yaroschak

yaroschak

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yaroschak's repositories

attention_keras

Keras Layer implementation of Attention

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bencode.py

Simple bencode parser (for Python 2, Python 3 and PyPy)

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chatbot

Русскоязычный чатбот

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clickhouse-replication-example

Create an example replicated + distributed dataset using Clickhouse

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data-science-interviews

Data science interview questions and answers

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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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debugger-protocol-viewer

DevTools Protocol API docs—its domains, methods, and events

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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DeepNLP-Course

Deep NLP Course

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dragnet

Just the facts -- web page content extraction

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EasyNMT

Easy to use, state-of-the-art Neural Machine Translation for 100+ languages

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extruct

Extract embedded metadata from HTML markup

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gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

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keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

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ml-course-hse

Машинное обучение на ФКН ВШЭ

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MLTS

Machine Learning Toolkit for SEO

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monitorrent

Automatic torrents downloader

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monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

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numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

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PyChromeDevTools

PyChromeDevTools is a python module that allows one to interact with Google Chrome using Chrome DevTools Protocol within a Python script.

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pytorch-Deep-Learning

Deep Learning (with PyTorch)

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seotopper

Complete SEO generator with all meta-tags including JSON-LD, build your Seo in seconds.

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Transformer

In this repos, I will present the work of my project concerning the architecture of Transformer

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yargy

Rule-based facts extraction for Russian language

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