Stars
Flight trajectory optimizer with non-linear optimal control
Reinsurance is a python package that intends to provide a framework for reinsurance computation.
Interactive tutorial to build a learning Mario, for first-time RL learners
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
MLup is framework for easy and fast run ML in production
These are the scripts to conduct the data-preprocessing for the STORM model. IMPORTANT: Please be aware that these scripts are not maintained and NO support is provided!! Input data is taken from I…
This is the STORM (Synthetic Tropical cyclOne geneRation Model) Model. Input for this model is generated via the STORM data preprocessing scripts, see respective repository. IMPORTANT: Please be aw…
These scripts are used to calculate the wind speed return periods from the STORM dataset. IMPORTANT: Please be aware that these scripts are not maintained and NO support is provided!!
❗ This is a read-only mirror of the CRAN R package repository. AIPW — Augmented Inverse Probability Weighting. Homepage: https://github.com/yqzhong7/AIPW Report bugs for this package: https://githu…
AWS Entwine Point Tiles USGS LiDAR Public Dataset GitHub repo
A python Package to extract lidar data from the USGS Big Data Store, Transform and Build Analytics on it.
Utilities using PDAL and PCL to create DTMs, DSMs, and CHMs from lidar data
Converts LAS Files (LIDAR data) to DSM/DEMs with an optional shapefile / kml file to clip to.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Automatically exported from code.google.com/p/xsaitekpanels
Convert FlightAware KML tracklogs to G1000 CSV for importing to ForeFlight
A high-performance algorithmic trading platform and event-driven backtester
Scikit-learn style cross-validation classes for time series data
Sample for training an agent which mimics a cab driver to gain maximum profits by picking the correct rides. The agent is trained using deep Q-learning training techniques.
A simple, easy, customizable Gymnasium environment for trading.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Wind resource assessment with the Global Wind Atlas
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estima…
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Open Source ASCOM-Compatible Flat Panel For Astrophotography
A package for combining dithered images into a single image