illc-uva Goto Github PK

5verbclusters

Dit is de repository die hoort bij het paper "Een corpus waar alle constructies in gevonden zouden moeten kunnen worden?".

aevnmt.pt

PyTorch implementation of Auto-Encoding Variational Neural Machine Translation

am-i-compositional

attention-cd

attentive_guidance

Repository implementing attentive guidance

awesome-compositionality

A list of resources dedicated to compositionality

barvikron

Efficiently compute Kronecker coefficients of bounded height

beer

Machine Translation Evaluation Metric

bnaf

Pytorch implementation of Block Neural Autoregressive Flow (http://arxiv.org/abs/1904.04676)

clmr

Official PyTorch implementation of Contrastive Learning of Musical Representations

color-learning

Accompanies the paper, "Ease of learning explains semantic universals". Generates and trains neural networks on artificial color systems, showing that _degree of convexity_ explains accuracy.

compmus

Support functions for Computational Musicology

deep-generative-lm

Code accompanying the paper "Effective Estimation of Deep Generative Language Models".

diagnnose

diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.

didec-seq-gen

disco-dop

Discontinuous Data-Oriented Parsing

dists.pt

Extensions to torch distributions

embedalign

A deep generative mode of word representation by marginalisation of lexical alignments

emergent_grammar_induction

A toolkit for finding and analysing the grammars of emergent languages.

evolutionofdenial

Costly signalling model for the evolution of denial (Incurvati and Sbardolini, 2021)

freval

An all-fragments parser evaluation metric – generalization of PARSEVAL

function-words-context

Signaling games with function words amidst contextual variability

gcd4lm

Scripts for Generalised Contextual Decomposition

grasp

Randomised Semiring Parsing

hypothesis

Demo bot for Hypothesis

illc-uva.github.io

ILLC code

incremental_encoding

indefinite-pronouns-salt

interpretable_predictions

Interpretable Neural Predictions with Differentiable Binary Variables

ja-asp

Encodings of Judgment Aggregation (JA) problems into Answer Set Programming (ASP)