CarlaSa / diffusion_journal_club_24Links
Repository of the journal club "Diffusion Models and Generative Modeling"
☆17Updated last year
Alternatives and similar repositories for diffusion_journal_club_24
Users that are interested in diffusion_journal_club_24 are comparing it to the libraries listed below
Sorting:
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆693Updated 3 weeks ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆141Updated 2 years ago
- ☆211Updated last week
- Run PyTorch in JAX. 🤝☆311Updated 3 months ago
- Normalizing flows in PyTorch☆441Updated last month
- Gaussian processes in JAX and Flax.☆578Updated last week
- ☆204Updated last year
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆533Updated last month
- Compositional Linear Algebra☆506Updated 5 months ago
- ☆618Updated last week
- Reliable, minimal and scalable library for pretraining foundation and world models☆118Updated last week
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆498Updated last year
- Uncertainty quantification with PyTorch☆379Updated this week
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆309Updated last week
- Pytorch-like dataloaders for JAX.☆98Updated last month
- Collecting research materials on neural samplers with diffusion/flow models☆59Updated 6 months ago
- code for "Riemannian Flow Matching on General Geometries".☆283Updated last year
- Flow-matching algorithms in JAX☆114Updated last year
- Use Jax functions in Pytorch☆259Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- A modular, easy to extend GFlowNet library☆304Updated this week
- A parallel ODE solver for PyTorch☆277Updated last year
- A dataloader, but for JAX☆20Updated last year
- Lecture "A computational introduction to stochastic differential equations".☆34Updated 7 months ago
- Add a tqdm progress bar to your JAX scans and loops.☆124Updated 8 months ago
- This is the official code release for Bayesian Flow Networks.☆309Updated last year
- Laplace approximations for Deep Learning.☆532Updated 9 months ago
- A projection-based framework for gradient-free and parallel learning☆109Updated 7 months ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆32Updated 2 years ago