passion4energy Goto Github PK

magi

mantra

A high-level, rapid development framework for machine learning projects

mat-vae

A MATLAB implementation of Auto-Encoding Variational Bayes

matlab-mosaik-toolbox

This toolbox provides a high-level API for the Mosaik co-simulation framework (https://mosaik.offis.de/) in Matlab

matplotlib-chord-diagram

plot chord diagram with matplotlib

mcerp

Real-time latin-hypercube sampling-based Monte Carlo ERror Propagation

medgp

A distributed version of the sparse multi-output Gaussian process framework integrating python and C++.

medium_articles

Scripts/Notebooks used for my articles published on Medium

mictools

A practical tool for Maximal Information Coefficient (MIC) analysis

minisam

A general and flexible factor graph non-linear least square optimization framework

ml-identify-battery-degradation

mlrmbo

Toolbox for Bayesian Optimization and Model-Based Optimization in R

mlsummit2020

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

modelbuilder

mpc

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

mpc-based-energy-management-system

mpc-code

A multipurpose, easy-to-use Model Predictive Control design and simulation code

mpc-dl-controller

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

mpc_template-model_predictive_control_for_reinforcement_learning

Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment

mpca

methods for handling missing data in PCA

mpcpy

Open-source platform for model predictive control (MPC) in buildings.

mpopt

A pseudo-spectral collocation based multi-phase Optimal control problem solver

nab

The Numenta Anomaly Benchmark

neqsimhome

NeqSim is a library for calculation of fluid behavior, phase equilibrium and process simulation

neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

neural-mpc

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural-networks-and-deep-learning-1

This is my assignment on Andrew Ng's course “neural networks and deep learning”