Alternatives and similar repositories for ieat

Users that are interested in ieat are comparing it to the libraries listed below

• i-machine-think / diagNNose
  diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
  ☆81Updated last year
• mohsenfayyaz / GlobEnc
  [NAACL 2022] GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers
  ☆21Updated 2 years ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• samiraabnar / Bridge
  Making a bridge between NLP models and Brain data
  ☆18Updated 4 years ago
• harvardnlp / hmm-lm
  ☆42Updated 4 years ago
• IBM / model-recycling
  Ranking of fine-tuned HF models as base models.
  ☆35Updated last week
• r0mainK / outperformer
  Code for scaling Transformers
  ☆26Updated 4 years ago
• EleutherAI / semantic-memorization
  ☆44Updated 6 months ago
• lucidrains / memory-editable-transformer
  My explorations into editing the knowledge and memories of an attention network
  ☆34Updated 2 years ago
• strubell / 11-767
  Course materials for 11-767
  ☆13Updated 2 years ago
• martiansideofthemoon / relic-retrieval
  Official codebase accompanying our ACL 2022 paper "RELiC: Retrieving Evidence for Literary Claims" (https://relic.cs.umass.edu).
  ☆20Updated 3 years ago
• gregdeon / spotlight
  Implementation of the spotlight: a method for discovering systematic errors in deep learning models
  ☆11Updated 3 years ago
• cindyxinyiwang / emea
  ☆13Updated 3 years ago
• PierreColombo / RankingNLPSystems
  What are the best Systems? New Perspectives on NLP Benchmarking
  ☆13Updated 2 years ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 2 years ago
• fdalvi / NeuroX
  A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.
  ☆102Updated last year
• stanislavfort / OpenAI_CLIP_adversarial_examples
  Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)
  ☆26Updated 4 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated 3 years ago
• TomFrederik / grokking
  Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'
  ☆38Updated 3 years ago
• JoaoLages / RATransformers
  RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!
  ☆41Updated 2 years ago
• huashen218 / convxai
  CSCW 2023 Best Demo Award: Conversational AI Explanations to Support Human-AI Scientific Writing
  ☆13Updated last year
• antofuller / configaformers
  A python library for highly configurable transformers - easing model architecture search and experimentation.
  ☆49Updated 3 years ago
• shauli-ravfogel / rlace-icml
  ☆36Updated 2 years ago
• jaehunjung1 / cascaded-selective-evaluation
  ☆21Updated 2 months ago
• iesl / interactive_LM
  ☆20Updated 2 years ago
• OliverRichter / normalized-attention
  Code publication to the paper "Normalized Attention Without Probability Cage"
  ☆16Updated 3 years ago
• rycolab / probing-via-prompting
  ☆11Updated 2 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated 2 years ago
• lucidrains / coco-lm-pytorch
  Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch
  ☆45Updated 4 years ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 2 years ago