wegiangb

troika

A JavaScript framework for interactive 3D and 2D visualizations

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).

deltapy

DeltaPy - Tabular Data Augmentation (by @firmai)

atspy

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

arch

ARCH models in Python

GAAL-based-outlier-detection

GAAL-based Outlier Detection

changepoint_regression

randomforest-density-python

Random Forests for Density Estimation in Python

pykliep

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

anfis-pytorch

Implementation of ANFIS using the pyTorch framework

market-data-visualization

D3.js

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.

tensortrade

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

carla

Open-source simulator for autonomous driving research.

AirSim

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

UNet-AerialSegmentation

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

Monte_Carlo_atmospheric_plume

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

deep-learning-time-series-anomaly-detection

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

pyh3

An implementation of the H3 graph layout algorithm in pure Python

SpotiByeAds

Skip spotify ads by automatically restarting application when ad plays

luminaire

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

skyline

Anomaly detection

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

adtk

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

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.

bigdata_taxi_airquality

Using NYC Taxi Data as a Predictor of Urban Air Quality

anomaly-detection-about-air-pollution-data

pyflux

Open source time series library for Python