terrence-ou / Generative-Deep-Learning-2nd-Edition-PyTorch-JAXLinks
Pytorch/JAX implementation of examples in Generative Deep Learning 2nd Edition by David Foster
☆26Updated 2 years ago
Alternatives and similar repositories for Generative-Deep-Learning-2nd-Edition-PyTorch-JAX
Users that are interested in Generative-Deep-Learning-2nd-Edition-PyTorch-JAX are comparing it to the libraries listed below
Sorting:
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆195Updated 2 years ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆140Updated 2 years ago
- Programming for AI Practice☆13Updated 5 years ago
- Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.☆87Updated last year
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆403Updated 8 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆89Updated last year
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆130Updated 5 months ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆493Updated last year
- Definitive implementation of the stochastic interpolant framework for generative modeling in jax.☆39Updated 5 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- ☆54Updated last year
- Adjoint-Equivariant Neural Network for Semi-Simple Lie Algebras☆32Updated 3 months ago
- ☆214Updated 10 months ago
- Deep Learning, an Energy Approach☆226Updated 6 months ago
- Mediterranean Machine Learning school 2024 tutorials☆41Updated last year
- ☆13Updated 7 months ago
- [NeurIPS 2025] Official repository for "Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling"☆188Updated 2 months ago
- ☆42Updated 6 months ago
- ☆34Updated 3 years ago
- ☆83Updated last year
- A practical guide to diffusion models, implemented from scratch.☆223Updated 2 weeks ago
- jax library for E3 Equivariant Neural Networks☆221Updated 3 months ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆40Updated 9 months ago
- code for "Riemannian Flow Matching on General Geometries".☆277Updated last year
- PySCF on IPU☆44Updated last year
- Flow-matching algorithms in JAX☆112Updated last year
- Interactive visualizations of the geometric intuition behind diffusion models.☆919Updated this week
- Materials related to the 2024-2025 mini course on Probabilistic Models and Bayesian Methods at the Faculty of Finance at Kharazmi Univers…☆26Updated 6 months ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- Notebooks for the "Deep Learning with JAX" book☆165Updated 6 months ago