Pinned Repositories
extreme-adaptation-for-personalized-translation
Code for the paper "Extreme Adaptation for Personalized Neural Machine Translation"
are-16-heads-really-better-than-1
Code for the paper "Are Sixteen Heads Really Better than One?"
dynet-att
An attentional NMT model in Dynet
jsalt-2019-mt-tutorial
MT Tutorial for the JSALT 2019 Summer School
mtnt
Code for the collection and analysis of the MTNT dataset
P-DRO
Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"
pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
reddit-iambic-pentameter
A bot that detects iambic pentameters in reddit comments
teapot-nlp
Tool for Evaluating Adversarial Perturbations on Text
translate
Translate - a PyTorch Language Library
pmichel31415's Repositories
pmichel31415/are-16-heads-really-better-than-1
Code for the paper "Are Sixteen Heads Really Better than One?"
pmichel31415/teapot-nlp
Tool for Evaluating Adversarial Perturbations on Text
pmichel31415/mtnt
Code for the collection and analysis of the MTNT dataset
pmichel31415/jsalt-2019-mt-tutorial
MT Tutorial for the JSALT 2019 Summer School
pmichel31415/dynet-att
An attentional NMT model in Dynet
pmichel31415/P-DRO
Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"
pmichel31415/reddit-iambic-pentameter
A bot that detects iambic pentameters in reddit comments
pmichel31415/translate
Translate - a PyTorch Language Library
pmichel31415/pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
pmichel31415/dynet-tutorial
Simple tutorials for dynet
pmichel31415/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
pmichel31415/11731-assignment-2-baseline
Baseline for assignment 2 of 11-731 "Machine Translation and Sequence-to-sequence Models" Fall 2019
pmichel31415/seam-carving
MODAL INF474 project
pmichel31415/Entropy
C++ program calculating the entropy of a language based on a corpus of texts
pmichel31415/jsalt-baseline
Baselines for JSALT 2019: Translation of informal text
pmichel31415/neural-seg
pmichel31415/sparse_coding
pmichel31415/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
pmichel31415/anime-prettify
Script(s) for renaming of Fansubbed anime files such as HS
pmichel31415/bibliography
A living bibtex file of all references I used in my research
pmichel31415/curriculum_learning
Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)
pmichel31415/dynet
Dynamic neural network library
pmichel31415/dynet-lab
A bunch of boilerplate code for simple deep learning experiments with dynet
pmichel31415/dynn
Neural networks routines for DyNet
pmichel31415/gammatone.py
Wrapper around Ning Ma's gammatone filter optimized C implementation.
pmichel31415/nmt-boilerplate
pmichel31415/sacreBLEU
Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons
pmichel31415/sopa-dynet
Reimplementation of SoPa (Schwartz et al., 2018) in DyNet
pmichel31415/stochastic-prime
A program predicting whether a number <1e40 is prime with accuracy 99.99%
pmichel31415/xnmt
eXtensible Neural Machine Translation