Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
abm_template
Collection of templates for agent-based modelling.
abmgis
Accompanying resources for the book 'Agent-Based Modelling and Geographical Information Systems: A Practical Primer'.
Agent_Based_Model
Model where the agents interact with itself and the enivionment. This is visualized with an animated plot
AgentBasedModel
Agent-Based Model of Human Activity Patterns
AgentBasedTutorial
https://www.binpress.com/tutorial/introduction-to-agentbased-models-an-implementation-of-schelling-model-in-python/144
art_of_data_visualization
The art of effective visualization of multi-dimensional data
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
bayesian-belief-networks
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
Mazzol's Repositories
Mazzol/aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
Mazzol/BayesianModelUpdating
Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems
Mazzol/BayesianNetwork
Bayesian Network Modeling and Analysis
Mazzol/BayesNetBP
R package for inference in Bayesian networks.
Mazzol/econsa
Uncertainty propagation and global sensitivity analysis for computational economic models
Mazzol/finance_python
finance
Mazzol/finance_python-1
Python program to scrape stock market data from TMX, Yahoo, Nasdaq, and TDAmeritrade.finance
Mazzol/Global-Sensitivity-Analysis-in-Hydrus-1D
Global Sensitivy Analyses with package SALib to evaluated the Hydrus-1D software simulation in vadose zone of the soil
Mazzol/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Mazzol/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Mazzol/hedgehog
🦔 Bayesian networks in Python
Mazzol/HYBRID
HYBRID is a modeling toolset to assess the integration and economic viability of Integrated Energy Systems (IES).
Mazzol/jams_python
General Python package offering miscellaneous functions in different categories, such as reading different file formats, julian date routines, or meteorological functions.
Mazzol/maths_julia
Julia codes for various mathematics topics
Mazzol/MVA
Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results
Mazzol/NIST-Uncertainty-Machine
Uncertainty propagation tool using both Gauss formula and monte carlo method.
Mazzol/OpenCossan
OpenCossan is an open and free toolbox for uncertainty quantification and management.
Mazzol/PBA
R code for the case study in the manuscript titled "Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis."
Mazzol/pba-for-python
Mazzol/pgmpy
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
Mazzol/pyBN
Bayesian Networks in Python
Mazzol/pyeee
A Python library providing parameter screening of computational models using Morris' method of Elementary Effects or its extension of Efficient/Sequential Elementary Effects by Cuntz, Mai et al. (Water Res Research, 2015).
Mazzol/pygpc
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
Mazzol/python-cheatsheet
Comprehensive Python Cheatsheet
Mazzol/Simscape-Triplex-Pump
Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape
Mazzol/SMCPy
Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
Mazzol/tesseract
Tesseract Open Source OCR Engine (main repository)
Mazzol/twinflow
This repository provides tools for developing Digital Twins on AWS and hybrid-computing environments.
Mazzol/UQPCE
Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open source, python based research code for use in parametric, non-deterministic computational studies. UQPCE utilizes a non-intrusive polynomial chaos expansion surrogate modeling technique to efficiently estimate uncertainties for computational analyses. The software allows the user to perform an automated uncertainty analysis for any given computational code without requiring modification to the source. UQPCE estimates sensitivities, confidence intervals, and other model statistics, which can be useful in the conceptual design and analysis of flight vehicles. This software was developed for the Aeronautics Systems Analysis Branch (ASAB) within the Systems Analysis and Concepts Directorate (SACD) at NASA Langley Research Center to study potential impacts of uncertainties on the prediction of ground noise generated from commercial supersonic aircraft concepts.
Mazzol/water-tank-digital-twin