mosayed Goto Github PK
Name: Mo Sayed
Type: User
Bio: Explorer
Location: UK
Blog: mosayed.github.io
Name: Mo Sayed
Type: User
Bio: Explorer
Location: UK
Blog: mosayed.github.io
Machine learning Fantasy Premier League team
Exploratory analysis of Bayesian models with Python
A compiler for Bayesian time series models.
Replication for Shinkage in Bayesian Dynamic Linear Models
A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
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.
A Python framework for creating reproducible, maintainable and modular data science code.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Data Efficient Decision Making
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Learn Pyro through the M5 forecasting competition
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
fit parametric survival models using rstan
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.