cdpierse / transformers-interpretLinks
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
☆1,356Updated last year
Alternatives and similar repositories for transformers-interpret
Users that are interested in transformers-interpret are comparing it to the libraries listed below
Sorting:
- Multimodal model for text and tabular data with HuggingFace transformers as building block for text data☆604Updated 8 months ago
- Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the…☆2,041Updated 10 months ago
- Active Learning for Text Classification in Python☆618Updated 2 weeks ago
- NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations☆785Updated last year
- skweak: A software toolkit for weak supervision applied to NLP tasks☆926Updated 10 months ago
- A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coher…☆1,232Updated 5 months ago
- A Visual Analysis Tool to Explore Learned Representations in Transformers Models☆596Updated last year
- The implementation of DeBERTa☆2,114Updated last year
- A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in …☆426Updated last year
- OmniXAI: A Library for eXplainable AI☆933Updated 11 months ago
- OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)☆770Updated 11 months ago
- Beyond Accuracy: Behavioral Testing of NLP models with CheckList☆2,036Updated last year
- Collection of papers and resources for data augmentation for NLP.☆828Updated 2 years ago
- TextAugment: Text Augmentation Library☆422Updated last year
- Github repo with tutorials to fine tune transformers for diff NLP tasks☆857Updated last year
- Interpretability for sequence generation models 🐛 🔍☆426Updated 2 months ago
- Efficient few-shot learning with Sentence Transformers☆2,520Updated 3 months ago
- Flexible components pairing 🤗 Transformers with Pytorch Lightning☆609Updated 2 years ago
- BERT score for text generation☆1,760Updated 11 months ago
- 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.☆2,254Updated 3 weeks ago
- Data augmentation for NLP☆4,586Updated last year
- Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.☆563Updated last year
- Enabling easy statistical significance testing for deep neural networks.☆335Updated last year
- Transformers for Longer Sequences☆617Updated 2 years ago
- Robustness Gym is an evaluation toolkit for machine learning.☆440Updated 3 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆213Updated 9 months ago
- simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.☆395Updated 2 years ago
- ktrain is a Python library that makes deep learning and AI more accessible and easier to apply☆1,261Updated 5 months ago
- Top2Vec learns jointly embedded topic, document and word vectors.☆3,060Updated 7 months ago
- A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/ca…☆485Updated last year