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100-days-of-ml-code

100 Days of ML Coding

10qs_load_forecasting

Companion notebooks for the B&E paper on 'Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale'

2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2020_mpe_summer_school

https://webspace.science.uu.nl/~dijks101/styled-6/

30problems

7506

Trabajos prácticos de Organización de Datos

accident-prediction-montreal

Estimation of the road accident risk each hour on each road with a machine learning model trained using features derived from 3 big public datasets

advi

Interactive weather forecast visualization using Bokeh

aes-stats-147th

Analysis of papers from the 147th AES Convention in NYC

ai4em_mooc

ai4environment.io

ai4environment.io website

ai4ess-hackathon-2020-notebooks

aiml_symposium

For 2018 Artificial-intelligence and Machine-learning Symposium at University of Oklahoma.

ais

Automatic Identification System message parsing and generation for Haskell

ais-ship-tracking-receiver

Marine traffic monitoring system based on AIS for Marine Traffic

ams-2013-2014-solar-energy

ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

analog-solar-forecasting

Code for the figures of A.Ayet and P.Tandeo, Solar Energy

analysis_mendeley

Analysis Mendeley Documents

andes

Python Software for Power System Simulation 🔥

animegan2-pytorch

PyTorch implementation of AnimeGANv2

ann-encoded-abstract-flexibility

Repository for data from paper: "tbd"

anomaly-detection-comparison

Anomaly Detection Techniques Comparison using Scikit Learn

aperspectiveontechnology

A collection of the thoughts of people like Doug Engelbart, Bret Victor, Ted Nelson, Alan Kay and other programming luminaries of our generation.

applied-ml

📚 Curated papers, articles & videos on data science & machine learning applied in production, with results.

appliedenergy2021

This repository contains the test data and code used for the paper titled "Physics-Based Machine Learning Framework for Predicting NOx Emissions from Compression-Ignition Engine Powered Vehicles" that is submitted to the Applied Energy Journal

approachingalmost

Approaching (Almost) Any Machine Learning Problem

apress-ai

arcas

A tool designed to help scraping APIs for academic articles

arcgis-python-api

Documentation and samples for ArcGIS API for Python