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49–72 of 88 · Most stars

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

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Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!

  • scholar
  • googlescholar
  • scholarly-articles
  • scholarly-communications

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

  • autonomous-driving
  • cooperative-driving-automation
  • simulation
  • connected-and-automated-vehicles

An OpenAI gym wrapper for CARLA simulator

  • carla-simulator
  • autonomous-driving
  • deep-reinforcement-learning
  • imitation-learning