Guanlin Li (Epsilon-Lee)

Epsilon-Lee

Geek Repo

Company:Independent thinker

Location:Beijing, China

Home Page:http://epsilon-lee.github.io

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Guanlin Li's repositories

paper-jam

Jam of papers that interest or bore me and my friends :P

ml-math-in-and-for-nlp

An evolving notes on machine learning and mathematical techniques in and for Natural Language Processing.

DRR-benchmark

Benchmarking discourse relation recognition (DRR)

OpenNMT-V1

Personalized Prototype for NMT Dev

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nlptutorial

Forked from Neubig to adapt to our tea party at Harbin Institute of Technology.

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fairseq-epsilon

Customized fairseq for fast experiment prototyping.

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deep-learning-explained

A collection of papers that try to explain the mysteries of deep learning with theories and empirical evidences.

trending-with-trends

Getting into trends and then think beyond trends.

Customized-THUMT

Customized THUMT for State-of-the-Art Neural Machine Translation.

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epsilon-learns-to-algo

My personal road to the beauty of algorithms and algorithmic thinking.

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fairseq-da

A repo for investigating various Data Augmentation methods in Neural Machine Translation

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frege

`frege` is a lib that I build gradually to logicalize my research in machine learning and computional linguistics.

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Hybrid-Explore-NMT

This is an implementation of easy-first exploration in BOW search space with only seq2seq+att model.

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ml-better-understood

My customised notes for better understanding machine learning topics and frontiers

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my-old-website

My Personal Website

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research-daily

Daily research log

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sentiment-benchmark

benchmarking basic models for sentiment classification

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Seq2Seq-raw

This is a raw implementation of encoder-decoder model with\out attention for nmt.

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THUMT-epsilonlee

My personal adaptation of the THUMT neural machine translation repo.

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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understand-black-box-nmt

An ongoing list of understanding and interpretability works in machine translation and beyond.

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