xwybq

xwybq's Stars

• lightkurve/lightkurve

  A friendly package for Kepler & TESS time series analysis in Python.

  Language:Python412166

• camUrban/PteraSoftware

  Ptera Software is a fast, easy-to-use, and open-source software package for analyzing flapping-wing flight.

  Language:Python17436

• agonzalezpuerta/AerospacePythonTools

  A series of Python-based tools useful for the analysis of satellite missions.

  Language:Python6

• djangovanderplas/LiquidEngineSizingTool

  A comprehensive solution for designing and optimizing student-built liquid rocket engines.

  Language:Python101

• albiboni/AileronSimulation

  Structural analysis of the aileron of a Boeing 737

  Language:Python104

• VictorAlulema/1976-Standard-Atmosphere

  A Python implementation of the 1976 standard atmosphere model. Suitable to determine air properties at different altitudes.

  Language:Python124

• white-noise-ntua/autogyro-blades-optimization

  Black-Box optimization of a rotor's shape using Projected Gradient Descent

  Language:Python5

• jlobatop/solid-rocket-grain

  Analysis of the distribution of the grain of a solid rocket with celllular automata

  Language:Jupyter Notebook3

• CarterJMcKenzie/AerospaceStructures

  A repository of fundamental structures equations

  Language:Python41

• wilcoschoneveld/aerospacetoolbox

  [Python] Numerical module for aerospace analysis

  Language:Python131

• GilbertoCunha/Atmospheric-Scattering

  An algorithm that calculates images of the sky based on light scattering phenomena

  Language:Python172

• tksmatsubara/discrete-autograd

  Code for "Deep Energy-Based Modeling of Discrete-Time Physics," NeurIPS, 2020.

  Language:Python19

• MartinAchondo/XPPBE

  Physics Informed Neural Networks (PINNs) code to solve the 3D Poisson-Boltzmann equation.

  Language:Python84

• mehta-lab/VisCy

  computer vision models for single-cell phenotyping

  Language:Python293

• UCAS-CODER/TIANCHI-INDUSTRY-AI

  天池工业AI大赛

  Language:Python3

• Edjchg/TECSpace-Project-1

  The goal of this project is to approach Aerospace Engineering from computational perspective, in order to facilitate calculations about rocket design.

  Language:Python1

• Rishit-katiyar/Rocket_Pogo_Effect_Simulation

  Simulation of a rocket undergoing pogo oscillation effect

  Language:Python3

• Sopralapanca/thesis-anomaly-detection-esn

  In this paper, we propose the use of Echo State Networks, for anomaly detection on-the-edge in aerospace applications. The anomaly detection method uses a nonparametric dynamic threshold to detect anomalous behaviours from the observed data by comparing it to the model's predictions.

  Language:Python11

• davideferrari92/multiobjective_symbolic_regression

  This is a Python library that implements a Multi-objective Symbolic Regression algorithm. It can be used as a Machine Learning algorithm to create predictive models in the form of mathematical expressions.

  Language:Python144

• Thiene-L/Mathematical-modeling

  Language:Python4

• xaviergoby/Deep-Learning-and-Computer-Vision-for-Structural-Crack-Detection-And-Classification

  Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance

  Language:Python5316

• AmoliR/nlp-for-book-recommendation

  Content based recommender system for books using NLP.

  Language:Jupyter Notebook195

• zellerlab/GECCO

  GEne Cluster prediction with COnditional random fields.

  Language:Python547

• zhry10/PhyCNN

  Physics-guided Convolutional Neural Network

  Language:Python5530

• emirhanai/Cryptocurrency-Prediction-with-Artificial-Intelligence-V3.0-GRU-Neural-Network

  Cryptocurrency Prediction with Artificial Intelligence V3.0 [GRU Neural Network]

  Language:Jupyter Notebook5017

• AlexandrovLab/SigProfilerExtractor

  SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.

  Language:Python15351

• bunnech/cellot

  Learning Single-Cell Perturbation Responses using Neural Optimal Transport

  Language:Python11311

• Ecogenomics/GTDBTk

  GTDB-Tk: a toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.

  Language:Python46982

• fritzsedlazeck/Sniffles

  Structural variation caller using third generation sequencing

  Language:Python54892

• i12cu84/Mathematical-Modeling-Python

  数学建模2020年深圳杯C题 Project C of 2020 Shenzhen Cup Mathematical Modeling (National Competition)

  Language:Python102