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  1. DeepExplain Public

    A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

    Python 647 122

  2. MineTime Public

    MineTime public repository for issue tracking

    364 12

  3. DASP Public

    Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)

    Python 50 13

  4. LPDN Public

    Feedforward implementation of Lightweight Probabilistic Deep Networks for Keras and Tensorflow

    Jupyter Notebook 10 4

  5. EWS API for TypeScript/JavaScript - ported from OfficeDev/ews-managed-api - node, cordova, meteor, Ionic, Electron, Outlook Add-Ins

    TypeScript 263 69

  6. TorchPruner Public

    On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for neural networks in PyTorch.

    Jupyter Notebook 125 16

3,702 contributions in the last year

Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Mon Wed Fri
Activity overview
Contributed to morgen-so/dav, gautamsi/ews-javascript-api, realm/realm-js and 1 other repository

Contribution activity

December 2022

53 contributions in private repositories Dec 1 – Dec 5

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