These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Origin
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SubmitEticas Bias
TechnicalUnited StatesUploaded on Mar 24, 2025An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models. This library provides a comprehensive set of tools to ensure transparency, accountability, and ethical AI development.
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robuststl
TechnicalKoreaUploaded on Apr 29, 2024Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
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vit-explain
TechnicalIsraelUploaded on Apr 22, 2024Explainability for Vision Transformers
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Verify & validateBuild & interpret modelCollect & process dataPlan & designwildbook
TechnicalUnited StatesUploaded on Apr 22, 2024Wild Me's first product, Wildbook supports researchers by allowing collaboration across the globe and automation of photo ID matching
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designyopo-you-only-propagate-once
TechnicalUnited StatesUploaded on Apr 22, 2024Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designThe Citrusx Platform
TechnicalProceduralIsraelUploaded on Apr 11, 2024Citrusx offers a multifaceted solution to connect all stakeholders in the company through an SDK, user-friendly UI, and automated reporting system.
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lime
TechnicalUploaded on Apr 3, 2024Lime: Explaining the predictions of any machine learning classifier
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designsteal-ml
TechnicalUploaded on Apr 2, 2024Model extraction attacks on Machine-Learning-as-a-Service platforms.
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designstock-analysis-engine
TechnicalUploaded on Apr 2, 2024Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
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Collect & process datatensorflow-course
TechnicalUnited StatesUploaded on Apr 2, 2024:satellite: Simple and ready-to-use tutorials for TensorFlow
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Collect & process datatensorwatch
TechnicalUnited StatesUploaded on Apr 2, 2024Debugging, monitoring and visualization for Python Machine Learning and Data Science
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designtflearn
TechnicalUploaded on Apr 2, 2024Deep learning library featuring a higher-level API for TensorFlow.
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designultralytics
TechnicalUnited StatesUploaded on Apr 2, 2024NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designpytorchnlpbook
TechnicalUploaded on Dec 15, 2023Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
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Collect & process dataUnsupervised Learning for anomaly detection in options pricing
TechnicalSingaporeUploaded on Dec 15, 2023In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designpytorchzerotoall
TechnicalThailandUploaded on Dec 15, 2023Simple PyTorch Tutorials Zero to ALL!
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qdrant
TechnicalGermanyUploaded on Dec 15, 2023Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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Mathematical foundation of Reinforcement Learning
TechnicalChinaUploaded on Dec 15, 2023This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designDeep Reinforcement Learning Agents
TechnicalUnited StatesUploaded on Dec 15, 2023A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & designEfficientFormerV2
TechnicalUploaded on Dec 15, 2023EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
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Operate & monitorDeployVerify & validateBuild & interpret modelCollect & process dataPlan & design