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Search results for pytorch physics

25 search results found

Pypose ⭐ 1,103

A library for differentiable robotics.

Modulus ⭐ 478

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A 3D electromagnetic FDTD simulator written in Python with optional GPU support

Hamiltonian Nn ⭐ 234

Code for our paper "Hamiltonian Neural Networks"

Lcp Physics ⭐ 194

A differentiable LCP physics engine in PyTorch.

PyTorch Implementation of Physics-informed Neural Networks

Visual Interaction Networks Pytorch ⭐ 164

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

Deeph Pack ⭐ 161

Deep neural networks for density functional theory Hamiltonian.

Modulus Sym ⭐ 86

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts

Interaction_network_pytorch ⭐ 79

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Simurlacra ⭐ 61

reinforcement learning from randomized simulations

Ar Pde Cnn ⭐ 52

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

LUMIN - a deep learning and data science ecosystem for high-energy physics.

Transformer Physx ⭐ 40

Transformers for modeling physical systems

Adept Model Release ⭐ 18

PyTorch implementation of Approximate Derenderer, Extended Physics, and Tracking (ADEPT). http://physadept.csail.mit.edu/

Mechamodlearn ⭐ 18

Structured framework for learning mechanical systems in PyTorch

Scinet_pytorch ⭐ 16

A PyTorch implementation of the SciNet Paper

Extended DeepH (xDeepH) method for magnetic materials.

WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.

Tracking Ml Exa.trkx ⭐ 14

The message passing GAN https://arxiv.org/abs/2106.11535 and generative adversarial particle transformer https://arxiv.org/abs/2211.10295 architectures for generating particle clouds

Pde Estimation ⭐ 12

Pytorch code for learning an underlying PDE from given data.

Code for the ACL2023 paper "SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres"

[ICML 2023] Non-Uniform Neural Operator (NUNO)

Interactionnetwork Pytorch ⭐ 5

Interaction Networks implemented in PyTorch

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