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acm

autoedasystem

autokeras

accessible AutoML for deep learning.

concept-drift

Algorithms for detecting changes from a data stream.

docker-elk

The ELK stack powered by Docker and Compose.

docker-stacks

Opinionated stacks of ready-to-run Jupyter applications in Docker.

ebook

classic books of computer science

ensemble-for-data-stream

Batch incremental ensemble approach

farewell

mother_in_law

fastai

The fastai deep learning library, plus lessons and and tutorials

git_tutorial

git tutorial

googleimgcrawler

incrementallearning

Implementation of incremental learning algorithms for Matlab.

incremetal_learning_reference

jsat

Java Statistical Analysis Tool, a Java library for Machine Learning

jszip-utils

kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

keras-tensorflow-financial-time-series-signal-forecast

Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM

kibana

:bar_chart: Kibana analytics and search dashboard for Elasticsearch

kitnet-py

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

kitsune-py

A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

machine_learning_for_good

Machine learning fundamentals lesson in interactive notebooks

ml-cheatsheet

Machine learning cheatsheet

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

models

Models and examples built with TensorFlow

neural-net-with-financial-time-series-data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

node-facenet

Solve face verification, recognition and clustering problems: A TensorFlow backed FaceNet implementation for Node.js.

online-learning

online-random-forests

Online Random Forests

projects.chrislkeller.com

Repo that contains code for much of the practice demos and hacking projects found on http://projects.chrislkeller.com/