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hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

itmo_fs

Feature selection library in python

java-object-oriented-programming-labs

Java Object Oriented Lab Questions that I solved in 3. semester

jour491-data-visualization

Course materials for a data visualization course taught at the University of Nebraska-Lincoln's College of Journalism and Mass Communications

keras-applications

Reference implementations of popular deep learning models.

kisenpai

This library is intended to reduce the repetition of tasks in machine learning pipelines by providing a set of ready-to-use standard methods for various plug-and-play operations.

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machinelearning_appliedai

mifs

Parallelized Mutual Information based Feature Selection module.

ml-automated-feature-selection-

mlhelper

ML & DL helper Software

mltb

Machine Learning Tool Box

model-deployment-flask

'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

opentsne

Extensible, parallel implementations of t-SNE

parkinson-detection

A machine learning approach to detection of Parkinson's disease.

parkinson-s-disease-detection-using-gait-analysis

A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use of Gait Data Analysis to make powerful inferences which would help in genralizing the most common groups affected by this disease.

parkinsondetection-machinelearning

Machine Learning project on Tappy Keystroke Data with Parkinson's Patients

parkinsons-disease-digital-biomarker-dream-challenge

Prediction of Parkinson's Disease diagnosis

parkinsons-telemonitoring

Android app that tracks tremors and recommends follow up action

pdbchallenge

Parkinson's Disease Digital Biomarker Dream Challenge

pdbiomarkerchallenge

predictive-maintenance

Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)

psofeatureselection

A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.

pulsar-stars

Examining Feature Selection techniques with the Pulsar Stars data set

pydata_2016

Materials for talk at PyData London 2016

pylib

A Personal Library for Fast Data Analytics

pytorch-deep-learning

Deep Learning (with PyTorch)

qbso-fs

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

rankingfeatureselection

Feature selection algorithms for learning to rank