giulio98 / functional-diffusion-processes
Official code for Continuous-Time Functional Diffusion Processes (NeurIPS 2023).
☆19Updated last year
Alternatives and similar repositories for functional-diffusion-processes
Users that are interested in functional-diffusion-processes are comparing it to the libraries listed below
Sorting:
- Official codebase for "Score-based Diffusion Models in Function Space"☆12Updated 3 months ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆105Updated 5 months ago
- ☆24Updated 2 years ago
- Flow-matching algorithms in JAX☆90Updated 9 months ago
- ☆142Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆50Updated last year
- code for "Riemannian Flow Matching on General Geometries".☆224Updated last year
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆13Updated 9 months ago
- Neural Diffusion Processes☆77Updated 9 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆43Updated this week
- ☆28Updated last month
- ☆17Updated 3 years ago
- ☆156Updated 9 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 3 years ago
- ☆13Updated last year
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- InverseBench (ICLR 2025 spotlight)☆42Updated 3 weeks ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆22Updated 2 months ago
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆124Updated 2 weeks ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆44Updated 3 months ago
- Collecting research materials on neural samplers with diffusion/flow models☆46Updated 2 months ago
- Efficient Differentiable n-d PDE solvers in JAX.☆37Updated 6 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆100Updated last year
- Code for Lie Symmetries SSL paper☆22Updated last year
- NF-Layers for constructing neural functionals.☆84Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆61Updated 2 months ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆77Updated last month
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆70Updated 6 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆46Updated last month
- Score-based generative models for compact manifolds☆110Updated last year