Explainerdashboard Alternatives

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• Transformer-MM-Explainability

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  [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

• deepchecks

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  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  

• Sonar

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  Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  

• TorchDrift

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  Drift Detection for your PyTorch Models

  

• cleverhans

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  An adversarial example library for constructing attacks, building defenses, and benchmarking both

  

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• InfluxDB

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  Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  

• shapash

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  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

  

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  Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

  

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  The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

  

• backpack

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  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

• cockpit

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  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks (by f-dangel)

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• SaaSHub

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  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives