tksmatsubara / discrete-autogradView external linksLinks
Code for "Deep Energy-Based Modeling of Discrete-Time Physics," NeurIPS, 2020. (Oral)
☆19Jan 30, 2022Updated 4 years ago
Alternatives and similar repositories for discrete-autograd
Users that are interested in discrete-autograd are comparing it to the libraries listed below
Sorting:
- A Notebook Environment for Safe and Efficient Exploration☆14Jul 16, 2023Updated 2 years ago
- IsoGCN code for ICLR2021☆51Nov 12, 2021Updated 4 years ago
- Code for "Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory," NeurIPS, 2021.☆19Jan 8, 2022Updated 4 years ago
- Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video☆41May 22, 2023Updated 2 years ago
- 数学・物理のためのコンピュータサイエンス入門☆21Dec 27, 2025Updated last month
- Official FluxGNN code for ICML2024☆26Feb 27, 2025Updated 11 months ago
- Graph-based operator learning in arbitrary geometries☆34Dec 19, 2025Updated last month
- A multiphase field model based on machine learning method☆49Feb 10, 2022Updated 4 years ago
- Projection operator method for statistical data analysis☆10Mar 11, 2025Updated 11 months ago
- Re-implementation of Hamiltonian Generative Networks paper☆35Aug 22, 2022Updated 3 years ago
- This repository contains the scripts for reproducing the results presented in Costa AC, Ahamed T, Jordan D, Stephens GJ (2023) "A Markov…☆11Sep 25, 2025Updated 4 months ago
- Source code and datasets for Circuit Design Completion using GNNs paper☆10Jan 26, 2023Updated 3 years ago
- Links to all assignments for a graphics 101 course.☆15Aug 28, 2024Updated last year
- Procyon is the brightest star in the constellation of Canis Minor. But it's also the name of my RISC-V out-of-order processor.☆12Apr 6, 2023Updated 2 years ago
- Water wave models in one dimension☆10Jan 4, 2026Updated last month
- Refining continuous-in-depth neural networks☆42Nov 14, 2021Updated 4 years ago
- Toolkit for Bayesian scaling analysis☆14Sep 8, 2022Updated 3 years ago
- Learning Generalized Physical Representation from a Few Examples☆17Feb 9, 2026Updated last week
- ☆14Mar 3, 2022Updated 3 years ago
- ☆13Oct 14, 2021Updated 4 years ago
- Dynamic mode decomposition in Python☆13Jun 9, 2015Updated 10 years ago
- ☆13Aug 6, 2025Updated 6 months ago
- Embedding language models in probability space via log-likelihood vectors☆16Oct 25, 2025Updated 3 months ago
- Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"☆10Jun 20, 2023Updated 2 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆93Apr 5, 2021Updated 4 years ago
- PENN code for NeurIPS 2022☆42Jan 11, 2023Updated 3 years ago
- An unofficial jax/haiku implementation of Crystal Graph Convolutional Neural Networks (CGCNN)☆10Dec 17, 2022Updated 3 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 3 years ago
- ☆10Mar 24, 2023Updated 2 years ago
- Toolkit in Python for the acquisition, analysis and visualization of motion capture using IMU☆14May 19, 2021Updated 4 years ago
- Study for Instant neural graphics primitives (Unofficial)☆11Jan 18, 2022Updated 4 years ago
- ☆13Jul 14, 2025Updated 7 months ago
- ☆10Mar 14, 2021Updated 4 years ago
- ☆12Nov 29, 2021Updated 4 years ago
- Prose for a painting source code☆12Oct 8, 2019Updated 6 years ago
- ☆11Jan 23, 2017Updated 9 years ago
- Unofficial mirror of Vega-FEM (http://run.usc.edu/vega/) with a fix or two☆10May 2, 2017Updated 8 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- ☆10Oct 16, 2017Updated 8 years ago