Igor Shalyminov (ishalyminov)

ishalyminov

Geek Repo

Company:@amazon-science

Location:Sunnyvale, USA

Home Page:https://shalyminov.com

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Igor Shalyminov's repositories

few_shot_dialogue_generation

Dialogue Knowledge Transfer Networks (DiKTNet)

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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)

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

interviewbit

Programming practice using interviewbit.com

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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

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autofan

Improve your self-esteem on YouTube, SoundCloud, PromoDJ, Vimeo, and what not

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GRTr

Generative Retrieval Transformer

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TextGAN-PyTorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

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asr_labs

Code for 2020/21 ASR labs

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coursera_bayesian_stats

Assignments for "Bayesian Statistics: Techniques and Models" Coursera Course

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DeepLearningExamples

Deep Learning Examples

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dialogue-gan

Generative Adversarial Network to Develop Synthetic Dialogues

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dstc_archive

Dialog State Tracking Challenge 1 Data [mirror]

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ecr-cluster.github.io

Documentation site for the Robotarium Cluster

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fairseq

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

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instapy-docker

🐳 Docker config and documentation for running InstaPy with Docker

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ishalyminov.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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LeakGAN

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

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natural-language-processing

Resources for "Natural Language Processing" Coursera course.

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NeuralDialog-LAED

PyTorch implementation for Interpretable Dialog Generation ACL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

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NeuralDialog-ZSDG

PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

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Practical_RL

A course in reinforcement learning in the wild

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serveo_remote_proxy

A systemd service for Serveo remote proxy

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speech_course

YSDA course in Speech Processing.

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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