Open Data Foundation
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AIF360
AIF360 PublicForked from Trusted-AI/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.
Python
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AIX360
AIX360 PublicForked from Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
Python
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shotlooter
shotlooter PublicForked from utkusen/shotlooter
a recon tool that finds sensitive data inside the screenshots uploaded to prnt.sc
Python
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deeplearning-models
deeplearning-models PublicForked from rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
Jupyter Notebook
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sktime
sktime PublicForked from sktime/sktime
A scikit-learn compatible Python toolbox for machine learning with time series
Python
Repositories
- awesome-earthobservation-code Public Forked from acgeospatial/awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
- hydrofunctions Public Forked from mroberge/hydrofunctions
A suite of convenience functions for working with hydrology data in an interactive Python session.
- PaddleOCR Public Forked from PaddlePaddle/PaddleOCR
Awesome OCR toolkits based on PaddlePaddle (3.5M practical ultra lightweight OCR system, support training and deployment among server, mobile, embedded and IoT devices)
- faiss Public Forked from facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
- igel Public Forked from nidhaloff/igel
a machine learning tool that allows to train, test and use models without writing code
- streamlit Public Forked from streamlit/streamlit
Streamlit — The fastest way to build data apps in Python
- azure-spatial-anchors-samples Public Forked from SatoshiRobatoFujimoto/azure-spatial-anchors-samples
Azure Spatial Anchors sample code
- nni Public Forked from microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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