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Search results for deep learning physics
deep-learning
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physics
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43 search results found
Physo
⭐
1,669
Physical Symbolic Optimization
Physics Based Deep Learning
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1,536
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Pypose
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1,103
A library for differentiable robotics.
Neuralpde.jl
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864
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Awesome Robotics
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817
A curated list of awesome links and software libraries that are useful for robots.
Modulus
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478
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Sciann
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267
Deep learning for Engineers - Physics Informed Deep Learning
Hamiltonian Nn
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234
Code for our paper "Hamiltonian Neural Networks"
Hep Ml Resources
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224
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
Visual Interaction Networks Pytorch
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164
This's an implementation of deepmind Visual Interaction Networks paper using pytorch
Dynamics
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144
A Compositional Object-Based Approach to Learning Physical Dynamics
Deephpms
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120
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Calogan
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103
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Modulus Sym
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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
Computational Physics And Machine Learning Reading List
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74
A list of papers relating Computational Physics and Machine Learning
Marburg
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70
physics meets neural networks
Xpinns
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66
Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations
Ml4chem
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64
ML4Chem: Machine Learning for Chemistry and Materials
Phygnn
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61
physics-guided neural networks (phygnn)
Heat Pinn
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53
A Physics-Informed Neural Network to solve 2D steady-state heat equation.
Ar Pde Cnn
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52
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
Mujocounity
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48
Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).
Recnn
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47
Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
Lumin
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47
LUMIN - a deep learning and data science ecosystem for high-energy physics.
Labelfree Dnn Surrogate
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46
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
Adversarial Jets
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45
Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
Imagefusion_resnet50
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45
Infrared and Visible Image Fusion with ResNet and zero-phase component analysis.(Journal of Infrared Physics & Technology 2019)
Turbulent Flow Net
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42
Deep Learning Physics
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40
This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.
Transformer Physx
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40
Transformers for modeling physical systems
Tfga
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38
Python package for Geometric / Clifford Algebra with TensorFlow
Chainer Nri
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29
Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer
Sparkdltrigger
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28
Repo for the article "Machine Learning Pipelines with Modern Big DataTools for High Energy Physics"
Snist
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26
A Benchmark for Seismic Velocity Inversion from Synthetics
Awesome Physics Programming
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20
😎 ☄️ Collection of the most awesome learning resources on physics programming in the form of videos, tutorials and frameworks.
Drlplayground
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20
A deep reinforcement learning playground with Unity running the game physics, and Python handling the reinforcement learning algorithms.
Pararealml
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19
A machine learning boosted parallel-in-time differential equation solver framework.
Creative Coding Notebooks
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19
🎨 An authorial set of fundamental Python recipes on Creative Coding and Computer Art.
Usnccm15 Short Course Recent Advances In Physics Informed Deep Learning
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17
Infotopopy
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17
computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks
Scinet_pytorch
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16
A PyTorch implementation of the SciNet Paper
Mpgan
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13
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
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12
Pytorch code for learning an underlying PDE from given data.
Hroch
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11
Extremly fast c++/python symbolic regression library based on parallel local search.
Turbulent Flow Nets
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11
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Physics Informed Autoencoders
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10
Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid flow dynamics
Xy_universe
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10
A 2D Particle Survival Environment for Deep Reinforcement Learning
Bmin_comphys
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9
computational physics (Chungbuk National University, Korea)
Course Astroml Hackdays Eth Seminars
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8
This repository contains the material for the Machine Learning and Astrophysics Hack Days.
Crumpling
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6
Code from "Machine Learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets" Science Advances 2019
Cifar 10_tutorial
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6
Kerasを用いたCIFAR-10チュートリアル
Ldbp
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5
Physics-Based Deep Learning for Fiber-Optic Communication Systems
Deeplearning
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5
Exercises that I wrote to supplement the Deep Learning (Goodfellow et al.) textbook during my read-through.
Orcanet
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5
Keras-based deep learning framework for particle physics within the KM3NeT neutrino telescope project
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1-43 of 43 search results
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