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rescal.py

Python module to compute the RESCAL tensor factorization

rrcf

🌲 Implementation of the Robust Random Cut Forest Algorithm for anomaly detection on streams

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

saliency

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

scalafix

Refactoring and linting tool for Scala

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

scikit-tensor

Python library for multilinear algebra and tensor factorizations

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

securitai-lstm-model

sensapp-android-client

A client application for SensApp-Android collecting data from sensors available on smartphones and tablets

sensor-fusion

Use accelerometer and gyroscope data from smartphones to identify vehicle type (bus or car) and phone location (driver side or passenger side).

seq2seq

Sequence to Sequence Learning with Keras

seqfm

A pytorch implementation of SeqFM(Sequence-Aware Factorization Machines for Temporal Predictive Analytics.) [ICDE20]

shap

A unified approach to explain the output of any machine learning model

simplesvclustering

A simple implementation of support vector clustering in only python/numpy

sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

sklearn_tda

Open source library for combining TDA and Machine Learning

skorch

A scikit-learn compatible neural network library that wraps pytorch

skpro

Supervised domain-agnostic prediction framework for probabilistic modelling

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

sorting

Various Sorting Algo

spark-jobserver

REST job server for Apache Spark

sparkmagic

Jupyter magics and kernels for working with remote Spark clusters

sparkpinkmst

sparkpractice

Spark Practice

spotlight

Deep recommender models using PyTorch.

srcnn-tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning