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soumith-torch7-sfnextml2015

Torch7 Workshop

spacy

Industrial-strength Natural Language Processing with Python and Cython

spark-cassandra-collabfiltering

Collaborative filtering with MLLib on Spark based on data in Cassandra

sparkling-water

Sparkling Water provides H2O functionality inside Spark cluster

sparktable

sparkTable: Sparklines and graphical tables for tex and html

sparse-filtering

Unsupervised feature learning based on sparse-filtering

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.

sparsefiltering

Sparse Filtering

spearmint

Spearmint Bayesian optimization codebase

sssd

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

stanford_dl_ex

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

start-machine-learning

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

startups-success-analysis

stat-learning

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

stat451-machine-learning-fs21

statespacemodels

Recipes for creating state-space models in R

statistical_simulation_in_python

statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

stellargraph

StellarGraph - Machine Learning on Graphs

stock

Stock Market Prediction using HMM

stock-1

Stock Market Prediction Using Unsupervised Features

stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

stock_prediction

Pytorch implentation of stock prediction via LSTMs

stockinference-spark

Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.

stockprediction

CS6101 Group Project on Stock Trading using RL

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockpriceanalytics

Sample Shiny app