Python Informed-rrt-star Resources

❤ THIS REPO WILL CLOSED IN 31 OCT 00:00 ❤ This repository will automatically assign the hacktoberfest and hacktoberfest-accepted labels to all submitt

Finite basis physics-informed neural networks (FBPINNs) This repository reproduces the results of the paper Finite Basis Physics-Informed Neural Netwo

Intro Official implementation of "Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation" Robotics:Science and

PINN(s): Physics-Informed Neural Network(s) for von Karman vortex street This is

Task-Informed Meta-Learning This repository contains examples of Task-Informed Meta-Learning (paper). We consider two tasks: Crop Type Classification

SBINN: Systems-biology informed neural network The source code for the paper M. Daneker, Z. Zhang, G. E. Karniadakis, & L. Lu. Systems biology: Identi

Romanian-problem-using-Astar-and-GBFS Using A * search algorithm and GBFS search algorithm to solve the Romanian problem Romanian problem: The agent i

RRT-Algorithm-Visualisation This is a project that aims to develop upon the RRT

Star Coordinates Get the AltAz coordinates for a given object using astropy and output on a OLED screen. As a very very newcomer to the astronomy scen

CoINN: Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels Accurate pressure drop estimat

STAR Official implementation of S parse T ransformer-based A ction R ecognition Dataset download NTU RGB+D 60 action recognition of 2D/3D skeleton fro

SMPL2 An enchanced and accelerated SMPL operation which commonly used in 3D human mesh generation. It takes a poses, shapes, cam_trans as inputs, outp

github-star-tracking-python-app Github Star Tracking app with Streamlit #8daysofstreamlit How to run it locally? Clone or Download & Unzip the Repo En

Knowledge Informed Machine Learning using a Weibull-based Loss Function Exploring the concept of knowledge-informed machine learning with the use of a

A python visualization of the A* path finding algorithm. It allows you to pick your start, end location and make obstacles and then view the process of finding the shortest path. You can also choose to include or exclude diagonal movement.

Welcome to the Hacktoberfest 2018 Hello-world 📋 This Project aims to help you to get started with using Github. You can find a tutorial here What is

Overview This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algori

MixText This repo contains codes for the following paper: Jiaao Chen, Zichao Yang, Diyi Yang: MixText: Linguistically-Informed Interpolation of Hidden

ElegantRL “小雅”: Scalable and Elastic Deep Reinforcement Learning ElegantRL is developed for researchers and practitioners with the following advantage

🤖 Reto Reto is a community-oriented Discord bot, featuring a karma system, a way to reward the best comments, leaderboards, and so much more! React t

Characterizing possible failure modes in physics-informed neural networks This repository contains the PyTorch source code for the experiments in the

STAR-pytorch Implementation for paper "STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement" (ICCV 2021). CVF (pdf) STAR-DC

Domain-informed Neural Networks Codes for building and training the neural network model described in Domain-informed neural networks for interaction

holiday-star balena ❤️ adafruitIO Introduction A DiY holiday project to demonstrate how you can send data from adafruitIO cloud to a balena edge devic

Data 25 Star Wars Project Instructions The character data in your MongoDB database has been pulled from https://swapi.tech/. As well as 'people', the

SciANN: Neural Networks for Scientific Computations SciANN is a Keras wrapper for scientific computations and physics-informed deep learning. New to S

Notice: Support for Python 3.6 will be dropped in v.0.2.1, please plan accordingly! Efficient and Scalable Physics-Informed Deep Learning Collocation-

NeuralPDE NeuralPDE.jl is a solver package which consists of neural network solvers for partial differential equations using scientific machine learni

Deep Latent Force Models This repository contains a PyTorch implementation of the deep latent force model (DLFM), presented in the paper, Compositiona

CRO-DeFi-Warner Intro CRO-DeFi-Warner can be used to notify you when a validator changes the commission rate or gets jailed. It can also notify you wh

LILA LILA: Language-Informed Latent Actions Code and Experiments for Language-Informed Latent Actions (LILA), for using natural language to guide assi

PINO Physics-informed Neural Operator for Learning Partial Differential Equation Abstract: Machine learning methods have recently shown promise in sol

Crypter Programmed in Python | PySimpleGUI If you like it give it a star How it works Crypter program use Fernet for encryption. Fernet guarantees tha

Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper

SETS - STO Equipment and Trait Selector A Star Trek Online build tool in Python Description Pre-alpha version of build tool for STO Getting Started De

CDP - Self Council Data Project Council Data Project is an open-source project dedicated to providing journalists, activists, researchers, and all mem

Touhou-Star-Salvation HDCH ICS 4u HD project, start before-wards. A curtain shooting game using python and pygame. By Jason Li For arts and gameplay,

Sampling-Based Motion Planners' Testing Environment Sampling-based motion planners' testing environment (sbp-env) is a full feature framework to quick

Multi-Objective Loss Balancing for Physics-Informed Deep Learning Code for ReLoBRaLo. Abstract Physics Informed Neural Networks (PINN) are algorithms

Star Wars CLI (swcli) This CLI give the possibility to do a queries in Star Wars API and returns a JSON in a terminal. Install $ pip install swcli Qu

A web crawler script that crawls the target website and lists its links || A web crawler script that lists links by scanning the target website.

Toolchest Python Client Toolchest provides APIs for scientific and bioinformatic data analysis. It allows you to abstract away the costliness of runni

DINN We introduce Disease Informed Neural Networks (DINNs) — neural networks capable of learning how diseases spread, forecasting their progression, a

PhyCRNet Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs Paper link: [ArXiv] By: Pu Ren, Chengping Rao, Yang

PiSL A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery. Sun, F., Liu, Y. and Sun, H., 2021. Physics-informe

PINNpapers Contributed by IDRL lab. Introduction Physics-Informed Neural Network (PINN) has achieved great success in scientific computing since 2017.

Eviction Tracker Currently helping verify detainer warrant data for middle Tennessee - via Middle TN DSA - Red Door Collective Features Presents data

Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch

space-grid When I was in middle school, I was a fan of the Flash game Star Relic (no longer playable in modern browsers, but it works alright in Flash

peace-performance-python Fast, To calculate star ratings and performance points for all osu! gamemodes peace-performance (Rust) binding for python bas

Table of Contents Table of Contents Local Planner Visualization Project (LPVP) Features Installation/Usage Local Planners Probabilistic Roadmap (PRM)

IDRLnet IDRLnet is a machine learning library on top of PyTorch. Use IDRLnet if you need a machine learning library that solves both forward and inver

Auto Invite To The Organization By Star A GitHub Action script to automatically invite everyone to your organization that stars your repository. What

STAR-FC This code is the implementation for the CVPR 2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes" 🌟 🌟 . 🎓 Re

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis | paper | training and evaluation data | failure cases and cle