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https://harvard-iacs.github.io/2019-CS109A/
Course materials for Applied Machine Learning course in 2019 in London
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Code and examples for the book "Analysis and Presentation of Experimental Results"
curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
A collection of resources for pandas (Python) and related subjects.
:microscope: Path to a free self-taught education in Bioinformatics!
Book resources for Beyond Spreadsheets with R
Intro to Python bootcamp at Booster Total, Paris, June 9, 2017
Course Files for Complete Python 3 Bootcamp Course on Udemy
:mortar_board: Path to a free self-taught education in Computer Science!
Config files for my GitHub profile.
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
All of the figures and notebooks for my deep learning book, for free!
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets
Open source book: Geocomputation with R
Introduction to statistics for (geo)scientists
Bivariate kernel density estimate plotter created for Sundell et al. (2019) in Andean Tectonics
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
An alternative to Isoplot written in R
Kernel Density Estimation in Python
Tools for the reproducible reduction of LA-ICPMS data.
Code examples for Learning Java, 5e by Marc Loy, Patrick Niemeyer, and Daniel Leuck
LLM101n: Let's build a Storyteller
teaching material for the book "Modeling Uncertainty in the Earth Sciences", Jef Caers, 2011.
MTEX is a free Matlab toolbox for quantitative texture analysis. Homepage:
A great intro dataset for data exploration & visualization (alternative to iris).
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.