Chirayu (Kong) Wongchokprasitti (chirayukong)

chirayukong

Geek Repo

Company:Department of Biomedical Informatics, University of Pittsburgh

Location:Boston, MA

Home Page:https://scholar.google.com/citations?user=qocWAmwAAAAJ&hl=en

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Chirayu (Kong) Wongchokprasitti's repositories

archlinux-docker

Arch Linux Docker base image build setup using bootstrap tarball.

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boilerpipe

Work in progress transmit from Google Code

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bulbea

Deep Learning based Python Library for Stock Market Prediction and Modelling

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coding-interview-university

A complete computer science study plan to become a software engineer.

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DeepLearningForNLPInPytorch

An IPython Notebook tutorial on deep learning, with an emphasis on Natural Language Processing

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DeepLearningProject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

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deepstream.io

deepstream.io server

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densecap

Dense image captioning in Torch

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dnc

A TensorFlow implementation of the Differentiable Neural Computer.

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FALCONN

FAst Lookups of Cosine and Other Nearest Neighbors

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fastText.py

A Python interface for Facebook fastText

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generating-reviews-discovering-sentiment

Code for "Learning to Generate Reviews and Discovering Sentiment"

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GraphvizOnline

Let's Graphviz it Online

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lectures

Oxford Deep NLP 2017 course

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mrpt

Approximate Nearest Neighbour Search with Multiple Random Projection Trees

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nmslib

Non-Metric Space Library (NMSLIB): A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

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nmt

TensorFlow Neural Machine Translation Tutorial

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oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

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pysparnn

Approximate Nearest Neighbor Search for Sparse Data in Python!

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RCIT

The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)

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SparseConvNet

Submanifold sparse convolutional networks

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spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

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struct-attn

Code for Structured Attention Networks https://arxiv.org/abs/1702.00887

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triviaqa

Code for the TriviaQA reading comprehension dataset

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visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

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