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segmentation_models

Segmentation models with pretrained backbones. Keras.

semantic-search-for-sustainable-development

Semantic Search for Sustainable Development is experimental code for searching documents for text that "semantically" corresponds to any of the UN's Sustainable development goals/targets. For example, it can be used to mine the national development plan documents of a country and identify pieces of text that correspond to any of the SDGs in order to verify alignment of the plan with the SDGs.

semantic_search

🔍 Quickly find content, data, and groups related to climate change.

sematch

semantic similarity framework for knowledge graph

semeval

SemEval 2017 task 5 track 2 codebase.

semeval-2017-task-5

Source code for submission of RiTUAL-UH in the SemEval 2017 Task 5

senet-for-weakly-supervised-relation-extraction

sentence2vec

Sentence2vec as described in A SIMPLE BUT TOUGH TO BEAT BASELINE FOR SENTENCE EMBEDDINGS by Sanjeev Arora, Yingyu Liang, Tengyu Ma

sentiment-analysis-in-event-driven-stock-price-movement-prediction

Use NLP to predict stock price movement associated with news

sentiment-analysis-twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

sentiment_classifier

Sentiment Classification using Word Sense Disambiguation

sert

Semantic Entity Retrieval Toolkit

shiny

Easy interactive web applications with R

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

simple-neural-network

A simple Python script showing how the backpropagation algorithm works.

skip-thoughts

sklearn-expertsys

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

snips-nlu

Snips Python library to extract meaning from text

sonnet

TensorFlow-based neural network library

spacy-notebooks

💫 Jupyter notebooks for spaCy examples and tutorials

spade

Semantic Image Synthesis with SPADE

spark

Mirror of Apache Spark

sparkit-learn

PySpark + Scikit-learn = Sparkit-learn

sql-pandas-tutorial

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

starbuck_capstone

An Udacity DSND Capstone - Starbucks Challenge

stat-learning

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

statistical-analysis-python-tutorial

Statistical Data Analysis in Python

statistical-learning

Coursework for COMP3354 Statistical Learning

statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).