bkramesh64 Goto Github PK

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

bearing_case

Notebooks and code used to work out the bearing case as detailed on databoers.com

bkramesh64

Config files for my GitHub profile.

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

concurrency_fsharp

concurrency_fsharp

datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

deep-rl

Collection of Deep Reinforcement Learning algorithms

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

group-anomaly-detection

GRAND: Group-based Anomaly Detection for Large-Scale Monitoring of Complex Systems

gsap

Generic Software Architecture for Prognostics (GSAP)

intellimaint-1

jgesche.github.io

lstm-autoencoders

Anomaly detection for streaming data using autoencoders

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

my_nupic

Nupic

nupic.cpp

Community fork. Implementation of core NuPIC algorithms in C++ (under construction)

particles

Sequential Monte Carlo in python

probabilistic-programming

Notebooks for probabilistic programming

prog_models

The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.

prognosticsalgorithmlibrary

prognosticsmodellibrary

skillsnetwork

tml_fe

tmlfe

tsfresh

Automatic extraction of relevant features from time series: