Top 10 Python interpretable-machine-learning Projects
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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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ETSformer
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
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TalkToModel
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
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Machine-Learning
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI. (by VincentGranville)
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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.
Project mention: EPU-CNN: Introducing Generalized Additive Models in CNNs for Interpretable Image Classification | /r/computervision | 2023-12-05The code is also made available on Github here along with all the datasets used in the original research. Your feedback and contributions are highly welcome!
Project mention: [P] I created a package implementing a SOTA technique for XAI ( Explainable AI) | /r/MachineLearning | 2023-09-03
Index
What are some of the best open-source interpretable-machine-learning projects in Python? This list will help you:
Project | Stars | |
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1 | DALEX | 1,318 |
2 | DiCE | 1,267 |
3 | pyGAM | 838 |
4 | ETSformer | 224 |
5 | TalkToModel | 102 |
6 | Machine-Learning | 85 |
7 | ContrXT | 23 |
8 | XAI | 18 |
9 | EPU-CNN | 5 |
10 | xi-method | 5 |
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