NarineK

analyzing-redundancy-in-pretrained-transformer-models

Code for Analyzing Redundancy in Pretrained Transformer Models accepted at EMNLP 2020

attention-analysis

breeze

Breeze is a numerical processing library for Scala.

captum-1

Model interpretability and understanding for PyTorch

cikm2017-ft

DeepExplain

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)

fairness-aware-learning

Fairness aware learning using input masking constraints

Fairness-in-Classification-and-Representation-Learning

Implementation of Fairness method for Classification Task

scikit-learn

scikit-learn: machine learning in Python

spark

Mirror of Apache Spark

NarineK/attention-analysis

NarineK/captum-1

Model interpretability and understanding for PyTorch

NarineK/fairness-aware-learning

Fairness aware learning using input masking constraints

NarineK/scikit-learn

scikit-learn: machine learning in Python

NarineK/spark

Mirror of Apache Spark

NarineK/analyzing-redundancy-in-pretrained-transformer-models

Code for Analyzing Redundancy in Pretrained Transformer Models accepted at EMNLP 2020

NarineK/breeze

Breeze is a numerical processing library for Scala.

NarineK/cikm2017-ft

NarineK/DeepExplain

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)

NarineK/Fairness-in-Classification-and-Representation-Learning

Implementation of Fairness method for Classification Task

NarineK/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

NarineK/system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

NarineK/tensorflow

Open source software library for numerical computation using data flow graphs.