ghanima Goto Github PK

sherlock

🔎 Find usernames across social networks

signale

👋 Hackable console logger

singer

A high-performance, reliable and extensible logging agent for uploading data to Kafka, Pulsar, etc.

skaffold

Easy and Repeatable Kubernetes Development

slideware

Slides, presentations, stuff like that.

snell

An encrypted proxy service program

software-architecture-handbook

Links to awesome resources about software architecture and related topics

sonic

🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.

soup

Web Scraper in Go, similar to BeautifulSoup

space-cloud

Space Cloud is an open source, web server that provides instant Realtime APIs on any database of your choice. Build highly scalable apps with the agility of a prototype!

spacy-course

👩‍🏫 Advanced NLP with spaCy: A free online course

spekt8

Visualize your Kubernetes cluster in real time

spinningup

An educational resource to help anyone learn deep reinforcement learning.

sqler

write APIs using direct SQL queries with no hassle, let's rethink about SQL

sqlflow

Brings SQL and AI together.

sqlserver-kit

Useful links, scripts, tools and best practice for Microsoft SQL Server Database

squeezer

Squeezer Framework - Build serverless dApps

sre-interview-prep-guide

Site Reliability Engineer Interview Preparation Guide

stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

starred-repo

:zap: Collection of Starred Repos to find them easily

startup-must-watch

startup-resources

Curated list of startup resources

startupreadings

Reading list for all things startup-related

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.

supercrawler

A web crawler. Supercrawler automatically crawls websites. Define custom handlers to parse content. Obeys robots.txt, rate limits and concurrency limits.

supergloo

The Service Mesh Orchestration Platform

system-architecture-awesome

A collection of awesome system architecture

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.