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rnn

Recurrent Neural Network library for Torch7's nn

rpsmf

Code for Probabilistic Sequential Matrix Factorization

sc-optimization

SC codes: optimization

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

sdv

Synthetic Data Generation for tabular, relational and time series data.

see-rnn

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

sentence-transformers

Sentence Embeddings with BERT & XLNet

sequential-variational-autoencoder

Implementation of Sequential Variational Autoencoder

shap

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

siliconcompiler

SiliconCompiler is an open source compiler framework that automates translation from source code to silicon.

siml

Machine Learning algorithms implemented from scratch

simons-ml

Notes from Simons Institute program "Foundations of Machine Learning"

simurgh

An open source platform that supports developing and evaluating algorithms (AI agents) for air traffic control

site-gdgnd

GDG New Delhi Website

sktime

A unified framework for machine learning with time series

skynet

P2P file sharing.

slides

LaTeX source code for the slides

spaghetti

SPAtial GrapHs: nETworks, Topology, & Inference

sparsehash

C++ associative containers

spatio-temporal-alignements

Spatio-temporal alignements: Optimal transport in space and time

spopt

Spatial Optimization

spvcm

multilevel spatially-correlated variance components models

spyketorch

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

stackgan

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

statdp

Statistical Counterexample Detector for Differential Privacy

statsmodels

Statsmodels: statistical modeling and econometrics in Python

steerable_pdos

Fork of the E2CNN library that adds support for equivariant partial differential operators

stein-variational-gradient-descent

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"