆50Oct 22, 2020Updated 5 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Nov 6, 2019Updated 6 years ago
- Lipschitz Recurrent Neural Networks☆29Jun 28, 2021Updated 5 years ago
- Statistical adaptive stochastic optimization methods☆33Mar 28, 2020Updated 6 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆43Oct 26, 2020Updated 5 years ago
- ☆13May 16, 2019Updated 7 years ago
- ☆13Jan 1, 2018Updated 8 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.
- ☆13Feb 17, 2018Updated 8 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Aug 4, 2023Updated 3 years ago
- Geometric Certifications of Neural Nets☆42Nov 22, 2022Updated 3 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆208Jul 25, 2024Updated 2 years ago
- pyhessian is a TensorFlow module which can be used to estimate Hessian matrices☆25Mar 26, 2021Updated 5 years ago
- The codes and data of paper "cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction"☆10Aug 28, 2020Updated 6 years ago
- Recent few-shot meta-learning papers☆85Jun 15, 2018Updated 8 years ago