salian's repositories
btc-incomplete-key
Recover missing fragments of BTC keys by brute force or randomization.
pipi-gherkin-firmware
Firmware for the PiPi Gherkin
eth-address-verifier
A Python script to generate or verify an Ethereum Account Address and its Contract Addresses, using your recovery phrase or private key
24online-autologin
Script to automatically login to a 24online internet account
aiomultiprocess
Take a modern Python codebase to the next level of performance.
AIsteroid
Artificial Intelligence in the Search for Asteroids
btc-address-verifier
A Python script to verify (i.e. generate) a BTC Address, using your private key. Accepts private keys in bulk.
raspi-instock
Find a Raspberry Pi locally (India)
covid-vaccine-booking
This very basic script can be used to automate COVID-19 vaccination slot booking on India's Co-WIN Platform.
Cryptocurrency-Trading-Bots-Python-Beginner-Advance
Crypto Trading Bots in Python - Triangular Arbitrage, Beginner & Advanced Cryptocurrency Trading Bots Written in Python
django-db-mailer
Django module to easily send emails/sms/tts/push using django templates stored on database and managed through the Django Admin
django-push-notifications
Send push notifications to mobile devices through GCM or APNS in Django.
ethereum-boilerplate
The ultimate full-stack Ethereum Dapp Boilerplate which gives you maximum flexibility and speed. Feel free to fork and contribute. Although this repo is called "Ethereum Boilerplate" it works with any EVM system and even Solana support is coming soon! Happy BUIDL!👷♂️
jlcpcb-eagle
EAGLE cad helpers for JLCPCB production and assembly services
koalixcrm
koalixcrm is an Open Source Python CRM and ERP based on django
STOCK-PRICE-PREDICTION-USING-TWITTER-SENTIMENT-ANALYSIS
The coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean our data or tweets ( like removing special characters ). After that we perform sentiment analysis on the twitter data and plot it for better visualization. The we fetch the STOCK PRICE from yahoo.finance and add it to the data-set to perform prediction. We apply many machine learning algorithms like (random forest, MLPClassifier, logistic regression) and train our data-set. Then we perform prediction on untrained data and plot it with the real data and see the accuracy.
web3-flashbots
Web3.py plugin for using Flashbots' bundle APIs