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Name: Andrew McMahon
Type: User
Bio: Head of MLOps at a leading financial institute. Data Scientist & Machine Learning Engineer. Author of Machine Learning Engineering with Python, Packt.
Twitter: electricweegie
Name: Andrew McMahon
Type: User
Bio: Head of MLOps at a leading financial institute. Data Scientist & Machine Learning Engineer. Author of Machine Learning Engineering with Python, Packt.
Twitter: electricweegie
Core ALPS libraries
Repo for me to play with different anomaly detection techniques.
A curated list of awesome Python frameworks, libraries, software and resources
Sam init example for MLEIP book
csharp machine learning playground
Beer Drinking Data Vizualization using dc.js, Crossfilter, and Leaflet
This is a reading list for deep learning for OCR
Materials I've developed as I play around with DSPY
Python tool for managing muti-channel data/signals with events/epochs using Pandas
The ESPResSo package
Ewald summation program for computing the long range Coulomb interactions in 3D Periodic systems
A restful API with flask for Google App Engine
My playground for F# scripts and apps.
Machine learning predictions of house prices using UK land registry data.
HyPerCarlo is a Monte Carlo lattice simulator for Hybrid Perovskites. This was inspired by Jarvist Frost's StarryNight code: http://pubs.acs.org/doi/abs/10.1021/nl500390f, "Atomistic Origins of High-Performance in Hybrid Halide Perovskite Solar Cells". Nano Lett., 2014, 14 (5), pp 2584–2590. However, I wanted to write my own lattice simulator with nice classes etc. The main reason I wanted to do this was to make a nice, clean code that I could use for a wide variety of models extending beyond hybrid perovskites. I.e anything with a lattice-Hamiltonian. I also want to eventually let users specify their own lattice Hamiltonians in input files, however in initial stages these will be hard-coded in. Note: I want this model to treat longer range interactions in a more rigorous manner so I will need to use an algorithm along the lines of http://csml.northwestern.edu/resources/Preprints/mclr.pdf. Andrew P. McMahon, Theory and Simulation of Materials, Imperial College London. Code was begun on 25/1/2016
Kaggle santander value competition - https://www.kaggle.com/c/santander-value-prediction-challenge#description
Source code for blog post: Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python
Kaggle house prices competition.
A kinetic Monte Carlo Python/C++ library.
Materials for my own learning on LLMs and LLMOps.
Looking at ml for trading.
Ray code snippets for the 2nd edition of the ML Engineering with Python book.
First stab at creating basic neural net.
Short python script to read in a molecular structure and calculate the three principal moments of intertia of the molecule. This is useful for thermodynamic calculations.
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.