nish-ant

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Bend

A massively parallel, high-level programming language

terminals-are-sexy

💥 A curated list of Terminal frameworks, plugins & resources for CLI lovers.

sktime

A unified framework for machine learning with time series

nevergrad

A Python toolbox for performing gradient-free optimization

dotfiles

My Rice Setup

githublog

I'm sick of complex blogging solutions, so markdown files in a git repo it is

Overleaf-Workshop

Open Overleaf/ShareLaTex projects in vscode, with full collaboration support.

dafoam

DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization

Assembly-Algorithms

Repository of algorithms implemented in pure assembly

openfoam-adapter

OpenFOAM-preCICE adapter

PIVlab

Particle Image Velocimetry for Matlab, official repository

turbinesFoam

Actuator line modeling extension library for OpenFOAM.

PySPOD

A Python package for spectral proper orthogonal decomposition (SPOD).

pylibROM

Python interface for libROM, library for reduced order models

adaptive-mesh-refinement

OpenFoam® motorBike case with adaptive volume & surface mesh refinement based on curl(U) or grad(p)

mathematicsNumericsDerivationsAndOpenFOAM

The LaTeX files for the well-known book from Tobias Holzmann for the free version

odil

AirfRANS

In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the NeurIPS 2022 Datasets and Benchmarks Track conference.

AI-Lorenz

SMDP

Solving Inverse Physics Problems with Score Matching

wakeFoam

An external library for OpenFOAM, containing a custom boundary condition for a velocity field behind cylinder.

openturbine

A flexible multibody structural dynamics code for wind turbines

DD-NM-ROM

ml4physim_startingkit

dynlab

Dynlab is a python package to make dynamical systems analysis faster and easier, by providing practitioners prebuilt modules for calculating common diagnostics.

IA_CNRS_ICA

Notebooks and Data for ICA's course on IA

OpenFoam-Documentation

NNsPOD

Deep-learning model for optimised proper orthogonal decomposition of non-linear, hyperbolic, parametric PDEs based on a pre-processing method of the full-order solutions