passion4energy Goto Github PK
Type: User
Bio: Enthusiastic about data analysis and machine learning for energy applications
Location: Germany
Type: User
Bio: Enthusiastic about data analysis and machine learning for energy applications
Location: Germany
Python package for solving initial value problems (IVP) and two-point boundary value problems (2PBVP).
PyDA: A hands-on introduction to dynamical data assimilation with Python
Pythonic multiple doppler code based off the 3D variational technique
Python Dynamic Mode Decomposition
Design of experiments for Python
Multibody dynamics tool kit.
Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics
Python implementation of Elastica, an open-source software for the simulation of assemblies of slender, one-dimensional structures using Cosserat Rod theory.
python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)
Basic options pricing in Python
Portfolio and risk analytics in Python
Python Geometrical Morphing
ODE modelling in Python
Bayesian optimization for Python
The Python API to the ISC anomaly detection and classification framework
Kalman Filter, Smoother, and EM Algorithm for Python
a general library for fatigue and reliability
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Library of astronomical algorithms in Python
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
A Model Predictive Control (MPC) Python library based on the OSQP solver.
Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
MultiVariate Pattern Analysis in Python
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
An object-oriented algebraic modeling language in Python for structured optimization problems.
Optimization sample codes on Python
pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner.
python Parameter EStimation TOolbox
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.