elizabethnewman / hessQuik
Computing gradients and Hessians of feed-forward networks with GPU acceleration
☆18Updated last year
Alternatives and similar repositories for hessQuik:
Users that are interested in hessQuik are comparing it to the libraries listed below
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆24Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 4 years ago
- ☆21Updated 5 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70Updated 10 months ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Package for CGD and ACGD optimizers☆20Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆21Updated last month
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated 10 months ago
- Convex potential flows☆83Updated 3 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- ☆31Updated last year
- ☆52Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆75Updated last month
- ☆15Updated 2 years ago
- Probabilistic Solution of Differential Equations☆13Updated 2 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 4 years ago
- ☆28Updated 3 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆36Updated 2 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated last month
- Methods and experiments for assumed density SDE approximations☆11Updated 3 years ago