jmtomczak / intro_dgmLinks
"Deep Generative Modeling": Introductory Examples
☆1,197Updated 9 months ago
Alternatives and similar repositories for intro_dgm
Users that are interested in intro_dgm are comparing it to the libraries listed below
Sorting:
- Course notes☆699Updated last year
- Awesome resources on normalizing flows.☆1,541Updated this week
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆695Updated 2 years ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,923Updated 11 months ago
- PyTorch implementation of normalizing flow models☆855Updated 10 months ago
- ☆808Updated 3 months ago
- A simple tutorial of Variational AutoEncoders with Pytorch☆398Updated last year
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,689Updated 2 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆820Updated 4 years ago
- Normalizing flows in PyTorch☆929Updated 6 months ago
- TorchCFM: a Conditional Flow Matching library☆1,825Updated 4 months ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,950Updated 11 months ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆313Updated this week
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆912Updated last year
- Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics☆486Updated 8 years ago
- Probabilistic Machine Learning: Advanced Topics☆1,474Updated 2 months ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆731Updated last year
- Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023☆2,901Updated 3 months ago
- The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…☆741Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,506Updated last year
- Normalizing flows in PyTorch☆396Updated last month
- Easy generative modeling in PyTorch☆438Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆165Updated last year
- Self-contained, minimalistic implementation of diffusion models with Pytorch.☆1,074Updated 3 years ago
- Laplace approximations for Deep Learning.☆514Updated 2 months ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,055Updated 2 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆872Updated 5 years ago
- DiffusionFastForward: a free course and experimental framework for diffusion-based generative models☆649Updated 2 years ago
- Elucidating the Design Space of Diffusion-Based Generative Models (EDM)☆1,718Updated last year
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆626Updated 4 years ago