Popular GitHub Repositories for Smoothed Particle Hydrodynamics

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Autonomous car simulator (based on JavaScript & WebGL) implemented by fuzzy control system, genetic algorithm and particle swarm optimization.

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment

A Deep learning library for neutrino telescopes

A particle-based encoding for Neural Radiance Fields

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

Particle Swarm Optimizer For Neural Network Training

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

CSE 571 Artificial Intelligence

Reconstruct billions of particle trajectories with graph neural networks