small-text
transformers-interpret
small-text | transformers-interpret | |
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4 | 3 | |
520 | 1,213 | |
0.4% | - | |
7.6 | 2.9 | |
5 days ago | 8 months ago | |
Python | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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small-text
- Small-Text: Looking for Contributors (Active Learning, Text Classification, NLP)
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🤗 Active learning from scratch | Using Hugging Face Transformers, Rubrix, and small-text
If you are new to small-text: https://github.com/webis-de/small-text
- [P] Small-Text: Active Learning for Text Classification in Python
transformers-interpret
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[P] XAI Recipes for the HuggingFace 🤗 Image Classification Models
Very cool, I like seeing this. I also noticed the transformers interpret package has released support for an image classification explainer: https://github.com/cdpierse/transformers-interpret
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Using LIME to explain the predictions from a BERT model, it looks like "the", "and", "or" are "very important" features, and thus I don't think the model is learning anything interesting. Any tips?
You could look at the Transformers Interpret python library: https://github.com/cdpierse/transformers-interpret
- Show HN: Transformers Interpret – Explain and visualize Transformer models
What are some alternatives?
happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.
argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
gensim - Topic Modelling for Humans
automl-docker - CLI-based tool to automatically build ML models from training data into a servable Docker container
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
DECIMER-Image_Transformer - DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer
shap - A game theoretic approach to explain the output of any machine learning model. [Moved to: https://github.com/shap/shap]
MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.
Vision-DiffMask - Official PyTorch implementation of Vision DiffMask, a post-hoc interpretation method for vision models.