Tuleuov Adilet (adilnaut)

adilnaut

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Location:Kazakhstan, Astana

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Tuleuov Adilet 's repositories

firesim

Framework for training and evaluation of fire-simulation models and fire-fighting agents

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adilnaut.github.com

Method KZ internship, first web programming assignment

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bosonic-qiskit

Extension of Qiskit to support hybrid boson-qubit simulations for the NQI C2QA effort.

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chest_xray

Deep learning algorithms for pneumonia detection from X-ray from the dataset below: http://www.cell.com/cell/fulltext/S0092-8674(18)30154-5

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cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

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deep-residual-networks

Deep Residual Learning for Image Recognition

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fast-catchup

Framework for work-communications prioritisation with LLMs

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hotelrms

Simple hotel room management system

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instaclone

First project in ruby on rails, just for learning new technology

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kahoot

This is the implementation of a simplified kahoot-like quiz system written in c from scratch

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katacoda-scenarios

Katacoda Scenarios

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MlAlgs

This is part of the coursework from the Method.Pro summer internship machine learning course

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models

Models built with TensorFlow

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qcodes_toy_drivers

This repository is for toy qcodes drivers for educational purposes

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qiskit-terra

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.

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quantify-core

Mirror of the quantify-core Gitlab repository (https://gitlab.com/quantify-os/quantify-core) within the Quantify package.

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quantify-scheduler

Mirror of the quantify-scheduler Gitlab repository (https://gitlab.com/quantify-os/quantify-scheduler) within the Quantify package.

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secret_santa_bot

Secret Santa bot for telegram

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symmer

Python package to reduce the qubit requirements of quantum simulation via qubit tapering and/or mapping the problem to a contextual subspace

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sympy

A computer algebra system written in pure Python

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todo-list

This is a REST API for Todo app

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yamarket

Yet Another market. Made for learning Ruby on Rails

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