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bobloblawlawblog's Projects

bayesian-hmm icon bayesian-hmm

A non-parametric Bayesian approach to Hidden Markov Models

bbr icon bbr

Biostatistics for Biomedical Research

catch22 icon catch22

catch-22: CAnonical Time-series CHaracteristics

f1tenth_racetracks icon f1tenth_racetracks

This repository contains maps from over 20 real race tracks (mainly F1 and DTM) downscaled for the usage in the F1TENTH Gym and F1TENTH Simulator.

gsoc17-hhmm icon gsoc17-hhmm

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

industry-machine-learning icon industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kats icon kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

learningmpc icon learningmpc

Learning based Model Prodictive Control for online iterative trajectory optimization for F1/10 autonomous racing.

machine-learning-for-asset-managers icon machine-learning-for-asset-managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

mlfinlab icon mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

photon icon photon

RStudio Add-in to build Shiny apps utilizing the Electron framework

prophet icon prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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