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smilecnn

Smile detection with a deep convolutional neural net, with Keras.

smooth-topk

Smooth Loss Functions for Deep Top-k Classification

smt-semparse

Semantic parsing as machine translation

snake

Toy example of deep reinforcement model playing the game of snake.

snapshot-ensembles

Snapshot Ensemble in Keras

snapshotensemble

snli-attention

SNLI with word-word attention by LSTM encoder-decoder

snli-entailment

attention model for entailment on SNLI corpus

snorkel

A lightweight platform for developing information extraction systems using data programming

so-simple-theme

:art: A simple and clean responsive Jekyll theme for words and photos.

social-attention

Code for the TACL paper "Overcoming Language Variation in Sentiment Analysis with Social Attention"

socialsent

Code and data for inducing domain-specific sentiment lexicons.

sodeep

sofm-haykin

Self Organized Feature Map (SOFM) - Haykin 1999 - Animal Classification

soft-decision-tree

pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"

sound-cnn

A convolutional neural network that classifies sounds

soundnet

SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016

spaceinvaders

A clone of Space Invaders, but with rectangles.

spaceshooter

:video_game: The classic retro game recreated using Pygame and python

spacy

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

spam

Bayesian spam filter

spammy

spammy: Spam filtering made easy for you

spark-mllib-scala-play

Twitter sentiment analysis based on Apache Spark, MLlib, Scala and Akka.

spark-streaming

Spark Streaming - Twitter

sparknet

Distributed Neural Networks for Spark

sparse_recovery

noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing

sparseconvnet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

sparsemax

sparsemax.torch

Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"

spatial-reasoning

Code for the paper "Representation Learning for Grounded Spatial Reasoning"