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spacy-experimental

🧪 Cutting-edge experimental spaCy components and features

spacy-setfit-textcat

spacy-streamlit

👑 spaCy building blocks and visualizers for Streamlit apps

spark-nlp

State of the Art Natural Language Processing

spark-nlp-models

Models and Pipelines for the Spark NLP library

spark-nlp-workshop

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

spark-ocr-workshop

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

sparkdataset

Instant search for and access to many datasets in Pyspark.

sparkora

Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

spear

SPEAR: Semi suPErvised dAta progRamming

spectralembeddings

spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.

spectrum

Spectrum is an AI that uses machine learning to generate Rap song lyrics

spikex

SpikeX - SpaCy Pipes for Knowledge Extraction

spokestack-python

Spokestack is a library that allows a user to easily incorporate a voice interface into a Python application.

sqlmodel

SQL databases in Python, designed for simplicity, compatibility, and robustness.

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stanza

Official Stanford NLP Python Library for Many Human Languages

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

strimzi-kafka-operator

Apache Kafka running on Kubernetes

strip_interactive

Strip and execute interactive Python string in a Python script

styleformer

A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

stylegan-nada

stylegan3

Official PyTorch implementation of StyleGAN3

subformer

The code for the Subformer, from the paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo

superset

Apache Superset is a Data Visualization and Data Exploration Platform

svoice

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

swachhdata

sweetviz

Visualize and compare datasets, target values and associations, with one line of code.

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method