Scott (locklin)

locklin

Geek Repo

Company:Club Tropical Excellent

Location:Eumeswil

Home Page:scottlocklin.wordpress.com

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Scott's repositories

iron-sheik-code-conduct

A code of conduct for open source projects based on Iron Sheik sayings

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j-zeromq

j-zeromq

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j-cluster

hierarchical clustering for J

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PRMLT

Pattern Recognition and Machine Learning Toolbox

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sbir-history

some history of SBIR rfps I've collected

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awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.

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awesome-q

A curated collection of q software

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blackbird

Blackbird Bitcoin Arbitrage: a long/short market-neutral strategy

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contracts

A bin for all the contracts we do

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google-research

Google Research

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interest-dashboard

Firefox Interest Dashboard provides a colorful and interactive view of your interests based on your browsing history.

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j-mode

Emacs major mode for editing J code.

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j-wavelet

wavelets for J. fast, but unfinished

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jtags

attempted revival of J's jtags thingee

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libcp

LibCP -- A Library for Conformal Prediction

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libvm

LibVM -- A Library for Venn Machine

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lopq

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

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monument-experiments

messing with monument.ai's runtime

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msgpack-octave

this is a fork of Yida Zhang's msgpack-matlab so it compiles with octave; calling it this for search reasons

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node.bittrex.api

Node Bittrex API is an asynchronous node.js library for the Bittrex API, the data can be received either via GET request or Stream.

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opera

Online Prediction by ExpeRt Aggregation

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Product-Quantilization

The implementation of the paper " Product quantization for nearest neighbor search"

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product-quantization

product quantization image processing algorithm with matlab

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Product-Quantization-Tree

GPU-based large scale Approx. Nearest Neighbor Search (CVPR2016)

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q-reference-card

a cheat sheet for Kx systems Q product which I've been using lately

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RPLSH

Kmeans Quantization + Random Projection based Locality Sensitive Hashing

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skinny-dip

Code and supplementary material from the KDD 2016 paper "Skinny-dip: Clustering in a sea of noise" by Samuel Maurus and Claudia Plant.

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