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scikit-learn-machine-learning-simplified

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scikit-learn.github.io

Scikit-learn website hosted by github

scikit-opt

genetic algorithm, Particle swarm optimization in Python

scikit-rvm

Relevance Vector Machine implementation using the scikit-learn API.

scikit-sos

Stochastic Outlier Selection

scikit-tensor

A port of the MATLAB Tensor Toolbox to python.

scipy

Scipy main repository

scma-mcae

A Spatially Constrained Multi-Autoencoder Approach for Multivariate Geochemical Anomaly Recognition and a MCAE approach for multivariate geochemical anomaly recognition

scoop

SCOOP (Scalable COncurrent Operations in Python)

scoop-1

A command-line installer for Windows.

screentogif

ScreenToGif allows you to record a selected area of your screen and save it as a gif or video.

script_landsat

Scripts for processing landsat data

scripts

Collection of scripts that you could you to make stuff and things

scripts-1

General purpose scripts

sctd

Shape Constrained Tensor Decomposition (SCTD)

sdc-semantic-segmentation

Pixels of a road in images are labeled using a Fully Convolutional Network (FCN)

sdc_nd_t3p2_semantic_segmentation

Use a fully-convolutional-network to label the road in a set of images

sdne-keras

Keras implementation of Structural Deep Network Embedding, KDD 2016

sds

Code for SDS

sds_eccv2014

seed-cli

Algorithm developer CLI supporting Seed compliant image publish and testing.

segment_tree4semisupervised-classification

Semi-Supervised Classfication for Hyperspectral image based on Segment-tree and SELF.

segmentation_keras

DilatedNet in Keras for image segmentation

segmentationaidedregistration

Use the segmentation (binary map) to help registration of the corresponding grayscale images. This improves the registration accuracy in particular at the segmetnation target region.

segnet

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

segnet-1

A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

segnet-tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

self-driving-cars-simulation-based-on-cellular-automata

Based on Cellular-Automata, we simulate the multi-lane traffic model of self-driving cars

selfdrivingcar_term3-semanticsegmentation

Label the pixels of a road in images using a Fully Convolutional Network (FCN).