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stackrabbit

An AI for playing NES Tetris at a high level. Based primarily on search & heuristic, with high quality board evaluation through value iteration.

stadeo

Control-flow-flattening and string deobfuscator

stadium-py

STADIUM-Py is a Python software tool that fully automates the receiver function technique (RF) and shear wave splitting (SKS) measurement analysis.

staff-detect

Staff detection for computer generated and handwritten scores

staff.js

A JavaScript library for displaying notes on a music staff. 🎼

stageshow

Center your face!

stallion-discoverer

stanet

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

stanzademo

These packages offer accurate syntactic analysis and named entity recognition capabilities for biomedical and clinical text.

stardew_dashboard

starlite

Light, Flexible and Extensible ASGI API framework

stashpoint

A python script to upload a folder to a SharePoint document library.

stat_rethinking_2022

Statistical Rethinking course winter 2022

statistics_canada

In this project, we will analyze the data set collected form statistic Canada and try to understand the steps the Canadian government is taking to counter global warming and air pollution occurring through Electricity generation and transportation. First, we will analyze the dataset of air pollution in Canada. From this, we will see how the concentration of carbon oxide, nitrogen oxide and sulphur oxide gases in the atmosphere is changing from year 1990 to 2018. We will see what the factors are affecting the concentration of these gases in the atmosphere. For this analysis, we will only focus on electricity generation and transportation in Canada. After that we will analyze the power generation of Canada from year 2008 to 2019. We will discuss the source of electricity and power generating capacity of different states of Canada. Then we explain which states are leading in generating power economically and discuss the implementation of new solar and wind power generation in various states, and how government is promoting these sources of electricity generation. At last, we will analyze the data about the sales of vehicles by fuel types from year 2011to 2018. We will see how sales of battery electric vehicles;hybrid electric vehicles and plug-in hybrid electric vehicles are changes through time. Then we will predict the future market of these vehicles and how it will affect the environment and the climate change.

steamautoinstaller

A python script to automatically install every Steam game you have

steganograpy

A program to hide text messages inside images.

stellargraph

StellarGraph - Machine Learning on Graphs

steno

Steganographic implementation in images, audio and text files

step_into_mips

一步一步写MIPS CPU

stn-scheduler

A Python module for the modeling and scheduling of State Task Networks.

stochastic

Generate realizations of stochastic processes in python.

stock-market-prediction-using-numerical-and-textual-analysis

stock-market-price-prediction

Predication of stock market price using different machine learning models

stock-prediction-time-series-analysis

Performed time series analysis using ARIMA model in python on online retail dataset.

stock-prediction-using-different-models

A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models performed.

stock-sentiment-analysis

stock-time-series-analysis

Mathematical modeling for finantial time series data

stock-viz

Data collection architecture for stock mentions in Reddit

stocksent

A Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results.

stop_phishing