chrisdissanayake Goto Github PK
Name: bobloblawlawblog
Type: User
Location: Minneapolis
Name: bobloblawlawblog
Type: User
Location: Minneapolis
Contributions to the #30DayChartChallenge
Website sources for Applied Machine Learning for Tabular Data
A non-parametric Bayesian approach to Hidden Markov Models
Biostatistics for Biomedical Research
catch-22: CAnonical Time-series CHaracteristics
BioCPPNet: Automatic Bioacoustic Source Separation with Deep Neural Networks
Code from live exploratory analyses of data in R
Clone to try a simple Electron app
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
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.
Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
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.
Learning based Model Prodictive Control for online iterative trajectory optimization for F1/10 autonomous racing.
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 helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
3D files of a famous comics character moon rocket
Python scripts connected to Strogatz's nonlinear dynamics and chaos theory text.
RStudio Add-in to build Shiny apps utilizing the Electron framework
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Read and analyze surface topographies
Time series features
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.