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University of Washington
- Seattle, WA
- http://sriniiyer.github.io
- @sriniiyer88
- in/srini-iyer-90320049
Stars
A BART version of an open-domain QA model in a closed-book setup
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Mapping Language to Code in a Programmatic Context
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Sequence-to-Sequence Framework in PyTorch
An open-source NLP research library, built on PyTorch.
Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.
Summarizing Source Code using a Neural Attention Model - CODENN
Learning a Neural Semantic Parser with User Feedback
Sequence-to-sequence models for AMR parsing and generation
A compiler for automatically re-targeting sequential Java code to Apache Spark.