Arie Wahyu Wijayanto's repositories

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

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AnomalyDetection

Anomaly Detection with R

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APGL

This project develops a simple, fast and easy to use Python graph library using NumPy, Scipy and PySparse.

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BinaryConnect

Training Deep Neural Networks with binary weights during propagations

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Deep-Graph-Kernels

Deep Graph Kernels

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DeepLearningOnGraph

Use a CNN to segment and classify 3d meshes

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DropNeuron

DropNeuron: Simplifying the Structure of Deep Neural Networks

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char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

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char_rnn_karpathy_keras

Language modellling using RNNs

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data_science_course

Scientific computing using Python, IPython and Scikits.

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DeepKGC

Scalable Representation Learning Models for Knowledge Graph Completion

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DeepLearningMovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

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deepwalk

DeepWalk - Deep Learning for Graphs

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GraphPruning

Package for "pruning" weighted complex networks based on the Marginal Likelihood Filter.

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jos-gender-2014

Software for the paper "Gender and Lexical Variation in Social Media" with David Bamman and Tyler Schnoebelen

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KerasDeepWalk

Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Theano

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langchangetrack

Package for Statistically significant linguistic change

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multinetx

multiNetX is a python package for the manipulation and visualization of multilayer networks. It is build on NetworkX (https://networkx.github.io/)

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Mutual-Information

In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual dependence of the two random variables. This script performs MI over Mutual Information over discrete random variables

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neural-network-pruning

A web application using the neural network pruning algorithm developed by Henrik Saxén and Frank Petterson. The purpose of the application is to use measured from any system and identify which of the measurements that are useful to describe the state of the system.

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NN-prunining

pruning of multilayer perceptron networks using approach described in http://link.springer.com/chapter/10.1007/978-3-319-11656-3_2

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pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

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python-re-scrap

Article Scrapper for Times of India (still under construction)

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researchpooler

Automating research publications discovery and analysis. For example, ever wish your computer could automatically open papers that are most similar to a paper at an arbitrary url? How about finding all papers that report results on some dataset? Let's re-imagine literature review.

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scraper

Scrapes sites. Gets news. Eventually events.

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Theano

Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python

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word2gauss

Gaussian word embeddings

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