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Name: Austin Shank
Type: User
Name: Austin Shank
Type: User
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Automatic color balancing algorithm. Rumor has it this is very similar to Photoshop's process.
A repo for holding example code
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition using Pytorch
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
This repository contains implementations and illustrative code to accompany DeepMind publications
Learning nonlinear operators via DeepONet
implementation of paper [DeepTag: A General Framework for Fiducial Marker Design and Detection]
A library for scientific machine learning and physics-informed learning
A deep-learning model is implemented to classify utility pole survey images with an overall accuracy of over 96%.
Camera calibration with sub-pixel accuracy: https://discorpy.readthedocs.io/
PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Using GANs to embed simple functions.
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
Python implementation of IEEE 738-2012 for calculating the current-temp of bare overhead conductors
Instant neural graphics primitives: lightning fast NeRF and more
Pure Javascript porting of ArUco, a library for camera pose estimation using squared markers
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Implementation of "Large Steps in Inverse Rendering of Geometry"
An extensive math library for JavaScript and Node.js
Homework for the first half of MECE 415 - Finite Element Analysis.
Implementation and example problems from the method proposed in the "Artificial Neural Networks for Solving Ordinary and Partial Differential Equations" paper.
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.