PyTorch implementation of Variational Diffusion Models.
☆106Apr 23, 2024Updated 2 years ago
Alternatives and similar repositories for variational-diffusion-models
Users that are interested in variational-diffusion-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:
- Unofficial implementation of Variational Diffusion Models in PyTorch (Lightning)☆11Aug 31, 2023Updated 2 years ago
- ☆328Sep 20, 2022Updated 3 years ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆19Jan 27, 2026Updated 3 months ago
- ☆12Apr 19, 2024Updated 2 years ago
- Tools for visualizing spectrosopic light curves, with flux as a function of wavelength and time.☆17Apr 2, 2026Updated 3 weeks 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.
- Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data" (ICLR…☆82May 30, 2025Updated 11 months ago
- An operation trying to do the opposite of F.grid_sample☆20Aug 8, 2023Updated 2 years ago
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆13Jul 15, 2025Updated 9 months ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Jan 14, 2020Updated 6 years ago
- Official Implementation for (ICLR 2025) Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posteri…☆21Jan 31, 2025Updated last year
- PyTorch implementation for "Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes" (ICML 2024).☆13Jul 21, 2024Updated last year
- JAX implementation of the NequIP neural network interatomic potential☆17Feb 24, 2026Updated 2 months ago
- ☆15Feb 23, 2025Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A PyTorch reimplementation of Local Implicit Grid Representations for 3D Scenes☆17Jul 21, 2021Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Dec 8, 2022Updated 3 years ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆2,100Jul 14, 2024Updated last year
- Guide diffusion on ImageBind embedding similarity☆29May 27, 2023Updated 2 years ago
- ☆10Jan 20, 2025Updated last year
- ☆17Mar 9, 2021Updated 5 years ago
- Plotting pytorch tensors made easy!☆15Jan 28, 2021Updated 5 years ago
- ☆28Mar 5, 2024Updated 2 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆38Mar 24, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆19May 26, 2021Updated 4 years ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆19Jul 8, 2024Updated last year
- ☆20Mar 26, 2025Updated last year
- [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)☆725Feb 29, 2024Updated 2 years ago
- ☆23Jan 24, 2026Updated 3 months ago
- Towards training VQ-VAE models robustly!☆94Jul 14, 2025Updated 9 months ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Jan 18, 2022Updated 4 years ago
- A simple DIffusion LM approach.☆27May 22, 2023Updated 2 years ago
- Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.☆19Jun 11, 2023Updated 2 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.
- Variational Interpretable Concept Embeddings☆18Dec 12, 2023Updated 2 years ago
- ☆11May 6, 2024Updated last year
- Freddie Mac Single Loan Data Analysis & Machine Learning (Regression / Classification)☆12Jun 11, 2017Updated 8 years ago
- diffusionjax is a simple and accessible diffusion models package in JAX☆53Jan 19, 2025Updated last year
- Multiscale de-noising score matching☆20Feb 10, 2021Updated 5 years ago
- [TGRS 2024 ESI Highly Cited Paper (TOP 1%)] Sliding Dual-Window-Inspired Reconstruction Network for Hyperspectral Anomaly Detection☆13Feb 28, 2024Updated 2 years ago
- Implements PyTorch model which updates SPD weights on Riemannian Manifold. Based on Huang, Z., & Van Gool, L. (2016). A Riemannian Netwo…☆12Mar 8, 2019Updated 7 years ago