Alternatives and similar repositories for neural-conservation-law

Users that are interested in neural-conservation-law are comparing it to the libraries listed below

• facebookresearch / SOC-matching

  View on GitHub
  Code release for "Stochastic Optimal Control Matching"
  ☆39Aug 14, 2024Updated last year
• facebookresearch / semi-discrete-flow

  View on GitHub
  code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
  ☆26Dec 10, 2022Updated 3 years ago
• mlvlab / MonotoneFlows

  View on GitHub
  Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"
  ☆14Nov 28, 2022Updated 3 years ago
• fsschneider / cockpit-experiments

  View on GitHub
  Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"
  ☆13Oct 25, 2021Updated 4 years ago
• DENG-MIT / StiffNet-Benchmark

  View on GitHub
  Benchmark for learning stiff problems using physics-informed machine learning
  ☆12Dec 15, 2021Updated 4 years ago
• ling-pan / Stochastic-GFN

  View on GitHub
  ☆14Aug 18, 2023Updated 2 years ago
• plugyawn / gp-zoo

  View on GitHub
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Nov 19, 2022Updated 3 years ago
• taDachs / Overview-of-Variational-Autoencoder-based-Generative-Models

  View on GitHub
  This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…
  ☆12Feb 15, 2021Updated 5 years ago
• thjashin / rodeo

  View on GitHub
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Nov 14, 2023Updated 2 years ago
• ningliu-iga / DAFNO

  View on GitHub
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Sep 3, 2024Updated last year
• tum-pbs / differentiable-piso

  View on GitHub
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆41Sep 30, 2022Updated 3 years ago
• martenlienen / finite-element-networks

  View on GitHub
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69May 22, 2024Updated last year
• hadsed / PyGPML

  View on GitHub
  Gaussian process regression code.
  ☆25Apr 24, 2014Updated 11 years ago
• necludov / jam

  View on GitHub
  Implementation of Action Matching
  ☆51Jun 5, 2023Updated 2 years ago
• CW-Huang / CP-Flow

  View on GitHub
  Convex potential flows
  ☆85Nov 19, 2021Updated 4 years ago
• bayesiains / reading-group

  View on GitHub
  ☆18Apr 22, 2020Updated 5 years ago
• cfinlay / ffjord-rnode

  View on GitHub
  Regularized Neural ODEs (RNODE)
  ☆81Jul 16, 2021Updated 4 years ago
• juliagusak / neural-ode-metasolver

  View on GitHub
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Mar 30, 2021Updated 4 years ago
• crispitagorico / torchspde

  View on GitHub
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆56Nov 27, 2022Updated 3 years ago
• siefkenj / prettier-plugin-latex

  View on GitHub
  Plugin to format LaTeX with prettier.js
  ☆27Sep 27, 2023Updated 2 years ago
• jminjares4 / Microprocessor-2-Lab-Template

  View on GitHub
  Microprocessor 2 Lab Template
  ☆11Apr 29, 2024Updated last year
• SERVIR / flood_mapping_intercomparison

  View on GitHub
  Flood Mapping Intercomparison
  ☆15Nov 5, 2025Updated 3 months ago
• erichson / LipschitzRNN

  View on GitHub
  Lipschitz Recurrent Neural Networks
  ☆30Jun 28, 2021Updated 4 years ago
• seedatnabeel / TE-CDE

  View on GitHub
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Jun 9, 2022Updated 3 years ago
• barkm / torch-fenics

  View on GitHub
  PyTorch-FEniCS interface
  ☆106Mar 29, 2021Updated 4 years ago
• snap-stanford / le_pde

  View on GitHub
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆29Jan 30, 2024Updated 2 years ago
• jejjohnson / uncertain_gps

  View on GitHub
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Apr 16, 2021Updated 4 years ago
• ermongroup / higher_order_invariance

  View on GitHub
  Code for "Accelerating Natural Gradient with Higher-Order Invariance"
  ☆30Jun 28, 2019Updated 6 years ago
• DoronHav / WassersteinFlowMatching

  View on GitHub
  ☆39Jan 27, 2026Updated 3 weeks ago
• mitmath / 18336

  View on GitHub
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆191Feb 2, 2026Updated 2 weeks ago
• tum-pbs / SMDP

  View on GitHub
  Solving Inverse Physics Problems with Score Matching
  ☆32Dec 4, 2023Updated 2 years ago
• Rose-STL-Lab / Turbulent-Flow-Net

  View on GitHub
  Turbulent flow network source code
  ☆71Mar 14, 2025Updated 11 months ago
• jmaronas / TGP.pytorch

  View on GitHub
  Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021
  ☆25Dec 19, 2022Updated 3 years ago
• TeamBasedInquiryLearning / linear-algebra

  View on GitHub
  ARCHIVED - Materials for running a Team-Based Inquiry Learning linear algebra course
  ☆10Jul 30, 2024Updated last year
• xlwan / KRnet

  View on GitHub
  ☆11Mar 24, 2021Updated 4 years ago
• Archelunch / dspy-toon

  View on GitHub
  TOON as DSPy adapter
  ☆25Feb 1, 2026Updated 2 weeks ago
• stnamjef / SPINN

  View on GitHub
  [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks
  ☆88Oct 25, 2023Updated 2 years ago
• microsoft / statopt

  View on GitHub
  Statistical adaptive stochastic optimization methods
  ☆32Mar 28, 2020Updated 5 years ago
• RaulPL / awesome-gaussian-processes

  View on GitHub
  A curated list of resources for learning Gaussian Processes
  ☆42Jul 18, 2021Updated 4 years ago