AliJiuJiu

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Time-Series-Library

A Library for Advanced Deep Time Series Models.

LangGPT

LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt，Language of GPT, 结构化提示词，结构化Prompt

Awesome-Geospatial

Long list of geospatial tools and resources

livepython

Visually trace Python code in real-time.

PhiFlow

A differentiable PDE solving framework for machine learning

CRATE

Code for CRATE (Coding RAte reduction TransformEr).

scipy2023-deeplearning

CfdOF

Computational Fluid Dynamics (CFD) for FreeCAD based on OpenFOAM solver

sdf

Parallelized triangle mesh --> continuous signed distance field on CPU

wizmap

Explore and interpret large embeddings in your browser with interactive visualization! 📍

turbinesFoam

Actuator line modeling extension library for OpenFOAM.

insightcae

InsightCAE

pyGRNN

Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also provided

NeuralPull-Pytorch

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

mogp-emulator

Package for fitting Gaussian Process Emulators to multiple output computer simulation results.

u-dales

uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling

predicting_the_wind

Data Science in Wind Resource Assessment Tutorial at PyData San Diego, March 2020

PINN-MPI

parallel PINNs; RANS equations; spatiotemporal parallel; PINNs

PointNetCFD

Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)

gp_emulator

Gaussian Process emulators in Python

ExtremeSurgeAnalysis

Statistical extreme value analysis of storm surges with Python

Active-learning-codes

This repository is linked to the research article "Prediction of equivalent sand-grain size and identification of drag-relevant scales of roughness - a data driven approach" JFM (2023) by J. Yang, A. Stroh, S. Lee, S. Bagheri, B. Frohnapfel and P. Forooghi.

pybind11foam

This repository contains an easy to use C++ header class for executing Python code directly from OpenFOAM applications. More information can be found at http://pythonpal4foam.github.io.

GPR_Emulator

General code package to perform Gaussian process regression emulation. Comes with training and trial set examples.

porousModel

Porous Media Model to modify volFields in OpenFOAM beyond setFields and topoSet