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simple_tensorflow_serving

Generic and easy-to-use serving service for machine learning models

simpledeblurnet

simpleparser

Simple first order graph-based natural language parser.

simplequeryparserplusplus

A simple C++ query parser using flex and bison

simplereinforce

single-layer-convnet

sir-pf

skboost

MILBoost and other boosting algorithms, compatible with scikit-learn

sketch-rnn

Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow

sketch_rnn_keras

Keras implementation of Sketch RNN

sketchingai

Sketching AI, based on a convolutional neural network and genetic algorithm

skimage-demos

skimage-tutorials

Scikit-image tutorials

skimcaffe

Caffe for Sparse Convolutional Neural Network

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

skipgram-word2vec-keras

sklearn_pycon2014

Repository containing files for my PyCon 2014 scikit-learn tutorial.

skylightanalyzer_v12

天亮分词器第12个小版本

slic

SLIC superpixel for python

slim-news2img

Tensorflow official models，with massive changes in slim for Sohu Competition

slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

smalify

This repository contains an implementation for performing 3D animal (quadruped) reconstruction from a monocular image or video. The system adapts the pose (limb positions) and shape (animal type/height/weight) parameters for the SMAL deformable quadruped model, as well as camera parameters until the projected SMAL model aligns with 2D keypoints and silhouette segmentations extracted from the input frame(s).

smart_open

Utils for streaming large files (S3, HDFS, gzip, bz2...)

snake

snake-1

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

snapshot-ensembles

Snapshot Ensemble in Keras

snownlp

Python library for processing Chinese text

sofia-ml-mod

sofia-kmeans with sparse RBF cluster mapping

soft-nms

Object Detection

sohu-luckdata-image-text-matching-competition

Sohu 2017 competition. We won the third prize.