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Top 21 xai Open-Source Projects
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pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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whitebox
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes (by squaredev-io)
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TalkToModel
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
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TorchPRISM
Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
For the two examples we will be looking at, we will be using pytorch_grad_cam, an incredible open source package that makes working with GradCam very easy. There are excellent other tutorials to check out on the repo as well.
Project mention: Alibi: Open-source Python lib for ML model inspection and interpretation | news.ycombinator.com | 2023-06-02
Project mention: Help! Interviewing for ML and modern CV positions (plus a ML model explainer dashboard) | /r/OMSCS | 2023-05-11
Project mention: Xplique Is a Neural Networks Explainability Toolbox | news.ycombinator.com | 2024-02-02
Just for some respite from the discussion of our soon-to-be AI overlords (LLMs), I'm one of the contributors to an open-source Python package, Xplainable (https://github.com/xplainable/xplainable). Xplainable is a novel (structured) machine learning algorithm that's inherently explainable, as opposed to being a post-hoc explainer (like SHAP or Lime).
Project mention: Two-Stage Contrastive Whole Output Explaination (CWOX-2s) | news.ycombinator.com | 2023-06-13
Project mention: [P] I created a package implementing a SOTA technique for XAI ( Explainable AI) | /r/MachineLearning | 2023-09-03
xai related posts
- Alibi: Open-source Python lib for ML model inspection and interpretation
- MindsDB: Creating machine learning predictive models using SQL.
- Release0.3 Using PyParing lib in mindsdb
- Best alternatives to 'shap' package?
- MindsDB - build and deploy Machine Learning models from inside your databases in minutes using plain SQL.
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A note from our sponsor - InfluxDB
www.influxdata.com | 27 Apr 2024
Index
What are some of the best open-source xai projects? This list will help you:
Project | Stars | |
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1 | pytorch-grad-cam | 9,410 |
2 | interpret | 5,988 |
3 | alibi | 2,288 |
4 | explainerdashboard | 2,228 |
5 | AIX360 | 1,527 |
6 | DALEX | 1,318 |
7 | DiCE | 1,267 |
8 | xplique | 569 |
9 | tf-keras-vis | 305 |
10 | fcdd | 217 |
11 | whitebox | 181 |
12 | awesome-shapley-value | 127 |
13 | TalkToModel | 102 |
14 | xplainable | 52 |
15 | TorchPRISM | 47 |
16 | ContrXT | 23 |
17 | ai_book | 18 |
18 | XAI | 18 |
19 | easy_explain | 9 |
20 | CWOX | 8 |
21 | xi-method | 5 |
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