Retinal Vessel Segmentation with Pixel-wise Adaptive Filters (ISBI 2022)
This is the official code of Retinal Vessel Segmentation with Pixel-wise Adaptive Filters and Consistency Training (ISBI 2022). We evaluate our methods on three datasets, DRIVE, CHASE_DB1 and STARE. You can download the three datasets from Google drive.Of course, you can download the dataset from DRIVE, CHASE_DB1 and STARE respectively. Requirement Refer to Pytorch to install Pytorch >= 1.1. pip install -r requirements.txt Config file
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Coding Club prediction ig
Coding Club prediction ig Basically:Create an application that displays trendsShould implement a graph (either bar or line)Should take input parameters into accountList of parameters:Has it been tweeted aboutHow many followers does the tweeter haveAre they verifiedIs their tweet positive or negative (this will be hard to algorithmically tell)Prices of other coins/predicted future prices of other coinsStock market prosperityPast trendsAmount in circulationUser should be able to mouse over graph and see specific data pointsShould be able to calculate profits/lossesShould take user […]
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Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms
Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms using Logistic Regression. Clone the Repository git clone https://github.com/smv5467/pcos-prediction Add Dependencies with Poetry If you don’t have poetry install with: curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python – poetry install Download Data Retrieve data from Kaggle: https://www.kaggle.com/prasoonkottarathil/polycystic-ovary-syndrome-pcosDownload PCOS_data_without_infertility.xlsxOpen excel file and save as a CSV file under the same name Run program poetry run python pcos_predictor.py GitHub View Github
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osmo python client library
Version 0.0.2 Tools for Osmosis wallet management and offline transaction signing Installing Installing from PyPI repository: Installing from source code: git clone https://github.com/bro-n-bro/osmopy cd cyberpy pip3 install . Usage Generating a wallet from osmopy import generate_wallet wallet = generate_wallet() The value assigned to wallet will be a dictionary just like:
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FastAPI rate limit with python
Usage NOTE you have to define starlette.requests.Request as first argument
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A general-purpose wallet generator, for supported coins only
A general-purpose generator for keys. Designed for all cryptocurrencies supporting the Bitcoin format of keys and addresses. Functions To enable functions: Functions: ./main.py GET # GET will get either a new key if the database is found, or will make a new key object ./main.py DELETE # DELETE will delete a key if the database is found TODO GitHub View Github
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A guide to building basic malware in Python by implementing a keylogger application
A guide to building basic malware in Python by implementing a keylogger application.If you want even more detail on the Project view my Youtube Series linked here. Purpose of the Project This repository is made for the purpose of learning how basic malware can be created, obfuscated, and then deobfuscated for malware analysis. Through this repository, a fully working keylogger with the ability to exfiltrate data as well as persist on host machines will be presented. In addition to this, […]
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Add support for the 65C816 to py65
Py65 (https://github.com/mnaberez/py65) is a great simulator for the 6502. Recently I added support for interrupts (https://github.com/tmr4/py65_int) and a debug window (https://github.com/tmr4/py65_debug_window). After success with these modifications, I decided to try adding support for the 65C816. Luckily, py65 is open-source and enhancing it isn’t very difficult. This repository provides a framework for adding support for the 65C816 to py65. I’ve included the modules I’ve developed to simulate and test the 65C816. As noted below, a few modifications are needed to the […]
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