Discover @ishalyminov Open Source projects

Igor Shalyminov (@ishalyminov)

ishalyminov

Stars
131
Global Rank 170,475 (Top 6 %)
Followers 86
Following 84
Registered about 13 years ago
Most used languages

Python
73.7 %

Jupyter Notebook
10.5 %

TeX
5.3 %

C
5.3 %

C++
5.3 %
Location 🇺🇸 United States
Country Total Rank 37,160
Country Ranking

TeX
2,159

Python
8,434

few_shot_dialogue_generation

Dialogue Knowledge Transfer Networks (DiKTNet)

multitask_disfluency_detection

Code for the paper "Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems" (Igor Shalyminov, Arash Eshghi, and Oliver Lemon)

babi_tools

Augmentation scripts for the bAbI Dialog Tasks dataset

bag_of_words_classification

An experiment on text classification entirely based on word frequencies

instapy-docker-heroku

Run Instapy on Heroku in a Docker Container

wunderlist2asana

Export your Wunderlist content to Asana

ood_robust_hcn

Code for the paper "Improving Robustness of Dialog Systems in a Data-Efficient Way with Turn Dropout" by Igor Shalyminov and Sungjin Lee

Jupyter Notebook

interviewbit

Programming practice using interviewbit.com

copy_seq2seq

An Implementation of Copy Seq2Seq

1class_svm_detector

gemini_portrait

A portrait version of @anishathalye's Gemini LaTeX beamerposter theme

shad.morpho

Shad NLP 4th hometask

shad_nlp_semantics

Formal Semantics assignment for Shad NLP course

coursera_vorontsov

Code for the "Intro to Machine Learning" course on Coursera

Jupyter Notebook

disamb

Morphological disambiguators training experiments based on Ruscorpora tagged texts

shad.static_co_bst

Static cache-Oblivious BST (Shad External Memory 4th hometask)

shad_nlp_earley

Earley parser with constraints (Shad NLP course)

opensubtitles_tools

Creating a seq2seq dataset from OpenSubtitles data

neural_sentence_compression

Sentence compression using a seq2seq model

ruscorpora_syntax

Scripts for building a MaltParser on top of the Ruscorpora's syntax corpus