thibmonsel / torchddeLinks
Neural network compatible DDEs
☆13Updated 10 months ago
Alternatives and similar repositories for torchdde
Users that are interested in torchdde are comparing it to the libraries listed below
Sorting:
- Agustinus' very opiniated publication-ready plotting library☆71Updated 9 months ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆152Updated 2 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆79Updated 4 months ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆52Updated 6 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 5 years ago
- ☆20Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆42Updated 3 years ago
- A Python package for intrinsic dimension estimation☆96Updated 4 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆57Updated 2 years ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆31Updated 2 months ago
- Methods and experiments for assumed density SDE approximations☆12Updated 4 years ago
- ☆11Updated last year
- ☆156Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 3 years ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆43Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)☆16Updated 3 years ago
- Stochastic Normalizing Flows☆79Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 8 months ago
- JAX implementation of Kolmogorov Arnold Networks (KANs).☆10Updated last year
- Bayesian inference with Python and Jax.☆34Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76Updated 3 years ago
- Mutual information estimators and benchmark☆56Updated 4 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆62Updated this week
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆109Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆13Updated last year