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Simon Frost's Projects

crf.jl icon crf.jl

Conditional Random Fields in Julia

crfasrnn icon crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

crfsuite icon crfsuite

Various Extensions to the CRF Model (tree-structured, higher order, and semi-Markov CRFs)

crosscat icon crosscat

A domain-general, Bayesian method for analyzing high-dimensional data tables

ctsmc_movement icon ctsmc_movement

Analysis of northern fur seal pup migration using a continuous-time semi-Markov chain movement model

cutprimers icon cutprimers

curPrimers is a tool for trimming primer sequences from amplicon based NGS reads

damds icon damds

MPI Implementation of WDA-SMACOF

dapper icon dapper

Data Assimilation with Python: a Package for Experimental Research (DAPPER)

datasketch icon datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++

dcnet icon dcnet

DCNet — Denoising (DNA) Sequence With a LSTM-RNN and PyTorch

dde_solver icon dde_solver

Shampine and Thompson's DDE_SOLVER, a Fortran library for delay differential equations.

decombinator icon decombinator

Fast, efficient tool for analysis of T cell receptor repertoires

deepri icon deepri

Predicting ncRNA-protein interaction using high-level features from stacked autoencoder

denguedeep icon denguedeep

Apply deep learning to predict dengue mosquito outbreaks

denmod icon denmod

Dengue transmission model and mosquito life cycle models (DENSiM and CIMSiM)

denoisingautoencoder icon denoisingautoencoder

Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation

dfa icon dfa

Detrended Fluctuation Analysis

dotmap icon dotmap

dotmap based on http://bmander.com/dotmap/index.html

dotmapper icon dotmapper

Python code for creating a dataset and HTML/Javascript client for a dot density map for more or less any set of shapefiles and csv attributes.

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