Codes for paper "Flexible Neural Representation for Physics Prediction".
☆46Nov 30, 2018Updated 7 years ago
Alternatives and similar repositories for physics_prediction
Users that are interested in physics_prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2019] Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids☆140Sep 9, 2020Updated 6 years ago
- Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1…☆22Aug 22, 2018Updated 8 years ago
- Code for paper: Latent-space Dynamics for Reduced Deformable Simulation☆39May 29, 2019Updated 7 years ago
- Implement Subspace Neural Physics☆28Dec 6, 2019Updated 6 years ago
- A set of custom deep network layers written in PyTorch to enable computation with unordered particle sets with an emphasis on fluid dynam…☆69Jan 18, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆91May 24, 2018Updated 8 years ago
- Factoried Neural Relational Inference for Multi-Interacting Systems☆31May 22, 2019Updated 7 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Jul 26, 2018Updated 8 years ago
- Code for the paper "Representing Spatial Trajectories as Distributions"☆14Jan 17, 2023Updated 3 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- An implementation of "XPBD: position-based simulation of compliant constrained dynamics", MIG'16☆90Sep 9, 2017Updated 9 years ago
- Source code for my homepage.☆18Apr 24, 2026Updated 5 months ago
- Implementation of the paper "Movement Primitives via Optimization" (Dragan et al., 2016). It includes both the adaptation of trajectories…☆22Jan 28, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆16Jul 30, 2024Updated 2 years ago
- ☆53Dec 15, 2018Updated 7 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆22Mar 25, 2023Updated 3 years ago
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆13Apr 11, 2024Updated 2 years ago
- DTLC-GAN Tensorflow☆12Aug 29, 2018Updated 8 years ago
- Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics☆158Jul 10, 2017Updated 9 years ago
- Representation Learning with Deconvolutional Networks for Multivariate Time Series☆12Jul 11, 2016Updated 10 years ago
- A differentiable LCP physics engine in PyTorch.☆317Jan 8, 2021Updated 5 years ago
- ☆16Mar 3, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11Apr 12, 2019Updated 7 years ago
- Deep Learning Scaling tutorial material for the Deep Learning for Science School at Berkeley Lab☆10Jul 19, 2019Updated 7 years ago
- LSiM is a learned metric to compute distance values for 2D data from numerical simulations☆28Oct 4, 2023Updated 3 years ago
- Code for "Deep Energy-Based Modeling of Discrete-Time Physics," NeurIPS, 2020. (Oral)☆19Jan 30, 2022Updated 4 years ago
- MIMEx: Intrinsic Rewards from Masked Input Modeling [NeurIPS 2023]☆16May 17, 2023Updated 3 years ago
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆24Oct 12, 2021Updated 5 years ago
- Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking'☆47Mar 24, 2023Updated 3 years ago
- The repository for paper https://arxiv.org/abs/1902.10840☆61Feb 14, 2020Updated 6 years ago
- Sparse Physics-based and Interpretable Neural Networks☆54Sep 30, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- compressing physics with neural networks☆160Jul 10, 2018Updated 8 years ago
- A python package for physics-informed machine learning for solving partial differential equations☆14Feb 12, 2025Updated last year
- Neural relational inference for interacting systems - pytorch☆779Nov 19, 2019Updated 6 years ago
- ☆41Jul 20, 2023Updated 3 years ago
- ☆14Jul 12, 2022Updated 4 years ago
- ☆11May 15, 2024Updated 2 years ago
- ☆19Apr 5, 2024Updated 2 years ago