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18s096

18.S096 three-week course at MIT

2020-election-night-model

2020-election-night-model

2023-07-nyr

Talk: The Post-Modeling Model to Fix the Model

4theta

Generalizing the Theta method for automatic forecasting

ace

Python package for performing the Alternating Conditional Expectation (ACE) regression

ace_algorithm

Alternating Conditional Expectations(ACE)

acp

Approximate Full Conformal Prediction

acpi

Adaptive Conformal Prediction Intervals (ACPI) By Reweighting Nonconformity Score

action

Show a helpful summary of test results in GitHub Actions CI/CD workflow runs

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

adagan

AdaGAN: greedy iterative procedure to train mixtures of GANs

adaptiveconformal

R package for Adaptive Conformal Inference

adaptiveconformalpredictionstimeseries

adaptiveenbmimocqr

adase_toolkit

A library of utilities and tools for doing machine learning and TDA developed at ADASE

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.

adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

adv-financial-ml-marcos-exercises

Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado

adv_fin_ml_exercises

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

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarialnetspapers

The classical papers and codes about generative adversarial nets

aequilibrium

Package designed for handling imbalanced classification

ahead_python

Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)

ai-nanodegree

Project solutions for Udacity's AI Nanodegree Program

aiai

Alexandra Institute Artificial Intelligence, a Python package for Danish data science.

aidc-2018-timeseries

Deep learning for time-series data

ainanodegree

Udacity's Artificial Intelligence Nanodegree Projects

aind-isolation

aind-projects

Artificial Intelligence Nanodegree Projects