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spi-cam

Intelligent surveilance for Raspberry Pi. Camera component.

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

ssd-plate_detection

SSD-based plate detection

ssd_keras

Port of Single Shot MultiBox Detector to Keras

ssd_keras-1

A Keras port of Single Shot MultiBox Detector

sse

Learning Supervised Scoring Ensemble for Emotion Recognition in the Wild, EmotiW 2017, ICMI 2017

ssr-net

[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

stacking

Stacked Generalization (Ensemble Learning)

stacking_ensembles

Stacking classification and regression

stanford-cs231

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

stanford-tensorflow-tutorials

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

state-farm

Kaggle State Farm competition, used for Udacity Machine Learning Nanodegree Capstone

state-farm-distracted-driver-detection

44th/1440team solution for state farm competition

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

statefarm

State Farm Distracted Driver Detection

stay-alert

Detecting driver alertness using Scikit-learn.

stn-ocr

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

stock-prediction-comparison

Test performance and reliability of machine learning models from ARIMA, Trees and Deep Learning for Stock Prediction

street_to_shop_experiments

studio

GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP

study

study-1

Simple implementations of general machine learning algorithms, different NNs & CNNs, Genetic and Evolutionary algorithms, and GANs

supermarket

This application lets you manage a medium sized supermarket billing.

supermarketshelfmanagement

Processes customer transaction data to determine frequent itemsets by implementing Park-Chen-Yu, Multistage and Toivonen

svm-cnn

A feature extractor based on Python 3, Tensorflow and Scikit-learn created in order to improve the accuracy of SVM to classify MNIST dataset fast and with more accuracy.

sx1278_lora

Basic LoRa SX1276, SX1277 and SX1278 driver for Arduino, Maple and STM32 HAL platforms.

syna

:revolving_hearts: Emotion Recognition based on Spatio-Temporal Machine Learning.

synthetic_gradients_explained

This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

talks