pjaselin / Cubist

Related projects: ⓘ

• ml-clim / drought-prediction
  A Machine Learning Pipeline to Predict Vegetation Health
  ☆31Updated 4 years ago
• jasperroebroek / sklearn-quantile
  ☆18Updated 2 months ago
• SamComber / spacv
  Spatial cross-validation in Python.
  ☆43Updated 4 months ago
• jgomezdans / gp_emulator
  Gaussian Process emulators in Python
  ☆16Updated 5 years ago
• jgrss / geosample
  Spatially balanced sampling with Generalized Random Tessellation Stratified (GRTS)
  ☆18Updated 11 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆29Updated last week
• BigDataWUR / AgML-CY-Bench
  CY-Bench (Crop Yield Benchmark) is a comprehensive dataset and benchmark to forecast crop yields at subnational level. CY-Bench standardi…
  ☆14Updated this week
• pyronear / pyro-risks
  Data science for wildfire risk forecasting and monitoring
  ☆25Updated last month
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆41Updated 2 years ago
• sustainability-lab / polire
  Spatial Interpolation in Python
  ☆12Updated 10 months ago
• AtrCheema / SeqMetrics
  Various errors for tabular/structured/time-series data
  ☆15Updated last week
• jnelson18 / pyquantrf
  Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…
  ☆16Updated last year
• CLIMADA-project / climada_papers
  ☆28Updated last month
• cropmodels / Rwofost
  ☆20Updated last year
• jgrss / mtlchmm
  Multi-temporal land cover maps with a Hidden Markov Model
  ☆14Updated 3 years ago
• ESA-PhiLab / WorldCrops
  Precision agriculture in the embedding space
  ☆21Updated 8 months ago
• ollinevalainen / satellitetools
  Get Sentinel-2 data from Google Earth Engine and compute biophysical parameters using SNAP Biophysical processor code(python implemetatio…
  ☆15Updated 8 months ago
• fonnesbeck / bayes_course_dec_2023
  ☆25Updated this week
• 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…
  ☆40Updated 7 months ago
• konstantinklemmer / sxl
  SXL: Spatially explicit learning of geographic processes with auxiliary tasks
  ☆14Updated 2 years ago
• daleroberts / hdmedians
  High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.
  ☆71Updated 3 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆27Updated 7 months ago
• corneliussenf / phenoBayes
  Bayesian hierarchical models for estimating spatial and temporal patterns in vegetation phenology from Landsat time series
  ☆15Updated 7 years ago
• Geethen / GEEConformal
  Conformal prediction for Google Earth Engine
  ☆18Updated last month
• ESA-PhiLab / eo4ai
  Earth Observation dataset preprocessing tools for Deep Learning
  ☆35Updated 3 weeks ago
• RDCEP / ggcmi
  GGCMI codes
  ☆16Updated 6 years ago
• nunocesarsa / RTM_Inversion
  Repository of the code used the publication titled: "Exploring the impact of noise on hybrid inversion of PROSAIL RTM on Sentinel-2 data
  ☆11Updated 3 years ago
• gyrrei / AGBench
  🛰 🌴 AGBench is a Python library that benchmarks satellite-based aboveground biomass or carbon estimate maps.
  ☆8Updated 2 years ago
• konstantinklemmer / spate-gan
  SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
  ☆20Updated 2 years ago
• runesen / spatio_temporal_causality
  Towards causal inference for spatio-temporal data: conflict and forest loss in Colombia
  ☆20Updated 2 years ago