campbell-2589 Goto Github PK

applied-time-series-analysis-with-r

Time Series Analysis : Text Time Series Analysis And Applications by R. Shumway & D. Stoffer

arbitrary-precision-analytics

Example - Boost NTL integration for arbitrary precision calculations

bayes-db-notes

Some notes on Bayesian database technology.

beamer-presentations

brucebcampbell

btb

A simple, extensible library for developing AutoML systems

carstan

Conditional autoregressive models in Stan

cpp-linalg-libs

Linear Algebra Libs used by the kl matrix and image processing libraries - THESE ARE BEING PORTED TO CMAKE / LINUX

ds_devops

Data science devops

example-models

Example models for Stan

featuretools

An open source python framework for automated feature engineering

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

intro-statistical-learning

Worked Problems In R from An Introduction to Statistical Learning Textbook by Robert Tibshirani and Trevor Hastie

klimagecore

High Performance C++ Image Processing Library. Uses Intel Compiler and IPP libraries. LINUX PORT UNDER WAY

klmatrixcore-bak

matrix library

knitr_case_studies

Inference case studies in knitr

linear-algebra-convex-opt

Numerical Libraries; Arpack, UMFPACK, sdpa . Windows x64 ports using Intel Compiler. This repository is under active development.

lme4

Mixed-effects models in R using S4 classes and methods with RcppEigen

mlblocks

A library for composing end-to-end tunable machine learning pipelines.

mlflow

Open source platform for the machine learning lifecycle

mlprimitives

Machine Learning Primitives for MLBlocks

neural-networks-1990s

Neural Network work from the 1990's

nlp-modelling

Topic Modelling and Document Calssification

octopress

pymanopt

Python toolbox for optimization on manifolds with support for automatic differentiation

rethinking_notes

sigpy-toolbox

Signal and Time Series Toolbox

spark-maven-archetypes

Maven Archetypes for Spark - Scala and Java

stds

Selected Topics In Data Science