Materials for EACL2024 tutorial: Transformer-specific Interpretability

Solve puzzles. Improve your pytorch.

My Advent of Code submissions. For 2021 and before, these are the original code I used, without any modifications after-the-fact. As such, they are probably not as efficient or short as they should…

A jekyll based resume template

Source files for "Learning Statistics with R"

Soft speech units for voice conversion

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Spectral Probing (EMNLP 2022)

Tell stories of your work with Notion

ABX discrimination task in python

A collection of useful scripts, templates, and examples for clusters using SLURM https://slurm.schedmd.com/

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Tutorial on ‘Graph-Based Meaning Representations: Design and Processing’ (ACL 2019)

Code for building ConceptNet from raw data.

Unsupervised Natural Language Parsing (Tutorial)

Annotations and code for the EMNLP 2018 paper 'Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations'

Second SIGMORPHON Shared Task on Grapheme-to-Phoneme Conversions

Stack neural networks applied to hefty natural language tasks.

Code and data for paper Colorless Green Recurrent Networks Dream Hierarchically