r2rahul Goto Github PK
Name: Rahul
Type: User
Company: Quant Data Scientist
Bio: Data to Model Deployment & MLops | ML explain-ability | Alpha Strategy & Portfolio Construction | Hyper-parameter optimization
Location: Heidelberg Germany
Name: Rahul
Type: User
Company: Quant Data Scientist
Bio: Data to Model Deployment & MLops | ML explain-ability | Alpha Strategy & Portfolio Construction | Hyper-parameter optimization
Location: Heidelberg Germany
Research project
Julia implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A curated list of awesome F# frameworks, libraries, software and resources.
A list of recommended research papers and other readings on data visualization
fast.ai Courses
This repository contains programming assignments or codes written to complete various Massive Open Online Courses
An open-source JavaScript graph theory library for analysis and visualisation (compatible with CommonJS/Node.js, AMD/Require.js, jQuery 1.4+, Bower, npm, and plain JavaScript)
A JavaScript visualization library for HTML and SVG.
Responsive dashboard templates for Bootstrap 📊✨
Data Structure And Algorithmic Thinking With Python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
The repository has the codes to identify co-linear (linearly dependent columns in a data) using linear algebra techniques.
(formely visbio) Visualizations for systems biology.
Various examples for different articles
A light weight exploratory data analysis tool using data.table in R.
Convert Fama-French 49 Industry Classification text file into Tabular Format
R implementation of M Brand, Fast Online SVD Revisions for Lightweight Recommender Systems.
ML models to predict the outcome of an Overwatch game
It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.
Truncated SVD by implicitly restarted Lanczos bidiagonalization for Python Numpy
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
The source code for MCELL model.
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
🖊️ Dynamically Highlight Text in Shiny
Comparing and merging metabolic models.
code from the s/t book which goal is to gather in a single document the most relevant concepts related to modern optimization methods or metaheuristics (e.g. simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization), showing how such concepts and methods can be addressed using the open source R tool.
A global, black box optimization engine for real world metric optimization.
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.