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snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

snorkel

A training data creation and management system focused on information extraction

sotawhat

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spacy-cld

Language detection extension for spaCy 2.0+

spacy-ner-annotator

Train Spacy ner with custom dataset

spark

Mirror of Apache Spark

spark-1

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

spark-examples

Word count and some basic log file parsing and analytics

spark-nlp

Natural Language Understanding Library for Apache Spark.

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

speech-language-processing

A curated list of speech and natural language processing resources

sphinxbase

sphinxtrain

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

starspace

Learning embeddings for classification, retrieval and ranking.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

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.

swift

Swift for TensorFlow project home page

system-design-primer

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

t-digest

A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means

tailwindtraders

Tailwind Traders Demo

tdi-studio-se

teachable-machine-boilerplate

Boilerplate code for Teachable Machine

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorboard

TensorFlow's Visualization Toolkit

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-windows-wheel

Tensorflow prebuilt binary for Windows