degregat / awesome-researchLinks
A curated list of resources to help with computational research.
☆20Updated 3 years ago
Alternatives and similar repositories for awesome-research
Users that are interested in awesome-research are comparing it to the libraries listed below
Sorting:
- Solving Optimization Problems with JAX, code and PDF☆16Updated 5 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- ☆101Updated this week
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆58Updated 2 years ago
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆99Updated last year
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆130Updated 11 months ago
- Riemannian Optimization Using JAX☆52Updated last year
- Python Algorithms for Randomized Linear Algebra☆56Updated 2 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- ☆21Updated 10 months ago
- Stencil computations in JAX☆71Updated last year
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Website of the Machine Learning and the Physical Sciences workshop at NeurIPS conference☆20Updated this week
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Dive into Jax, Flax, XLA and C++☆31Updated 5 years ago
- Website for the book "The Elements of Differentiable Programming".☆14Updated 2 months ago
- Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…☆18Updated 4 years ago
- ☆10Updated 2 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago
- Neural reparameterization improves structural optimization☆124Updated 4 years ago
- Differentiable interface to FEniCS for JAX☆57Updated 4 years ago
- Neural network verification in JAX☆145Updated 2 years ago
- ☆20Updated 3 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
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago