Amsterdam

Vlad Niculae

Elite
@vene

ML&NLP; asst prof; U. of Amsterdam pfp https://picrew.me/image_maker/659432 by mailboxsnot

sparse-structured-attention. Sparse and structured neural attention mechanisms

224

sparsemap. SparseMAP: differentiable sparse structure inference

112

marseille. Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)

66

pelican-bibtex. pelican-bibtex: Manage your academic publications page with Pelican and BibTeX

53

pyowl. Ordered Weighted L1 regularization for classification and regression in Python

52

misc-nlp. My projects and works in progress in NLP and computational linguistics.

11

scikit-learn-speed. Continuous benchmark suite for the scikit-learn project.

6

comparison-pattern. Research code for mining comparison expressions from natural language texts.

5

pydai. C++

5

scikit-learn. scikit-learn repo for vlad's work in progress contributions

4

vene.github.io. My github-powered personal website.

4

memory_profiler. Monitor Memory usage of Python code

3

polylearn. My fork of polylearn, a library for factorization machines and polynomial networks for classification and regression in Python.

3

retrieve-oldromanian. Old Romanian IR example

3

vbench. vbench: A tool for benchmarking your code through time, for showing performance improvement or regressions

2

config-files. My configuration files

2

scikit-learn-tutorial. Applied Machine Learning in Python with scikit-learn

2

ro-morphology. Machine learning tools for solving morphology tasks in the Romanian language

2

adsa_uiuc_sklearn_tutorial. Scikit-Learn tutorial for the UIUC ADSA Data Science summit, based on material for Scipy 2015

2

pyglarf. Python utilities for working on top of GLARF's output.

2

politeness. Sample implementation of a politeness model, trained on the Stanford Politeness Corpus

1

daimrf. Python interface for inference with LibDAI

1

bilearn. Bilinear models for machine learning.

1

prototype-lp-sparsemap. Some original prototyping code from LP-SparseMAP, for reference

1

lightning. Large-scale linear classification, regression and ranking in Python

1

dynet-custom. Custom dynet node example

1

copt. A Python library for mathematical optimization

1

bllip-parser. Official repository for the BLLIP reranking parser (also known as Charniak parser, Brown reranking parser)

1

seqlearn. Sequence learning toolkit for Python

1

scikit-signal. A scikit for signal processing

1
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