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Hi there 👋

I am Leo (Leonid) Boytsov. I have been writing code for more than 30 years, professionally since 1996.

  • I am a Sr. Research Scientist @ Amazon AWS AI Labs (opinions are my own).
  • I did my pH-D mid-career @ LTI/CMU.
  • I speak πtorch & C++ and work on IR, NLP, and CV.
  • I remember dependency parsing & gradient boosted decision trees.

Further links:

Leonid Boytsov's Projects

accelerate icon accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

accuratelucenebm25 icon accuratelucenebm25

Improving the effectiveness Lucene's BM25 (and testing it using Yahoo! Answers and Stack Overflow collections)

annographix icon annographix

Structured information retrieval using SOLR (archival version)

anserini icon anserini

A Lucene toolkit for replicable information retrieval research

blogcode icon blogcode

Code used in Leonid Boytsov's blog: http://searchivarius.org

fastscancount icon fastscancount

Fast implementations of the scancount algorithm: C++ header-only library

gbm icon gbm

Gradient boosted models

mgiza icon mgiza

A word alignment tool based on famous GIZA++, extended to support multi-threading, resume training and incremental training.

n2 icon n2

TOROS N2 - lightweight approximate Nearest Neighbor library which runs faster even with large datasets

nndes icon nndes

Automatically exported from code.google.com/p/nndes

opennmt-py icon opennmt-py

Open Source Neural Machine Translation in PyTorch

permtest icon permtest

Permutation algorithms to test statistical significance of experimental results.

pyfastpfor icon pyfastpfor

Python bindings for the fast integer compression library FastPFor.

pystruct icon pystruct

Simple structured learning framework for python

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