sketches
There are 151 repositories under sketches topic.
approximatelabs/sketch
AI code-writing assistant that understands data content
CedArctic/DigiSpark-Scripts
USB Rubber Ducky type scripts written for the DigiSpark.
xibyte/jsketcher
Parametric 2D and 3D modeler written in pure javascript
FALCONN-LIB/FALCONN
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
alexandre01/deepsvg
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
generative-design/Code-Package-p5.js
Code package of the book: Generative Design – Creative Coding for the Web with JavaScript in p5.js
manoloide/AllSketchs
Processing sketches, in which I have worked in the last years; images, videos, prototypes, experiments, tools, works, concepts... Everything is unfinished, some may not work, When I had no ideas, I would open one to see what it was...
xlayers/xlayers
✨ Generate code from your design
P5-wrapper/react
A wrapper component that allows you to utilise P5 sketches within React apps.
villares/sketch-a-day
One visual idea a day
WorldFamousElectronics/PulseSensorPlayground
A PulseSensor library (for Arduino) that collects our most popular projects in one place.
RoboUlbricht/arduinoslovakia
Arduino sketches.
val-iisc/deligan
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
val-iisc/sketch-parse
Code, demos and data for SketchParse (a neural network for sketch segmentation). Paper:
will-rowe/genome-sketching
online notebooks for a review of genome sketching
wangqiang9/SketchKnitter
About PyTorch implementation of SketchKnitter: Vectorized Sketch Generation with Diffusion Models, ICLR 2023, Spotlight.
BKHMSI/Sketchback
Keras implementation of sketch inversion using deep convolution neural networks (synthesising photo-realistic images from pencil sketches)
Dev-Tarek/sketched-webpages-generator
Customizable open-source software to generate randomized sketched web-pages.
dynatrace-oss/dynahist
DynaHist: A Dynamic Histogram Library for Java
bullet-db/bullet-core
Bullet is a streaming query engine that can be plugged into any singular data stream using a Stream Processing framework like Apache Storm, Spark or Flink.
P5-wrapper/next
A NextJS specific library for the @P5-Wrapper/react project.
Sorunome/arduino-upload
Atom Package for those who don't like the Arduino IDE
sinAshish/Rough-Sketch-Simplification-Using-FCNN
This is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.
EnviroDIY/EnviroDIY_Mayfly_Logger
hardware design files, example code sketches, and documentation for Arduino-framework EnviroDIY Mayfly data logger
huda-lab/synner
Generating Realistic Synthetic Data
huda-lab/qetch
Qetch is a tool that allows users to freely sketch patterns on a scale-less canvas to query time series data without specifying query length or amplitude.
ethanwharris/STAWM
Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'
XyronLabs/Luna
Create simple visual sketches in Lua using SFML
KrabCode/Sketches
Creative coding sketches made with Java, Processing 3.5.3 and GLSL. Includes a custom GUI that was one of the precursors to LazyGui.
8figalltimepro/Digispark-Payloads
Multiple payloads for the digispark digistump AVR boards. Some are translated from RubberDucky and some are original..
ruby-processing/JRubyArt-examples
Example sketches for JRubyArt
sidward35/DigiSpark-Scripts
USB Rubber Ducky type scripts written for the DigiSpark.
ranaaditya/processing-sketchbook
Open Source Sketchbook written in Processing Language
awmartin/spatialpixel
Computational design toolkit from Spatial Pixel.
cloudflare/cardinality-estimator
A crate for estimating the cardinality of distinct elements in a stream or dataset.