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starship

☄🌌️ The cross-shell prompt for astronauts.

start-here

:bulb: A Quick-start Guide for People who want to dwyl :heart: :white_check_mark:

startrack-js

GitHub star history and stats - based on JavaScript only!

startupdatascience

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

stathub-go

A smart Hub for holding server stat

static-site-boilerplate

A better workflow for building modern static websites.

statistical-learning

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

stats

macOS system monitor in your menu bar

steamlens

A tutorial steam video game recommender system based on Flask and gorse

steganography

python实现的一个基于LSB进行图像隐写的程序

steppy

Lightweight, Python library for fast and reproducible experimentation :microscope:

steward

A command launcher for Chrome

stf

Control and manage Android devices from your browser.

stitching

A Python package for fast and robust Image Stitching

stock-knowledge-graph

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

stock-trading-environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

stockfish

UCI chess engine

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stocktalk

Data collection toolkit for social media analytics

storage

根据infohash抓取metadata并存储

strap

:boot: Bootstrap your macOS development system.

streama

Self hosted streaming media server.

streamlit

Streamlit — The fastest way to build custom ML tools

streamlit-allennlp

allennlp + streamlit demo

streetmerchant

:robot: Autonomous robot for all your electronic needs

striker

Striker is an offensive information and vulnerability scanner.

stronghold

Easily configure macOS security settings from the terminal.

structured-self-attention

A Structured Self-attentive Sentence Embedding