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A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)
[ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
Java map matching library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
新型コロナウイルス感染症（COVID-19）の国内における状況を厚生労働省の報道発表資料からビジュアルにまとめた。
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
The COVID19 Mobility Task Force will use data from Mobile Network Operators (MNOs) to support data-poor countries with analytics on mobility to inform mitigation policies for preventing the spread …
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
probabilistic multi-agent trip simulation with physically realistic GPS modeling
Open Location Code is a library to generate short codes, called "plus codes", that can be used as digital addresses where street addresses don't exist.
pandas, scikit-learn, xgboost and seaborn integration
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Simple and flexible progress bar for Jupyter Notebook and console
List of Data Science Cheatsheets to rule the world
Japan grid square code (JIS X 0410) utility for Python.
Keras Attention Layer (Luong and Bahdanau scores).
Mac homebrew tap for maintaining a stable work environment for the OSGeo.org geospatial toolset
Dimensional charting built to work natively with crossfilter rendered using d3.js
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
A Python package of tools to support population synthesizers
Computer generated building footprints for the United States