serenidpity Goto Github PK

scikit-image

Image processing in Python

scikit-learn

scikit-learn: machine learning in Python

seglearn

Python module for machine learning time series:

semisupervised_timeseries_infogan

A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.

seqlearn

Sequence learning toolkit for Python

shaplets-python

Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.

sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

sopt

SOPT: Sparse OPTimisation.

sparsenilm

The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

spectral_clustering

spectralcluster

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

srez

Image super-resolution through deep learning

ssm

Bayesian learning and inference for state space models

sta-663-2018

sticky-hdphmm-demo

Sticky hierarchical Dirichlet process hidden Markov model for time series denoising

stochastic

Generate realizations of stochastic processes in python.

sugartensor

A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.

supervised_infogan

A tensorflow implementation of informative generative adversarial network (InfoGAN ). I've added supervised loss to original InfoGAN.

swig

SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

talib-macd-example

An example of using TA-lib to render a MACD indicator using matplotlib in Python

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorboard

TensorFlow's Visualization Toolkit

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

timeseries_gan

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

tomopy

Tomographic Reconstruction in Python

tsfresh

Automatic extraction of relevant features from time series:

tslearn

A machine learning toolkit dedicated to time-series data