Author: Deep Learner

YouTube

YouTube Video Search Engine For Python

Introduction With the increasing demand for electronic devices, it is hard for people to choose the best products from multiple brands. In this case, the unboxing video will be useful letting people get an overview of the product. We would like to build a basic search engine for video on Youtube based on the speech content transcript to try to improve the searching result. The goal of the project is to find the most relevant video according to the content […]

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Sockets

The RDT protocol (RDT3.0,GBN,SR) implementation and performance evaluation code using socket

코드를 실행할때 리시버를 먼저 실행하세요. 성능 평가 코드는 패킷 전송 과정을 제외하고 시간당 전송률을 출력합니다. RDT3.0 GBN SR(버그 발견으로 구현중 입니다.) RDT 3.0 성능평가 결과 GBN 성능평가 결과 SR 성능평가 결과-코드 수정중 입니다. GitHub The Github Link Is For Subscribers Only Subscribe now Already have an account? Sign in    

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Tutorial

In this tutorial we will be learning how to create custom desktop notification using Python

In this video i am going to use a module called plyer Link for the module : https://pypi.org/project/plyer/ About Plyer – Plyer is an open source library to access features commonly found in various platforms via python . It provides support for Windows, MacOS, Linux, Android and iOS. Installation Usage from plyer import notification Subscribe Please subscribe CodeWithNiranjan GitHub The Github Link Is For Subscribers Only Subscribe now Already have an account? Sign in    

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Framework

Python framework for Stochastic Differential Equations modeling

This package implements functionalities for working with Stochastic Differential Equations models (SDEs for short).It includes simulation routines as well as estimation methods based on observed time series. Conceptually the information required to describe an SDEs can be divided in three groups: model, sampling and data.The sdelearn class is the main class of this package, dedicated to the interaction with the user. How to create a sdelearn class? A sdelearn class is based on three dedicated subclasses, SdeModel, SdeSampling and SdeData,containing […]

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Trading

Trading profit / loss evaluation on Binance spot market

I have been in Binance Automated Trading for some time and have generated a lot of transaction records, so I want to see my historical profit and loss records (for each cryptocurrency). But Binance does not provide this information. After searching for a period of time, various useful code sections were integrated, and then presented graphically with Poltly. The usage is very simple, just follow the following operations to get the total profit and loss in historical. python-binance pip install […]

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Natural Language Processing

A framework for detecting, highlighting and correcting grammatical errors on natural language text

Human and machine generated text often suffer from grammatical and/or typographical errors. It can be spelling, punctuation, grammatical or word choice errors. Gramformer is a library that exposes 3 seperate interfaces to a family of algorithms to detect, highlight and correct grammar errors. To make sure the corrections and highlights recommended are of high quality, it comes with a quality estimator. You can use Gramformer in one or more areas mentioned under the “use-cases” section below or any other usecase […]

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Database

A database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets

As a private investor, the sheer amount of information that can be found on the internet is rather daunting. Trying tounderstand what type of companies or ETFs are available is incredibly challenging with there being millions ofcompanies and derivatives available on the market. Sure, the most traded companies and ETFs can quickly be foundsimply because they are known to the public (for example, Microsoft, Tesla, S&P500 ETF or an All-World ETF). However,what else is out there is often unknown. This […]

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Algorithms

Learn about quantum computing and algorithm on quantum computing

this repo contains everything i learn about quantum computing and algorithm on quantum computing what is aquantum computing quantum computing is an area of study focused on the development of computer based technologies centered around the principles of quantum theory. quantum computing uses a combination of bits to perform specific computational taks. all at much higher efficiency than their classical counterparts. development of quantum computers mark a leap forward in computing capability, with massive performance gains for specifig use cases. […]

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Machine Learning

Robbing the FED: Directly Obtaining Private Data in Federated Learning with Modified Models

This repo contains a barebones implementation for the attack detailed in the paper: Fowl L, Geiping J, Czaja W, Goldblum M, Goldstein T. Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. arXiv preprint arXiv:2110.13057. 2021 Oct 25. Left: batch of 64 ImageNet images. Right: Images reconstructed with imprint module containing 128 bins placed in front of a ResNet-18. Average PSNR: 70.94. Abstract: Federated learning has quickly gained popularity with its promises of increaseduser privacy   […]

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