Pinned Repositories
active-learning
Bulk-Density-PTF
CNCycling
Carbon and nitrogen environmental trade-offs of winter rye cellulosic biomass in the Chesapeake Watershed
Deep-Learning
h2o-3
Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
models
Models and examples built with TensorFlow
PlantVillage
Collection of scripts for image-based disease recognition in plants using transfer learning
SoilGrids100m
Preliminary code for soil property results
US_ParentMaterial
Code to process NASIS, SSURGO and DEM data to support spatial mapping of "parent material" at 100m resolution
US_SoilGrids100m
Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and clay) and classes (taxonomic great group and particle size in the control section) for the Conterminous U.S.
aramcharan's Repositories
aramcharan/US_SoilGrids100m
Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and clay) and classes (taxonomic great group and particle size in the control section) for the Conterminous U.S.
aramcharan/SoilGrids100m
Preliminary code for soil property results
aramcharan/Deep-Learning
aramcharan/Bulk-Density-PTF
aramcharan/models
Models and examples built with TensorFlow
aramcharan/PlantVillage
Collection of scripts for image-based disease recognition in plants using transfer learning
aramcharan/US_ParentMaterial
Code to process NASIS, SSURGO and DEM data to support spatial mapping of "parent material" at 100m resolution
aramcharan/active-learning
aramcharan/CNCycling
Carbon and nitrogen environmental trade-offs of winter rye cellulosic biomass in the Chesapeake Watershed
aramcharan/h2o-3
Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
aramcharan/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
aramcharan/newhall
A Java implementation of the Newhall model for soil temperature and moisture regime determination. Given a year of monthly averages for precipitation and temperature at a location, the model will simulate the recharge and discharge of moisture through the underlying soil.
aramcharan/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
aramcharan/SoilGrids250m
Global spatial predictions of soil properties and classes at 250 m resolution
aramcharan/StlOpenDataEtl
ETL PIpeline for STL Open Vacancy Project
aramcharan/tensorflow
Computation using data flow graphs for scalable machine learning