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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

clipper

a working repo for https://sourceforge.net/p/polyclipping/ this, is not a fork, go there for the projet !

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

creative-coding-notes

Some text and links about the wide world of creative coding

deeplearning

Notes of deeplearning

draw.io-files

example-code

Example code for the book Fluent Python

generativedesign

geometry3sharp

C# library for 2D/3D geometric computation, mesh algorithms, and so on. Boost license.

gitignore

A collection of useful .gitignore templates

illustrated-csharp-5

k2goals

Example Goals for use with the Kangaroo2 solver

leaf

Leaf is a Grasshopper plugin that enables L-systems, and a 3D interpreter inside Grasshopper for Rhino.

leafmodeling

The goal of this project is to generate realistic .OBJ file of leaves. Especially the venation pattern

oi-icpc-codes

Solutions to OI / ICPC problems.

packing

benchmark solutions for selected packing problems: circle, rectangle, cube, cuboid, polygon packings

pgs

Processing Geometry Suite

physics2d-testbed-sfml

The Testbed of Physics2D, based on SFML and ImGui

plankton

A C# half-edge mesh data structure, and components for using this in Grasshopper/Rhino

practicalai

A practical approach to learning machine learning.

procedural-painting

Procedural painting algorithms in Unity 3d with compute shaders based on genetic evolution algorithms

projecttemplate

A little quick-start project template for C++ projects which utilise a Core/App project architecture

pycon

python之坑（python学习中的知识点）

quads

Computer art based on quadtrees.

revittoolkit

Toolkit for Revit plugin development

rhino-developer-samples

Rhino and Grasshopper developer sample code

squisher

A plugin to use Squisher functions from within Grasshopper.

starwar-visualization

data analysis and visualization of knowledge graph for star war movies

the-algorithms---python

All Algorithms implemented in Python

the-nature-of-code

My exercise of The book <<The Nature Of Code>> by daniel shiffman.