An intuitive library to extract features from time series.

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 Autoe…

A nonlinear MPC implementation for a quadcopter

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

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

MPC with Gaussian Process

Python package which implements Predictive Control techniques (e.g., MPC, E-MPC)

methods for handling missing data in PCA

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

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

This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python

Pytorch implementation of Model Predictive Control with learned models

Model predictive control python toolbox

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

Learning High-Level Policies for Model Predictive Control.

A Model Predictive Control (MPC) Python library based on the OSQP solver.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations