mattjj / ode-diff-notesLinks
☆12Updated 5 years ago
Alternatives and similar repositories for ode-diff-notes
Users that are interested in ode-diff-notes are comparing it to the libraries listed below
Sorting:
- Dive into Jax, Flax, XLA and C++☆32Updated 5 years ago
- ☆80Updated 4 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 6 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated 2 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 5 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Jax-based MaxEnt☆17Updated 6 years ago
- Documentation:☆126Updated 2 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A LinearOperator implementation for PyTorch☆18Updated 5 years ago
- ☆33Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Layered distributions using FLAX/JAX☆10Updated 5 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 8 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆89Updated 3 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆88Updated last year
- ☆22Updated 5 years ago
- ☆22Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 6 years ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 3 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Updated 6 years ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…☆20Updated 5 years ago
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago