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simulatedannealing

Implementation of metaheuristic optimization using population-based simulated annealing.

sisr

PyTorch-SRGAN is a modern PyTorch implementation of SRGAN Single Example Super Resolution. PyTorch-SRGAN is a ServiceNow Research project that was started at Element AI.

slicer-deepinfer

3D Slicer Module for connecting to model repository and use models for image analysis.

sma-chip-level-real-world-low-light-video-denoising-based-on-scalable-motion-analysis

This is the Matlab source code of the paper "Chip-level Real-world Low-Light Video Denoising Based on Scalable Motion Analysis", which has been submitted in IEEE Trans on Multimedia

smote_tune

ICSE'18: Tuning Smote

smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

smoteiowa

smt

Surrogate Modeling Toolbox

sogwo_selective_opposition

selective grey wolf optimization with opposition based learning

spark-xkmeans

Extension to the standard K-Means implementation of Spark ML library

spikingnn_study

spmffork

Fork of the SPMF data mining library (cf. http://www.philippe-fournier-viger.com/spmf/)

ssd-lahc

A feature selection algorithm based on Social Ski Driver Optimization and Late Acceptance Hill Climbing

ssl-ecg-paper-reimplementaton

Reimplementation of the paper Sarkar and Etemad 2020 "Self-Supervised ECG Representation Learning for Emotion Recognition"

ssl-few-shot

SSL-FEW-SHOT

stlf

Short-term load forecasting with machine learning

stochannpy

StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic learning.

stochasticedl

Sample Average Approximation for Stochastic Programming with Equality Constraints

stockmarketprediction

Stock Market Prediction using Machine Learning done as a final year university project. It uses LSSVR to train the model and is programmed in R

stpca

stretch_tool_share

Design files and documentation for end-of-arm tools for Stretch robots

stylegan

StyleGAN - Official TensorFlow Implementation

super-resolution-noisy-images

Deep learning architectural designs for super-resolution of noisy images

symbolic_deep_learning

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

symbolicregression

A symbolic regression demo implemented in C#.

t-k-means

The implementation of our paper 't-k-means: A Robust and Stable k-means Variant', accepted by the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021.

tangent_loss_function

tcdf

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

technical

Various indicators developed or collected for the Freqtrade

tensorgp

A vectorized approach to Genetic Programming