Prototypes of differentiable differential equation solvers in JAX.
☆27Feb 3, 2020Updated 6 years ago
Alternatives and similar repositories for jaxde
Users that are interested in jaxde are comparing it to the libraries listed below
Sorting:
- Jax-based MaxEnt☆17Nov 24, 2019Updated 6 years ago
- ☆24Feb 3, 2019Updated 7 years ago
- Matrix exponential in cuda for pytorch and tensorflow☆17Nov 26, 2018Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27May 13, 2019Updated 6 years ago
- Dive into Jax, Flax, XLA and C++☆32Apr 1, 2020Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Jan 12, 2019Updated 7 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆33Mar 9, 2020Updated 5 years ago
- Variational Monte Carlo with generative flows for mini-BMN matrix models☆19Aug 20, 2020Updated 5 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Sep 28, 2022Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 4 years ago
- ResearchDoom fork of the Chocolate Doom engine.☆16Oct 20, 2017Updated 8 years ago
- ☆12Oct 8, 2020Updated 5 years ago
- ☆12Dec 7, 2017Updated 8 years ago
- Quantum GAN algorithm based on MPS, realized by Julia.☆11Apr 5, 2019Updated 6 years ago
- python package implementing a multivariate Horner scheme for efficiently evaluating multivariate polynomials☆32Mar 8, 2025Updated 11 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 2 years ago
- Normalizing Flows in Jax☆107Aug 19, 2020Updated 5 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- Julia port of Michael Wimmer's implementation of efficient numerical computation of the Pfaffian☆11Aug 28, 2021Updated 4 years ago
- JAX implementation of Graph Attention Networks☆13Jan 29, 2022Updated 4 years ago
- Autoregressive Energy Machines☆78Nov 22, 2022Updated 3 years ago
- Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch☆15Sep 13, 2021Updated 4 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Jan 23, 2024Updated 2 years ago
- A tutorial for Yao.jl☆12Oct 9, 2023Updated 2 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Jan 24, 2018Updated 8 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Jul 20, 2018Updated 7 years ago
- Differentiable interface to Firedrake for JAX☆15Feb 28, 2021Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 8 years ago
- Concise deep learning for JAX☆183Oct 21, 2020Updated 5 years ago
- ☆16Jun 3, 2025Updated 9 months ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆61Jun 18, 2019Updated 6 years ago
- ☆18Nov 25, 2021Updated 4 years ago
- Unofficial implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, using Flax with the Linen API☆13Sep 25, 2021Updated 4 years ago
- PyMC Extras extracted from the "exoplanet" library☆19Updated this week
- Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks☆39Aug 25, 2019Updated 6 years ago
- Software for SEG2020 abstracts☆15Apr 19, 2021Updated 4 years ago
- Code for the paper "Tensor Networks for Maching Learning"☆17Nov 7, 2019Updated 6 years ago
- throw stuff☆22Sep 30, 2023Updated 2 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Apr 27, 2020Updated 5 years ago