fel-thomas

Kempner Research Fellow, Harvard | Ph.D. in Explainable AI

HarvardBoston

Pinned Repositories

Craft
👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
Language:Jupyter Notebook56 2 56
deel-lip
Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
Language:Python89 7 1810
influenciae
👋 Influenciae is a Tensorflow Toolbox for Influence Functions
Language:Python56 3 143
xplique
👋 Xplique is a Neural Networks Explainability Toolbox
Language:Python648 12 7153
BERT_LRP
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
Language:Jupyter Notebook0 0 00
numkdoc
Mkdoc autodoc from your numpy style docstrings
Language:Python3 1 00
rails-i18n
Repository for collecting Locale data for Ruby on Rails I18n as well as other interesting, Rails related I18n stuff
Language:Ruby0 0 00
simple_unet
Simple Unet implementation to copy paste
Language:Python7 2 02
Sobol-Attribution-Method
👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)
Language:Jupyter Notebook27 2 34
Harmonization
👋 Aligning Human & Machine Vision using explainability
Language:Python47 17 711

fel-thomas/Sobol-Attribution-Method
👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)
Language:Jupyter Notebook27 2 34
fel-thomas/simple_unet
Simple Unet implementation to copy paste
Language:Python7 2 02
fel-thomas/numkdoc
Mkdoc autodoc from your numpy style docstrings
Language:Python3 1 00
fel-thomas/BERT_LRP
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
Language:Jupyter Notebook0 0 00
fel-thomas/rails-i18n
Repository for collecting Locale data for Ruby on Rails I18n as well as other interesting, Rails related I18n stuff
Language:Ruby0 0 00