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ml_models_explainability

A package for analysis and evaluating metrics for machine learning models explainability.

ml_rom_closures

Time-series learning of latent-space dynamics for reduced-order model closure

mmd-critic

mmd-critic-1

A PyTorch based implementation of MMD-critic

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

moc

Multi-Objective Counterfactuals

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

model-learning

modelingtoolkit.jl

A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

models

Models and examples built with TensorFlow

modified-sindy

Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

moldqn-pytorch

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

mom5

The Modular Ocean Model

mom6

Modular Ocean Model

momentclosure.jl

Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations

moniel

Interactive Notation for Computational Graphs

moose

Multiphysics Object Oriented Simulation Environment

mor-physics

most-cited-papers

Statistics on most cited papers in recent years of each conferences

mpworks

merges pymatgen, custodian, and FireWorks into a custom workflow for Materials Project

mrcae

a multiresolution convolutional autoencoder architecture

multifluidramses

RAMSES code (modified by Gilles Ferrand)

multigrid_cavity

This program solves incompressible Navier Stokes equations for a 2D lid driven cavity flow using a non-linear multigrid method.

multilevelmachinelearning

multiscale-kmc

Kinetic Monte Carlo with multiple time scales and sensitivity analysis

multiscale_hits

multiscalediscovery

multiscalepinns

multistepnns

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems