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Kevin Compher's Projects

adam icon adam

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.

adv_fin_ml_exercises icon adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

ago-admin-wiki icon ago-admin-wiki

A collection of code samples, scripts, hacks, tools, and information for ArcGIS Online administrators.

alphapy icon alphapy

Automated Machine Learning [AutoML] for Python

amlds icon amlds

'Aligned mixture of latent dynamical systems' (amLDS) for stimulus decoding probabilistic manifold alignment across animals. P. Herrero-Vidal et al. NeurIPS 2021 code.

animated-fiesta icon animated-fiesta

Performs nearest neighbor degrees of centrality analysis on use cases

aphelion icon aphelion

Aphelion is a web application that captures and visualizes your AWS services usage limits. It continuously collects data in the background and you can visualize the data in easy-to-see graphs and charts.

appmode icon appmode

A Jupyter extensions that turns notebooks into web applications.

arrow icon arrow

Apache Arrow is a columnar in-memory analytics layer designed to accelerate big data. It houses a set of canonical in-memory representations of flat and hierarchical data along with multiple language-bindings for structure manipulation. It also provides IPC and common algorithm implementations.

auto_ts icon auto_ts

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

automatic-stock-report icon automatic-stock-report

Explainable Bayesian Models for Smooth Time Series Datasets (부드러운 시계열 함수를 설명하는 베이지안 추론 SW)

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

aws-data-lake-solution icon aws-data-lake-solution

A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically configures the core AWS services necessary to easily tag, search, share, and govern specific subsets of data across a business or with other external businesses.

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