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Paul Michel's Projects

bibliography icon bibliography

A living bibtex file of all references I used in my research

cache-access-time icon cache-access-time

Simple C program doing cache access time tests and data visualization program in python

curriculum_learning icon 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)

dynet icon dynet

Dynamic neural network library

dynet-lab icon dynet-lab

A bunch of boilerplate code for simple deep learning experiments with dynet

dynn icon dynn

Neural networks routines for DyNet

entropy icon entropy

C++ program calculating the entropy of a language based on a corpus of texts

fairseq icon fairseq

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

gammatone.py icon gammatone.py

Wrapper around Ning Ma's gammatone filter optimized C implementation.

luaweb icon luaweb

A very simple blog engine using openresty, nginx, lua, markdown, git and redis

mtnt icon mtnt

Code for the collection and analysis of the MTNT dataset

p-dro icon 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 icon pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

relex icon relex

Website for enterprise relations at Γ‰cole polytechnique's Student Office

sacrebleu icon sacrebleu

Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

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