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Name: Nathan
Type: User
Company: EngineeroLabs
Bio: :(){ : | :& };:
Location: USA
Name: Nathan
Type: User
Company: EngineeroLabs
Bio: :(){ : | :& };:
Location: USA
Adaptive Synthetic Sampling Approach for Imbalanced Learning
Code and hyperparameters for the paper "Generative Adversarial Networks"
Machine learning, statistics, and data mining for astronomy and astrophysics
A Python implementation of global optimization with gaussian processes.
Bayes Net Toolbox for Matlab
Analysis files for research burner data. Data files not included.
Code to simulate research burner and controller.
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Anaconda environment yaml definition files.
Configuration files, like bashrc, vimrc, and fish functions.
Jupyter notebook for couch surfing presentation on Siamese neural networks
[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking
Using Deep Autoencoders for predictions of movie ratings.
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
A simulated enigma machine.
Protocol buffer for the FITS astronomical data file format
An artificial bee colony implementation in Python
Tutorial for installing Open XDMoD, OnDemand, & ColdFront
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Deep Learning for humans
Keras Generative Adversarial Networks
Implementation of IndRNN in Keras
Residual networks implementation using Keras-1.0 functional API
Test and control software for running my research burner, collecting data, and running various control algorithms. Written in LabVIEW.
Python module for multiple hypothesis tracking.
Useful programs for orbital mechanics
A TensorFlow implementation of Port-Hamiltonian neural networks
Latex code for making neural networks diagrams
Port-Hamiltonian Approach to Neural Network Training
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.