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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.
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.
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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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Project mention: Alibi: Open-source Python lib for ML model inspection and interpretation | news.ycombinator.com | 2023-06-02
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explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Project mention: Help! Interviewing for ML and modern CV positions (plus a ML model explainer dashboard) | /r/OMSCS | 2023-05-11 -
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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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Project mention: Xplique Is a Neural Networks Explainability Toolbox | news.ycombinator.com | 2024-02-02
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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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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).
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TorchPRISM
Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework
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Project mention: Two-Stage Contrastive Whole Output Explaination (CWOX-2s) | news.ycombinator.com | 2023-06-13
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Project mention: [P] I created a package implementing a SOTA technique for XAI ( Explainable AI) | /r/MachineLearning | 2023-09-03
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SaaSHub
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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 - SaaSHub
www.saashub.com | 18 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 | 9,351 |
2 | interpret | 5,978 |
3 | alibi | 2,284 |
4 | explainerdashboard | 2,221 |
5 | AIX360 | 1,522 |
6 | DALEX | 1,318 |
7 | DiCE | 1,266 |
8 | xplique | 561 |
9 | tf-keras-vis | 304 |
10 | fcdd | 216 |
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 | 8 |
20 | CWOX | 8 |
21 | xi-method | 5 |