Alternatives and similar repositories for meteors

Users that are interested in meteors are comparing it to the libraries listed below

• jhagenauer / gwann
  Geographically Weighted Artificial Neural Network
  ☆29Updated last month
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆58Updated 2 weeks ago
• fudonglin / CropNet
  ☆17Updated 2 years ago
• Orion-AI-Lab / mesogeos
  A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger f…
  ☆59Updated last year
• runesen / spatio_temporal_causality
  Towards causal inference for spatio-temporal data: conflict and forest loss in Colombia
  ☆25Updated 4 years ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆93Updated this week
• kelsdoerksen / airPy
  Generating AI-ready datasets in python for air quality and EO-related studies using Google Earth Engine
  ☆88Updated last year
• joshloyal / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆28Updated 2 years ago
• embed2scale / NeuCo-Bench
  Welcome to NeuCo-Bench, a benchmarking framework for evaluating compressed embeddings on downstream tasks.
  ☆25Updated 3 months ago
• SamComber / spacv
  Spatial cross-validation in Python.
  ☆48Updated last year
• microsoft / geospatial-ood-detection
  Implementation of an out-of-distribution detection method for geospatial deployments and its related experiments.
  ☆29Updated last year
• MathBilibili / Bayesian-geographically-weighted-regression
  The code to conduct Bayesian geographically weighted regression
  ☆11Updated 3 years ago
• konstantinklemmer / sxl
  SXL: Spatially explicit learning of geographic processes with auxiliary tasks
  ☆15Updated 4 years ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆117Updated last week
• sustainlab-group / africa_poverty
  ☆120Updated last year
• Monoxido45 / clover
  Conformal Locally Valid interval-Estimates for Regression
  ☆17Updated last year
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 weeks ago
• PaulAlbert31 / SemiSupGrassClover
  Code for the CVPPA 2021 paper: Semi-supervised dry herbage mass estimation using automatic data and synthetic images
  ☆13Updated 3 years ago
• aeon-toolkit / aeon-tutorials
  Tutorials and related talks given by the aeon community
  ☆19Updated 3 months ago
• filipematias23 / cleanRfield
  cleanRfield: This package is a compilation of functions to clean and filter observations from yield monitors or other agricultural spatia…
  ☆41Updated 2 years ago
• Global-Policy-Lab / mosaiks-paper
  Code and data to support our paper
  ☆83Updated 3 years ago
• MarcCoru / crop-type-mapping
  Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
  ☆166Updated last year
• corentin-dfg / Satellite-Image-Time-Series-Datasets
  This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellit…
  ☆310Updated 5 months ago
• jmathur25 / predicting-poverty-replication
  A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty
  ☆96Updated 2 years ago
• lukaskondmann / DENETHOR
  ☆58Updated 2 years ago
• Global-Policy-Lab / hdi_downscaling_mosaiks
  ☆18Updated last month
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆55Updated last year
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆196Updated 2 years ago