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Language Technologies Institute, Carnegie Mellon University
- saujasv.github.io
- @saujasv
Highlights
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Send email in Python conveniently for gmail using yagmail
An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.
The Schema-Guided Dialogue Dataset
A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.
SIGMORPHON 2020 Shared Task: Grapheme-to-Phoneme, Unsupervised Induction of Morphology, and Typologically Diverse Morphological Inflection
A Python Toolkit for Managing a Large Number of Experiments
Code for our paper "No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks" ICLR 2021
Compute edit operations to transform input string to output string, and align them with with source string symbols.
Library for helper functions to play the card game 56