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This project forked from sebastianruder /nlp-progress
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.
Home Page: https://nlpprogress.com/
License: MIT License
Ruby 0.48%
Python 90.90%
HTML 8.62%
nlp-progress's Introduction
Hi there, I'm David - aka davebulaval
I’m a Ph.D. student, ML researcher, founder of an AI podcast, and an AI consultant!
I’m working on my academic research, Poutyne , Deepparse and MeaningBERT !
I’m developing my skills in NLP
I’m developing my consulting firm with colleagues: Baseline
I’m developing a bilingual AI podcast: OpenLayer
I’m developing a bilingual blog site with colleagues: .Layer
Poutyne : A simplified framework for PyTorch and handles much of the boilerplating code needed to train neural networks.
Deepparse : A state-of-the-art library for parsing multinational street addresses using deep learning.
notif : A easy-to-use package to send notifications from a Python script.
Actuarial Symbol : Typesetting actuarial symbols easily and consistently in LaTeX.
nCopula : Construct and manipulate hierarchical Archimedean copulas with multivariate compound distributions.
nlp-progress's People