andrewolal Goto Github PK
Name: Andrew D Olal
Type: User
Location: Vancouver, Canada
Name: Andrew D Olal
Type: User
Location: Vancouver, Canada
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
Skin cancer detection project
This repository is part of a "Space Science with Python" tutorial series. The corresponding articles that explain each part are available on Medium (https://medium.com/@thomas.albin). If you do not have a Medium account, please visit my posts on Reddit, to get the free available Medium friend links (https://www.reddit.com/user/MrAstroThomas).
Explore rearrangements and copy-number amplifications in a cancer genome
Notes and exercise attempts for "An Introduction to Statistical Learning"
Statsmodels: statistical modeling and econometrics in Python
Stock Trading Model using Q Learning
Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
This is a sudoku solver using the backtracking algorithm. It includes a graphical GUI as well as a text based version.
Python code implementing the power method for Singular Value Decomposition
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
A library for easy and efficient manipulation of tensor networks.
https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/blob/master/General-Machine-Learning/The%20Hundred-Page%20Machine%20Learning%20Book%20by%20Andriy%20Burkov/Links%20to%20read%20the%20chapters%20online.md
Code repository for Think Bayes.
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
Text and supporting code for Think Stats, 2nd Edition
Small automatic differentiation package for scalars.
Turi Create simplifies the development of custom machine learning models.
Various Python so I can get it wherever I am. Nothing important or interesting to anyone else!
🐳 The stupidly simple data discovery tool.
Important concepts in numerical analysis and related areas
The Machine Learning & Deep Learning Compendium is an open knowledge-sharing project compiled using Gitbook.
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.