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Name: Simon Frost
Type: User
Company: Microsoft
Bio: Principal Data Scientist, Microsoft Health; Professor of Pathogen Dynamics, LSHTM
Twitter: sdwfrost
Location: Redmond, WA, USA
Name: Simon Frost
Type: User
Company: Microsoft
Bio: Principal Data Scientist, Microsoft Health; Professor of Pathogen Dynamics, LSHTM
Twitter: sdwfrost
Location: Redmond, WA, USA
Conditional Random Fields in Julia
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/
Various Extensions to the CRF Model (tree-structured, higher order, and semi-Markov CRFs)
A sample implementation of variable-order linear-chain CRF.
Statistic-driven micro-benchmark framework
A domain-general, Bayesian method for analyzing high-dimensional data tables
Analysis of northern fur seal pup migration using a continuous-time semi-Markov chain movement model
A easy to understand Neighbor Joining algorithm made with CUDA
curPrimers is a tool for trimming primer sequences from amplicon based NGS reads
Contains all examples of our "Interactive & Dynamic Force-Directed Graphs with D3" blog post
A re-implementation of d3-force with WebAssembly.
MPI Implementation of WDA-SMACOF
Data Assimilation with Python: a Package for Experimental Research (DAPPER)
Data frames for Rust
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++
DCNet — Denoising (DNA) Sequence With a LSTM-RNN and PyTorch
Shampine and Thompson's DDE_SOLVER, a Fortran library for delay differential equations.
Fast, efficient tool for analysis of T cell receptor repertoires
Predicting ncRNA-protein interaction using high-level features from stacked autoencoder
Apply deep learning to predict dengue mosquito outbreaks
Dengue transmission model and mosquito life cycle models (DENSiM and CIMSiM)
Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
Detrended Fluctuation Analysis
Tutorials for using the DiffEq ecosystem
Regularized discriminant analysis in Julia.
Random numbers and distributions for Nim
dotmap based on http://bmander.com/dotmap/index.html
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.