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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

aix360

Interpretability and explainability of data and machine learning models

ast

Adversarial Sparse Transformer for Time Series Forecasting

claimed

delta

This connector allows Apache Spark™ to read from and write to Delta Lake.

elyra

Elyra extends JupyterLab with an AI centric approach.

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

fnn

Embed strange attractors using a regularizer for autoencoders

jointbert

This repository contains the code and data download links to reproduce the experiments of the PVLDB paper "Dual-Objective Fine-Tuning of BERT for Entity Matching" by Ralph Peeters and Christian Bizer.

kubernetes

Production-Grade Container Scheduling and Management

lab-agile-planning

lime

Lime: Explaining the predictions of any machine learning classifier

mslearn-dp100

Lab files for Azure Machine Learning exercises

murders

neuralcde

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

python-scripts

r-scripts

shap

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

spark-scripts

stripe

Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"

test_r_github_connection

Repo to test the connection between R and GitHub

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ts-interpretability-benchmark

zingg

Scalable identity resolution, entity resolution, data mastering and deduplication using ML