Giter Club home page Giter Club logo

coridon's Projects

aml-london-2019 icon aml-london-2019

Course materials for Applied Machine Learning course in 2019 in London

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

aper icon aper

Code and examples for the book "Analysis and Presentation of Experimental Results"

awesome-earthobservation-code icon awesome-earthobservation-code

curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

awesome-open-geoscience icon awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

awesome-pandas icon awesome-pandas

A collection of resources for pandas (Python) and related subjects.

bioinformatics icon bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

book icon book

Book resources for Beyond Spreadsheets with R

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

coridon icon coridon

Config files for my GitHub profile.

datasciencecourse icon datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

geocompr icon geocompr

Open source book: Geocomputation with R

geostats icon geostats

Introduction to statistics for (geo)scientists

hafniumplotter icon hafniumplotter

Bivariate kernel density estimate plotter created for Sundell et al. (2019) in Andean Tectonics

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kdepy icon kdepy

Kernel Density Estimation in Python

latools icon latools

Tools for the reproducible reduction of LA-ICPMS data.

learnjava5e icon learnjava5e

Code examples for Learning Java, 5e by Marc Loy, Patrick Niemeyer, and Daniel Leuck

mtex icon mtex

MTEX is a free Matlab toolbox for quantitative texture analysis. Homepage:

palmerpenguins icon palmerpenguins

A great intro dataset for data exploration & visualization (alternative to iris).

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.