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AlexSenchenko's Projects

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

backbone icon backbone

Give your JS App some Backbone with Models, Views, Collections, and Events

bull icon bull

A NodeJS persistent job and message queue based on Redis

chrome icon chrome

Chrome as a service in docker. Bring your own cloud or hardware.

dl icon dl

Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)

docx icon docx

Fast and easy to use .NET library that creates or modifies Microsoft Word files without installing Word.

frontend-dev-bookmarks icon frontend-dev-bookmarks

A huge list of frontend development resources I collected over time. Sorted from general knowledge at the top to concrete problems at the bottom.

google-api-nodejs-client icon google-api-nodejs-client

Google's officially supported Node.js client library for accessing Google APIs, it comes with OAuth 2.0 support.

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

jshint icon jshint

JSHint is a tool that helps to detect errors and potential problems in your JavaScript code

kaggle_homedepot icon kaggle_homedepot

Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

migrator.ef6 icon migrator.ef6

.NET Core CLI tool to enable EF6 migrations in an Asp.Net Core app.

minsk icon minsk

This repo contains Minsk, a handwritten compiler in C#. It illustrates basic concepts of compiler construction and how one can tool the language inside of an IDE by exposing APIs for parsing and type checking.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

probqa icon probqa

Probabilistic question-answering system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such thing/product/service. The maximal goal is to achieve the processing power of a single neuron of a human brain on a single PC. Interactions with billions of other computers should achieve human-level intelligence (AGI).

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