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s4_wiki_topic_grapher

Leverage the power of the Google Natural Language API NLP to retrieve entity relationships from Wikipedia URLs or topics! Get interactive networkx graphs of connected entities!

sc-lstm

Implement SC-LSTM model for text generation in control of words, in Python/TensorFlow

schneiderman

Predictive analytics for daily fantasy basketball.

scrape-course-list-and-detail-in-udemy

In this project, I created an open-source to scrape the course detail from Udemy website with Beautiful Soup and JSON.

scraper

Python-based Web Scraper script

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

scrapy-admin

A django admin site for scrapy

scrapy-djangoitem

Scrapy extension to write scraped items using Django models

scrapy-with-django

Crawler is made by scrapy and server is made by django

scrapy_django

A sample repository to show to how to use django project with scrapy

scrapy_model

A helper to create web scrapers using scrapy selector in a Model based structure

scrapyd-django-template

Basic setup to run ScrapyD + Django and save it in Django Models. You can be up and running in just a few minutes

scrapyrt

HTTP API for Scrapy spiders

scrapyz

"Scrape Easy" - an extension of the Scrapy framework.

screeni-py

A Python-based stock screener to find stocks with potential breakout probability from NSE India.

screentogif

🎬 ScreenToGif allows you to record a selected area of your screen, edit and save it as a gif or video.

screenwriter

A simple online screenwriting app

search-engine-parser

Lightweight package to query popular search engines and scrape for result titles, links and descriptions

searchenginescrapy

Scrape data from Google.com, Bing.com, Baidu.com, Ask.com, Yahoo.com, Yandex.com

sector-rotation

sector-rotation-1

sector-rotation-rnn

A simple, self-coded recurrent neural network that uses weekly changes in 10 major sector ETFs to predict which sectors will grow in the coming weeks.

sector-rotation-strategy

Equity Trading Strategy using systematic sector rotation. The strategy is based on part 1 (Rate of Change) of the paper written by Paolo Sassetti and Massimiliano Tani in 2003. The code implements the trading strategy using the 19 different sectors classified on BSE in India.

sector-rotation-strategy-1

In this paper we investigate whether it is possible to earn excess return in ETF market using our sector rotation strategy. In general, our sector rotation strategy is to buy the ETFs based on the information of the last year. And we have designed four methods to perform our sector rotation strategy:

sector_rotation_final_project

Using LSTM to execute a sector rotation trading strategy

sectorcorrelation

App to find and display stock correlation

sectorrotation

selecsls-pytorch

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

selenium-webscraping-example

In this tutorial we will build a web scraping program that will scrape a Github user profile and get the Repository names and the Languages for the pinned repositories.

semantic-pdf-splitter