Hrayr Harutyunyan (hrayrhar)

hrayrhar

Geek Repo

Location:New York, New York

Home Page:hrayrhar.github.io

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YerevaNN

Hrayr Harutyunyan's starred repositories

mlevn.github.io

ML EVN - Yerevan machine learning community

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aim

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

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armenian-phonetic

Armenian phonetic keyboard layout for Mac OSX. Հայերեն ֆոնետիկ ստեղնաշար Mac OSX-ի համար։

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nnadl_site_hye

Web site for book on "Neural Networks and Deep Learning"

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GPUDashboard

A simple dashboard for NVIDIA GPU

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paperquest

Search through conference proceedings

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mixhop

Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

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echo

Echo Noise Channel for Exact Mutual Information Calculation

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regain

REGAIN (Regularised Graphical Inference)

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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stat212b

Topics Course on Deep Learning UC Berkeley

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mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

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LinearCorex

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

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CorEx

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

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R-NET-in-Keras

Open R-NET (hy` առնետ 🐁) implementation and detailed analysis: https://git.io/vd8dx

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stanfordacm

Stanford ACM-ICPC related materials

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awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

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machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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translit-rnn

Automatic transliteration with LSTM

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CompetitiveProgramming

A collection of algorithms, data structures and other useful information for competitive programming.

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dmn-tensorflow

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

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Improved-Dynamic-Memory-Networks-DMN-plus

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

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ACM_Notebook_new

NUS ICPC Team's Notebook for ACM ICPC World final 2016

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mnistconvnetdemo

Visual Demonstration of Convolutional Network on Famous Mnist Dataset

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OneDarkMaterial

Sublime Text 3 Theme based on Atom.io One Dark UI Theme and created from Material Theme for ST3.

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dmn-ui

UI for Dynamic Memory Networks

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