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seeing-motion-in-the-dark

Seeing Motion in the Dark. ICCV19

seekwell

SeekWell, SQL for Data Analysts

seep

A transformation and data extraction language on top of JSON Schema

segcaps

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

segment2datadog

Simple Flask app to forward Segment events to Datadog.

segregation

Segregation Analysis, Inference, and Decomposition

sehyoun.github.io

SeHyoun's Website

seir_covid19

SEIR model for COVID-19 infection, including different clinical trajectories of infection

seirsplus

Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

seismic-transfer-learning

Deep-learning seismic facies on state-of-the-art CNN architectures

selection-via-proxy

selective-inference

Python software for selective inference

selectize.js

Selectize is the hybrid of a textbox and <select> box. It's jQuery based and it has autocomplete and native-feeling keyboard navigation; useful for tagging, contact lists, etc.

selectstarsql

An interactive SQL book

selectstatisticsabc.jl

Julia code for selection of auxiliary statistics for Approximate Bayesian Computing

selenium

Automatic google image scrapper using python and selenium.

selenium-1

A browser automation framework and ecosystem.

self-driving-car

Self Driving car implementation using CNN

self-driving-car-demo

Self Driving Car Demo for Fresh Machine Learning #6

selfbib

My papers

selfdriving_car_engineer

selftaughtlearning

Self-taught learning exercise from http://ufldl.stanford.edu/

semantic-http-spec

Specification of a semantic resource protocol building on HTTP. Specifies additional headers and content on HTTP requests and responses to support rich discovery of schema and semantic web data for resources made available via HTTP.

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-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

semanticizer

Entity Linking for the masses

semanticsegmentation_dl

Resources of semantic segmantation based on Deep Learning model

semi-supervised_neural_network

A deep ladder model that incorporates unlabeled data to classify images of digits

seminars-fivt

Seminars on optimization methods for DIHT MIPT

semnet-similarity

NLE implementation of similarity computation using semantic networks.