Vlad Niculae
vene
ML&NLP; asst prof; U. of Amsterdam pfp https://picrew.me/image_maker/659432 by mailboxsnot
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Repos
51
Stars
554
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140
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Python
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Top Repositories
Sparse and structured neural attention mechanisms
SparseMAP: differentiable sparse structure inference
Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)
pelican-bibtex: Manage your academic publications page with Pelican and BibTeX
Ordered Weighted L1 regularization for classification and regression in Python
My projects and works in progress in NLP and computational linguistics.
Repositories
51Sparse and structured neural attention mechanisms
Some original prototyping code from LP-SparseMAP, for reference
Research code for mining comparison expressions from natural language texts.
Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)
AMBRA: Temporal text prediction by pairwise comparisons
pelican-bibtex: Manage your academic publications page with Pelican and BibTeX
Bilinear models for machine learning.
My github-powered personal website.
SparseMAP: differentiable sparse structure inference
No description provided.
My projects and works in progress in NLP and computational linguistics.
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Old Romanian IR example
Ordered Weighted L1 regularization for classification and regression in Python
Scikit-Learn tutorial for the UIUC ADSA Data Science summit, based on material for Scipy 2015
My configuration files
Python interface for inference with LibDAI
Sequence learning toolkit for Python
My fork of polylearn, a library for factorization machines and polynomial networks for classification and regression in Python.
A Python library for mathematical optimization
Code for the supervised parser in the SparseMAP paper
Python utilities for working on top of GLARF's output.
Sample implementation of a politeness model, trained on the Stanford Politeness Corpus
Large-scale linear classification, regression and ranking in Python
Machine learning tools for solving morphology tasks in the Romanian language
No description provided.
simple flask app to run vader
Custom dynet node example
Alternating Directions Dual Decomposition