rohitn Goto Github PK
Name: Rohit Namjoshi
Type: User
Location: Austin, Texas, USA
Name: Rohit Namjoshi
Type: User
Location: Austin, Texas, USA
Barnes-Hut t-SNE
[NIPS 2017] Toward Multimodal Image-to-Image Translation
Bluetooth for Mathematica
Resources for Bayesian Models for Astrophysical Data - Hilbe, de Souza and Ishida, 2016, Cambridge University Press
determine local crystalline domains in agglomerates
🤓 Build your own (insert technology here)
A Mathematica package for evaluating Carlson elliptic integrals
A framework for applied category theory in the Julia language
Cool vision, learning, and graphics papers on Cats!
Process Common Crawl data with Python and Spark
Finding correlating concepts with Math Formulas using data scraped from arXiv.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Put ChatGPT in your emacs and give yourself arcane powers 🔮
Blue or Gold? What color really is the dress?
Computational Intelligence Packages (CIP) for Mathematica
Automatic generation of a citation graph of some selected papers by inputting a .bib file exported by Mendeley
This repository contains ClassificaIO, a Python package that provides a graphical user interface (GUI) for machine learning algorithms from scikit-learn.
This is a project to classify the rates of growth of different wolfram models, which consist of rules and initial conditions. Hence, when talking about growth rates, we will be measuring growth rates for particular rules and initial conditions.
Thanks, _why.
This repository records all important source code and raw data used in our research "Distributed Localization Based on Virtual Particle Exchange Method with Applications to Shape Formation of Robot Swarm".
Utilities for testing code equivalence
Parse Wolfram Language source code as abstract syntax trees (ASTs) or concrete syntax trees (CSTs)
A Mathematica package to calculate the Wilson Coefficients of SMEFT operators (up to dimension - 6) to connect some Beyond Standard Model (BSM) theory with weak scale precision observables, using Covariant Derivative Expansion. Works for single and multiple degenerate heavy field propagators, at tree and one-loop level.
Mathematica neural net implementations (uses Mathematica MXNet v11 Machine Learning functionality)
Identifies functions that are commonly used together, retrieving data from the mathematica documentation and other sources.
An NLP workshop about concrete solutions to real problems
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.