{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Projects NLA 2017" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "| Team | Project title | Resourses |\n", "|:------:|:----------:|:----------|\n", "| Liliya Ageeva
Sergey Makarychev
Aleksandr Rozhnov
Anton Zhevnerchuk | Low-rank approximations for large incomplete matrices | [Presentation](./presentations/lowrank_completion.pdf)
[Source code](https://github.com/zhevnerchuk/matrix-filling) |\n", "|Sergey Divakov
Anastasia Koloskova
Alfredo De la Fuente
Vladislav Pimanov | Dynamic programming on tensors for solving the problem of dependency parsing in NLP | [Presentation](./presentations/dynprog_tensors4nlp.pdf)
[Source code](https://github.com/divserge/pcfg_parser) |\n", "|Ivan Okhmatovskii
Polina Belozerova
Mozhde Shiranirad
Airat Kotliyar-Shapirov | Comparison of the most popular methods for reconstruction MRI images | [Presentation](./presentations/capacity_management.pdf)
[Source code](https://github.com/okhmat/RadonTransform) |\n", "| Aleksandr Safin
Ivan Rodin
Maxim Kaledin | Key words extraction from news | [Presentation](./presentations/keyword_extraction.pdf)
[Source code](https://github.com/XuMuK1/KeywordsExtraction) |\n", "| Artem Sevastopolsky
Sergey Samsonov
Ekateriva Ivanova
Mikhail Yakhlakov | Accelerations of Kaczmarz method for solving ill-conditioned linear systems | [Presentation](./presentations/accel_Kaczmarz.pdf)
[Source code](https://github.com/seva100/kaczmarz-modifications/) |\n", "| Iurii Kemaev
Maxim Kuznetsov
Eugenii Nikishin | Actor-critic algorithm with approximate natural policy gradient | [Presentation](./presentations/actor_critic.pdf)
[Source code](https://github.com/nikishin-evg/acktr_pytorch/) |\n", "| Egor Nuzhin
Iurii Minin
Alexey Boyko | Inverse design of 2D wave devices with optimization | [Presentation](./presentations/inverse_2D.pdf)
[Source code](https://github.com/archilless/projectwave2d) |\n", "| Nikita Gryaznov
Anton Pankratov
Yuriy Tavyrykov | Deep Compression | [Presentation](./presentations/deep_compression.pdf)
[Source code](https://github.com/Tenich/deep_compression) |\n", "| Anna Petrovskaia
Aleksey Uvarov
Cosmos Daniel
Abdul-ganiy Usman | Gaussian process regression fast solver | [Presentation](./presentations/gauss_regression.pdf)
[Source code](https://github.com/petrovskaia/kriging-fast-solver) |\n", "| Alexander Nekrashevich
Aibek Alanov
Filippos Kokkinos
Sergey Pozdnyakov
Dmitiy Salnikov | Air Cargo Capacity Management | [Presentation](./presentations/mri_reconstruction.pdf) |\n", "|Anastasiia Baiandina
Iurii Kolomeitsev |Hybrid SVD for Text Mining| [Presentation](./presentations/hsvd_text_mining.pdf)|\n", "| Satyarth Mishra Sharma
Vadim Liventsev
Artur Grigorev
Phan Van Duc
Shreya Santra | Optimization of multi-origin travel search | [Presentation](./presentations/multi_origin_travel_search.pdf) |\n", "| Ilia Krotov
Denis Prokopenko
Valentina Shumovskaia
Andrei Znobishchev | Spooky Author Identification | [Presentation](./presentations/author_identify.pdf) | \n", "| Kupchenko Leonid
Grecia Diaz | Efficient energy use of local and remote data processing | [Presentation](./presentations/efficient_energy.pdf)
[Source code](https://github.com/greciaarabeli/Efficient-energy-use-of-local-and-remote-data-processing-) |" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:p3]", "language": "python", "name": "conda-env-p3-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 2 }