miroc911 Goto Github PK

12-month-forecast-with-lstm

This is an example of LSTM used to forecast the next 12 months on the Air Passengers dataset.

advanced_hyperopt_fopdt

ai-predictivemaintenance

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

anomaly-detection

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

avenir

Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/

awesome-apache-airflow

Curated list of resources about Apache Airflow

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

basiss

Broad Area Satellite Imagery Semantic Segmentation

batchsparkscoringpredictivemaintenance

Batch scoring Spark models on Azure Databricks: A predictive maintenance use case

bayesianlstm

Bayesian LSTM Implementation in PyTorch

bootcamp

Caltech Introduction to Programming for the Biological Science Bootcamp

cellprofiler

An open-source application for biological image analysis

cosmiq_sn7_baseline

The SpaceNet 7 Baseline Algorithm

cowc

Cars Overhead With Context related scripts described in Mundhenk et al. 2016 ECCV.

data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

deep-loglizer

deeplearninginmedicalimagingandmedicalimageanalysis

deeplog

Pytorch Implementation of DeepLog.

docker-elk

The Elastic stack (ELK) powered by Docker and Compose.

ecole

Extensible Combinatorial Optimization Learning Environments

elastic-stack-docker-part-one

Getting up and running with Elastic Stack on Docker-Compose

energy-weather-modelling

Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and temperature data.

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

fissa

A Python toolbox for Fast Image Signal Separation Analysis, designed for Calcium Imaging data.

free-data-science-learning

gcn

Implementation of Graph Convolutional Networks in TensorFlow

govuk-rota-generators

Generates rotas for GOV.UK teams.

graph_convolutional_networks_node_classification