wegiangb

AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

carla

Open-source simulator for autonomous driving research.

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

pyflux

Open source time series library for Python

troika

A JavaScript framework for interactive 3D and 2D visualizations

arch

ARCH models in Python

adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

luminaire

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

skyline

Anomaly detection

deltapy

DeltaPy - Tabular Data Augmentation (by @firmai)

atspy

AtsPy: Automated Time Series Models in Python (by @firmai)

SpotiByeAds

Skip spotify ads by automatically restarting application when ad plays

geos-chem

GEOS-Chem "Science Codebase" repository. Contains GEOS-Chem science routines, run directory generation scripts, and interface code. This repository is used as a submodule within the GCClassic and GCHP wrappers, as well as in other modeling contexts (external ESMs).

OSAS

One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning.

GAAL-based-outlier-detection

GAAL-based Outlier Detection

anfis-pytorch

Implementation of ANFIS using the pyTorch framework

Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-

Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based) settings for anaomaly detection in time series data

pykliep

A density ratio estimator package for python using the KLIEP algorithm.

UNet-AerialSegmentation

A PyTorch implementation of U-Net for aerial imagery semantic segmentation.

pyh3

An implementation of the H3 graph layout algorithm in pure Python

deep-learning-time-series-anomaly-detection

An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'

randomforest-density-python

Random Forests for Density Estimation in Python

Monte_Carlo_atmospheric_plume

Air plume dispersion model, written in R - Monte Carlo mode enables multiple realizations

bigdata_taxi_airquality

Using NYC Taxi Data as a Predictor of Urban Air Quality

Mendeleev.io

The online chemistry engine.

airsift3

Version 3 of the Airsift platform for viewing, analyzing and storying citizen data on air quality. Part of the AirKit toolkit by Citizen Sense (2020).

Air-Pollution-Prediction-DL

This repository inclludes a deep learning model for predicting the air pollution value for the next hour based on the pollution data of past 1 year hour by hour. The dataset contains reports on the weather and the level of pollution each hour for five years at the US embassy in Beijing, China.

market-data-visualization

D3.js

changepoint_regression

anomaly-detection-about-air-pollution-data