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addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

alfredr

amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazon-sagemaker-notebook-instance-lifecycle-config-samples

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

amen

R package for analysis of network and dyadic data

classificationcat

dc_properties

Companion code for the DC Property Assessments data featured in ECOG314 Lecture 7 (Fall 2016). Includes a Python scraper and minimal data cleaning in R.

dirichletportfolioallocation

dotnetworks

Exploring dynamic trade networks using IMF's Direction of Trade (DOT) data.

ecog_314

ECOG-314 Expository Data Analysis with R

from-r-to-scala

glasso

This is a fork of the official R glasso package v1.8 — Graphical lasso- estimation of Gaussian graphical models. Homepage: http://www-stat.stanford.edu/~tibs/glasso

hark

Heterogenous Agents Resources & toolKit

kaggler

A small R toolkit for Kaggle competitions and general use

lime

Lime: Explaining the predictions of any machine learning classifier

mailtopics

Exploring topic models using imap mailboxes

marketsim

Code for agent-based simulation in Trading Networks (Adamic et al., 2017)

matrix-bench

Single machine matrix benchmarks to compare various implementations

operators

Additional binary operators

shap

A unified approach to explain the output of any machine learning model.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

tsdiff

A persistent data structure for time series vintages