hal2001,a non ,github

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

stan_intro

Draft introduction to probability and inference aimed at the Stan manual.

stan_workshop_2016

Bayesian Modeling using Stan in R (May/June 2016)

stancon18

A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.

stanford-algos-1

Design and Analysis of Algorithms - 1 (from Stanford University)

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

staplr

PDF Toolkit. :paperclip: :hammer: :wrench: :scissors: :bookmark_tabs: :file_folder::paperclip:

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) course at University Wisconsin-Madison

stat479-machine-learning-fs18

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

staticdocs

Generate static html documentation for an R package

statistical-rethinking-with-python-and-pymc3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

statsmodels

Statsmodels: statistical modeling and econometrics in Python

sticky-hdphmm-demo

Sticky hierarchical Dirichlet process hidden Markov model for time series denoising

stock-market-probabilities-deep-learning

Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulation

stock_price_prediction

DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices

stockmarketcrashprobability

Visualization of logistic regressions for forecasting stock market crash probability using Shiller CAPE

stockprediction

Data and code of my Medium story on stock prediction with TensorFlow

stockprediction-1

Plain Stock Close-Price Prediction via Graves LSTM RNNs

stockprediction-2

決定木、SVM、LSTMを使った株価変動予測

stockpredictionrnn

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

stockpricepredictionusinghmm_byte

Source Code for Stock Price Prediction Using HMM

stockquote

Gets stock quotes from Yahoo and Google Finance, and historical prices from Yahoo Finance.

stocks

A free, lightweight, blazing-fast static page to get stock quotes using the IEX API

stocksight

Stock analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

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