justram

Jheng-Hong Yang's repositories

Anserini is a Lucene toolkit for reproducible information retrieval research

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Evaluation tools shared across anserini, pyserini, and pygaggle

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PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

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Causal Inference in Machine Learning

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"Learning What is Essential in Questions", CoNLL, 2017

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Medical Image--Text Retrieval Project

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my academic page

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Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

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⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

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Different Sparse Methods evaluated and trained together

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Deep recommender models using PyTorch.

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Tevatron - A flexible toolkit for dense retrieval research and development.

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A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

BSD-3-Clause000

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