Code and documentation to train Stanford's Alpaca models, and generate the data.
- deep-learning
- instruction-following
- language-model
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Code and documentation to train Stanford's Alpaca models, and generate the data.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.
Natural Gradient Boosting for Probabilistic Prediction
Gibson Environments: Real-World Perception for Embodied Agents
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
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