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
Examples of Fortran 2003 C / C++ interfacing with Fortran
Linear and non-linear spectral forecasting algorithms
GAAL-based Outlier Detection
GEKKO Python for Machine Learning and Dynamic Optimization
Generative Tensorial Reinforcement Learning (GENTRL) model
Python tools for geographic data
Constrained optimization toolkit for PyTorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Probabilistic time series modeling in Python
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology
Gaussian processes on the GPU
MPC with Gaussian Process
A didactic Gaussian process package for researchers in Jax.
GPmp: the Gaussian process micro package
General Integrated Modeling environment for the Supply of Electricity and Low-temperature heat
Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python
Highly comparative time-series analysis
Python Heart Rate Analysis Package, for both PPG and ECG signals
Learning High-Level Policies for Model Predictive Control.
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
Analyze an energy storage load profile to determine the potential for hybridisation, i.e. to implement a hybrid energy storage system
Hydrogen (or other pure gas phase species) depressurization calculations
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A Python package for working with electrochemical impedance data
A mutable, self-balancing interval tree. Queries may be by point, by range overlap, or by range containment.
Financial Data Extraction from Investing.com with Python
Hardware accelerated, batchable and differentiable optimizers in JAX.
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.