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The Top 23 Python Interpretability Open Source Projects

Open source projects categorized as Python Interpretability
Categories > Machine Learning > Interpretability
Pytorch Grad Cam ⭐ 8,723
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
dependent packages 10total releases 28most recent commit 4 months agopypi grad-cam} Downloads
Captum ⭐ 4,393
Model interpretability and understanding for PyTorch
dependent packages 59total releases 10most recent commit 3 months agopypi captum} Downloads
Awesome Machine Learning Interpretability ⭐ 3,241
A curated list of awesome responsible machine learning resources.
most recent commit 3 months ago
Stellargraph ⭐ 2,768
StellarGraph - Machine Learning on Graphs
dependent packages 6total releases 24most recent commit 7 months agopypi stellargraph} Downloads
Shapash ⭐ 2,547
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
dependent packages 2total releases 37most recent commit 3 months agopypi shapash} Downloads
Alibi ⭐ 2,257
Algorithms for explaining machine learning models
dependent packages 17total releases 31most recent commit 3 months agopypi alibi} Downloads
Torch Cam ⭐ 1,695
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
dependent packages 3total releases 9most recent commit 3 months agopypi torchcam} Downloads
Dalex ⭐ 1,242
moDel Agnostic Language for Exploration and eXplanation
dependent packages 24total releases 29most recent commit 7 months ago
Imodels ⭐ 1,229
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
dependent packages 4total releases 44most recent commit 4 months agopypi imodels} Downloads
Tf Explain ⭐ 934
Interpretability Methods for tf.keras models with Tensorflow 2.x
dependent packages 7total releases 8most recent commit 2 years agopypi tf-explain} Downloads
Ad_examples ⭐ 738
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.
most recent commit 2 years ago
Decision Forests ⭐ 635
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
dependent packages 5total releases 33most recent commit 3 months agopypi tensorflow-decision-forests} Downloads
Interpretable_machine_learning_with_python ⭐ 629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
most recent commit a year ago
Deeplift ⭐ 584
Public facing deeplift repo
dependent packages 6total releases 13most recent commit 2 years agopypi deeplift} Downloads
Xplique ⭐ 522
👋 Xplique is a Neural Networks Explainability Toolbox
total releases 3most recent commit 4 months ago
Facet ⭐ 483
Human-explainable AI.
total releases 27most recent commit 5 months ago
Neural Backed Decision Trees ⭐ 445
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
most recent commit 3 years ago
Rome ⭐ 437
Locating and editing factual associations in GPT (NeurIPS 2022)
most recent commit 5 months ago
Aspect Based Sentiment Analysis ⭐ 413
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
total releases 8most recent commit a year ago
Mli Resources ⭐ 405
H2O.ai Machine Learning Interpretability Resources
most recent commit 3 years ago
Yggdrasil Decision Forests ⭐ 403
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
total releases 8most recent commit 3 months ago
Pyss3 ⭐ 307
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
total releases 29most recent commit 8 months ago
Inseq ⭐ 254
Interpretability for sequence generation models 🐛 🔍
total releases 6most recent commit 3 months ago
The 10 Most Depended On Python Interpretability Open Source Projects
Captum ⭐ 4,393
Model interpretability and understanding for PyTorch
dependent packages 59total releases 10latest release December 05, 2023most recent commit 3 months agopypi captum} Downloads
Dalex ⭐ 1,242
moDel Agnostic Language for Exploration and eXplanation
dependent packages 24total releases 29latest release January 15, 2023most recent commit 7 months ago
Alibi ⭐ 2,257
Algorithms for explaining machine learning models
dependent packages 17total releases 31latest release July 07, 2023most recent commit 3 months agopypi alibi} Downloads
Tf Explain ⭐ 934
Interpretability Methods for tf.keras models with Tensorflow 2.x
dependent packages 7total releases 8latest release November 18, 2021most recent commit 2 years agopypi tf-explain} Downloads
Deeplift ⭐ 584
Public facing deeplift repo
dependent packages 6total releases 13latest release November 11, 2020most recent commit 2 years agopypi deeplift} Downloads
Stellargraph ⭐ 2,768
StellarGraph - Machine Learning on Graphs
dependent packages 6total releases 24latest release February 22, 2021most recent commit 7 months agopypi stellargraph} Downloads
Decision Forests ⭐ 635
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
dependent packages 5total releases 33latest release November 20, 2023most recent commit 3 months agopypi tensorflow-decision-forests} Downloads
Imodels ⭐ 1,229
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
dependent packages 4total releases 44latest release October 05, 2023most recent commit 4 months agopypi imodels} Downloads
The 10 Latest Releases In Python Interpretability Open Source Projects
Shapash ⭐ 2,547
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
dependent packages 2total releases 37latest release December 08, 2023most recent commit 3 months agopypi shapash} Downloads
Inseq ⭐ 254
Interpretability for sequence generation models 🐛 🔍
total releases 6latest release December 07, 2023most recent commit 3 months ago
Captum ⭐ 4,393
Model interpretability and understanding for PyTorch
dependent packages 59total releases 10latest release December 05, 2023most recent commit 3 months agopypi captum} Downloads
Asent ⭐ 109
Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.
dependent packages 1total releases 34latest release November 30, 2023most recent commit 3 months agopypi asent} Downloads
Decision Forests ⭐ 635
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
dependent packages 5total releases 33latest release November 20, 2023most recent commit 3 months agopypi tensorflow-decision-forests} Downloads
Facet ⭐ 483
Human-explainable AI.
total releases 27latest release November 15, 2023most recent commit 5 months ago
Imodels ⭐ 1,229
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
dependent packages 4total releases 44latest release October 05, 2023most recent commit 4 months agopypi imodels} Downloads
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