PAIR-code/lit🔥 active
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The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Tool for interactive embeddings visualization
$ git clone https://github.com/uber-research/parallax.git▲ +1 ★ this week
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
▲ +1 ★ this week
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
A fast, efficient universal vector embedding utility package.
▲ +1 ★ this week
Persian NLP Toolkit
▲ +1 ★ this week
Solves basic Russian NLP tasks, API for lower level Natasha projects
▲ +2 ★ this week
Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
Data from GitHub · snapshot Nov 13, 2026