mllpThe code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
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Mutual labels: explainable-ai, xai
ml-fairness-frameworkFairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
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Mutual labels: explainable-ai, xai
zennitZennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Stars: ✭ 57 (+1800%)
Mutual labels: explainable-ai, xai
expmrcExpMRC: Explainability Evaluation for Machine Reading Comprehension
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Mutual labels: explainable-ai, xai
responsible-ai-toolboxThis project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
Stars: ✭ 615 (+20400%)
Mutual labels: ml, explainable-ai
dlime experimentsIn this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
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Mutual labels: explainable-ai, xai
fastshapFast approximate Shapley values in R
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Mutual labels: explainable-ai, xai
concept-based-xaiLibrary implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
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Mutual labels: explainable-ai, xai
hierarchical-dnn-interpretationsUsing / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
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Mutual labels: ml, explainable-ai
mindsdb nativeMachine Learning in one line of code
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Mutual labels: ml, xai
deep-explanation-penalizationCode for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
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Mutual labels: ml, explainable-ai
InterpretFit interpretable models. Explain blackbox machine learning.
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Mutual labels: explainable-ai, xai
mindsdb-examplesExamples for usage of Mindsdb https://www.mindsdb.com/
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Mutual labels: ml, mindsdb
MindsdbPredictive AI layer for existing databases.
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Mutual labels: ml, explainable-ai
OneflowOneFlow is a performance-centered and open-source deep learning framework.
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Mutual labels: ml
Books整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。
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Mutual labels: ml
MmlsparkSimple and Distributed Machine Learning
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Mutual labels: ml
CoaltonCoalton is (supposed to be) a dialect of ML embedded in Common Lisp.
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Mutual labels: ml
FlambeAn ML framework to accelerate research and its path to production.
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Mutual labels: ml