jalammar/ecco
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).
Large Concept Models: Language modeling in a sentence representation space
$ git clone https://github.com/facebookresearch/large_concept_model.gitExplain, 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).
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Active Learning for Text Classification in Python
ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper βExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERTβ.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
FinGPT: Open-Source Financial Large Language Models! Revolutionize π₯ We release the trained model on HuggingFace.
Data from GitHub Β· snapshot Sep 24, 2026