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spark

Apache Spark - A unified analytics engine for large-scale data processing

spark-corenlp

Stanford CoreNLP wrapper for Apache Spark

spark-deep-learning

Deep Learning Pipelines for Apache Spark

spark-knowledgebase

Spark Knowledge Base

spark-nlp

Natural Language Understanding Library for Apache Spark.

spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

spark-sql

Apache Spark using SQL

spark-the-definitive-guide

Spark: The Definitive Guide's Code Repository

spark-training

Apache Spark training material

spark-workshop

Apache Spark™ and Scala Workshops

sparqlquery

A fork of telescope, a SPARQL query building library for Python

spearmint

Spearmint Bayesian optimization codebase

splunk-tutorial

squad

Building QA system for Stanford Question Answering Dataset

srm-nlp-workshop-2019

Code, Notes, Slides, Data

stacked_autoencoder-basic_version

用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调

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

stanford-cs231

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

stanford-statistical-learning

Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey to finally try and complete this course after leaving it mid-way atleast 3-4 times due to other commitments!

stanfordnlp

Official Stanford NLP Python Library for Many Human Languages

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

stock-market-prediction

stock_market_prediction

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

streaming-pipelines

strsum

A code for "Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking" in ACL2019

strustutorials

Tutorials for the strus search engine

study_notes

some of our "reMarkable" whiteboard study notes

style-transfer-with-pytorch

Implementing the Style Transfer Paper by Gatys in PyTorch. Using pretrained models to transfer arbitrary style onto arbitrary images.

sum

js utility for summarizing large bodies of text using a basic sentence relevance ranking algorithm