Michael Bloem's repositories
kedro-mlflow-demo
Demo of how Kedro+MLflow can work together
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
towerdefense-RL
Trying out reinforcement learning for a game called Tower Defense.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
DeepBeerInventory-RL
The code for the SRDQN algorithm to train an agent for the beer game problem
lift-example
Simple example of computing lift scores
multi-armed-bandits
Some code for demonstrating multi-armed bandits and reinforcement learning
NLP-Keras
A repo for a trying out some NLP using deep learning with Keras