mnqoliveira

mnqoliveira's Stars

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.3k4787702.4k

• divamgupta/image-segmentation-keras

  Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

  Language:Python2.9k613471.2k

• easystats/performance

  :muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

  Language:R1k2846794

• RILAB/statements

  Successful Job Applications and Grants

  700691128

• dgrtwo/fuzzyjoin

  Join tables together on inexact matching

  Language:R670296961

• eliocamp/ggnewscale

  Multiple Fill, Color and Other Scales in `ggplot2`

  Language:TeX407116718

• cosmic-cortex/mlfz

  An educational machine learning library.

  Language:Python3578319

• Lakens/statistical_inferences

  Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens

  Language:TeX248116380

• ajwdewit/pcse

  Repository for the Python Crop Simulation Environment

  Language:Python1982962129

• Project-AgML/AgML

  AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

  Language:Python185142629

• seananderson/glmm-course

  Workshop exercises on regression, GLMs, mixed-effects models, and GLMMs in R

  Language:R175141865

• mattblackwell/gov2002-book

  An Introduction to Statistical Inference and Regression

  Language:TeX12256123

• magpiemodel/magpie

  Model of Agricultural Production and its Impact on the Environment (MAgPIE) - model code

  Language:GAMS1002221169

• pieterblok/maskal

  Active learning for Mask R-CNN in Detectron2

  Language:Python632155

• KUL-RSDA/AquaCrop

  AquaCrop source code endorsed by FAO

  Language:Fortran568617

• openmodelingfoundation/openmodelingfoundation.github.io

  Website for standards and governance of the Open Modeling Foundation

  Language:HTML522122134

• skeydan/Deep-Learning-and-Scientific-Computing-with-R-torch

  Deep Learning and Scientific Computing with R torch

  Language:TeX5051614

• geirev/Data-Assimilation-Fundamentals

  This repository is a resource complementary to the book: Data Assimilation Fundamental: A unified formulation for state and parameter estimation

  46349

• heaslon/Easy-Leaf-Area

  Language:Python4611335

• aurimasv/z2csl

  Zotero extension for creating Zotero to CSL item type and field mappings.

  Language:JavaScript447129

• ipeaGIT/censobr

  Language:R392437

• davkat1/GreenLight

  A model for simulating the indoor climate and energy use of greenhouses with supplemental lighting

  Language:MATLAB362114

• SticsRPacks/CroptimizR

  Estimate Crop Models' parameters

  Language:R235126

• MaxiKi/data-journals

  820

• agmip/AgML

  AgML aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.

  71040

• Agri-Hub/AAAI23-Eval-AgriRecommendations

  "Evaluating Digital Agriculture Recommendations with Causal Inference". It was accepted and presented in the special track on Artificial Intelligence for Social Impact, AAAI-23

  Language:Jupyter Notebook6202

• tdeswaef/AquaCrop-Identifiability

  Use of identifiability analysis to design field monitoring campaigns for AquaCrop parameter estimation in potato

  Language:R2100

• aaronli7/CEA-web

  The web application of CEA simulator. Using flask+

  Language:Python1300

• sbuis/AgMIP-Calibration-Phase-IV

  Scripts and functions to apply AgMIP Calibration phase IV protocol with CroptimizR and CroPlotR

  Language:R1203

• xusanpangzi/APG

  Mapping Agricultural Plastic Greenhouses Using Google Earth Images and Deep Learning

  Language:Python1101