lindseysbrown / Auto-eDLinks
A web based tool for visualization of the forward and reverse modes of automatic differentiation
☆17Updated last year
Alternatives and similar repositories for Auto-eD
Users that are interested in Auto-eD are comparing it to the libraries listed below
Sorting:
- Datasets and code for results presented in the ProbConserv paper☆53Updated last year
- http://cranmer.github.io/stats-ds-book☆70Updated 4 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 9 months ago
- This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor …☆64Updated 10 months ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated last month
- Deep learning for particle physicists☆28Updated 2 years ago
- Learning some numerical linear algebra.☆70Updated 4 years ago
- Mathematical operations for JAX pytrees☆199Updated 6 months ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆151Updated 5 months ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆56Updated last year
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆96Updated last year
- Datasets and code for results presented in the BOON paper☆44Updated 2 years ago
- Orthogonal polynomials in all shapes and sizes.☆184Updated last year
- Introductory lecture on Pytorch☆17Updated 3 years ago
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- IPython notebooks with supplementary material to accompany the textbook by Trefethen & Bau.☆30Updated 6 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆206Updated last year
- Notebooks for the "Deep Learning with JAX" book☆149Updated 2 weeks ago
- Reference implementation for the Hasegawa-Wakatani model of plasma turbulence inside nuclear fusion reactors in two dimensions☆25Updated 10 months ago
- Code for the book "The Elements of Differentiable Programming".☆88Updated this week
- A collection of relevant literature related to advancement of machine learning techniques for turbulence modeling and analysis☆17Updated 5 years ago
- ☆26Updated 2 years ago
- Tutorials for getting the most out of Matplotlib☆22Updated 4 years ago
- A metrics library for the JAX ecosystem☆40Updated 2 years ago
- ☆21Updated last year
- deep learning with pytorch lightning☆1Updated 7 months ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆160Updated 2 years ago
- Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021☆20Updated 3 years ago
- Simple GPU rendering of scientific data with Pytorch, Jax, CuPy, and Warp backends.☆26Updated last year
- OSS library that implements deep learning methods for partial differential equations and much more☆440Updated last month