i-machine-think / diagNNoseLinks
diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
β82Updated 2 years ago
Alternatives and similar repositories for diagNNose
Users that are interested in diagNNose are comparing it to the libraries listed below
Sorting:
- Replication code for "With Little Power Comes Great Responsibility"β39Updated 5 years ago
- πΈ KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddingsβ58Updated 2 years ago
- β75Updated 4 years ago
- Statistics on multilingual datasetsβ17Updated 3 years ago
- Repository collecting resources and best practices to improve experimental rigour in deep learning research.β27Updated 2 years ago
- Hyperparameter Search for AllenNLPβ140Updated 8 months ago
- As good as new. How to successfully recycle English GPT-2 to make models for other languages (ACL Findings 2021)β48Updated 4 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.netβ¦β50Updated 2 years ago
- The Benchmark of Linguistic Minimal Pairsβ156Updated 2 years ago
- Code and Data for Evaluation WGβ42Updated 3 years ago
- Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transferβ39Updated 5 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"β71Updated last year
- A Diagnostic Study of Explainability Techniques for Text Classificationβ69Updated 5 years ago
- Codebase for probing and visualizing multilingual models.β49Updated 5 years ago
- Rationales for Sequential Predictionsβ40Updated 3 years ago
- A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.β105Updated 2 years ago
- A Word Sense Disambiguation system integrating implicit and explicit external knowledge.β69Updated 4 years ago
- Collection of academic works in natural language processing, computational linguistics, and computational cognitive science that study thβ¦β22Updated last year
- β21Updated 2 years ago
- An implementation of GrASP (Shnarch et. al., 2017)β23Updated 3 years ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"β45Updated last year
- How Contextual are Contextualized Word Representations?β42Updated 5 years ago
- Language Modelling Makes Sense - WSD (and more) with Contextual Embeddingsβ95Updated 2 years ago
- To analyze and remove gender bias in coreference resolution systemsβ78Updated 6 months ago
- This repository contains the code for "BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Representations".β64Updated 5 years ago
- codebase for the Text-based NP Enrichment (TNE) paperβ19Updated last year
- Source code accompanying the KONVENS 2019 paper "Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Emβ¦β66Updated 5 years ago
- Repository with code for MaChAmp: https://aclanthology.org/2021.eacl-demos.22/β87Updated 6 months ago
- Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.β49Updated 4 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"β58Updated 4 years ago