MartinBagaram
I conduct research on OR and ML intersection in particular large scale optimization model and uncertainty induced OR models
University of WashingtonSeattle
Pinned Repositories
apedd1
climate_scenarios
collaborative-filtering-for-yield-prediction
This repository contains my codes for the paper "Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach"
cplex_java
An optimization problem with CPLEX using JAVA (Introduction)
deep-recommender
dengAi
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
flask
This is experimental of how I would create a blog for my fellow grad students using the micro-framework Flask.
forest_gaps
Contains code used for publication of the paper UAV remote sensing. ...
forest_shap
MartinBagaram's Repositories
MartinBagaram/apedd1
MartinBagaram/climate_scenarios
MartinBagaram/collaborative-filtering-for-yield-prediction
This repository contains my codes for the paper "Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach"
MartinBagaram/cplex_java
An optimization problem with CPLEX using JAVA (Introduction)
MartinBagaram/deep-recommender
MartinBagaram/dengAi
MartinBagaram/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
MartinBagaram/flask
This is experimental of how I would create a blog for my fellow grad students using the micro-framework Flask.
MartinBagaram/forest_gaps
Contains code used for publication of the paper UAV remote sensing. ...
MartinBagaram/forest_shap
MartinBagaram/GeoHackOne
This code is a test for geohack week
MartinBagaram/html-form-send-email-via-google-script-without-server
:email: An Example of using an HTML form (e.g: "Contact Us" on a website) to send Email without a Backend Server (using a Google Script)
MartinBagaram/in-class-git-practice
For use in UWSEDS Autumn 2018 Git/Github lectures.
MartinBagaram/lidar_plot_registration
3D visualization of forest inventory plots and probabilistic approach to co-registering a stem map with lidar data
MartinBagaram/Machine-Learning
Notes for machine learning
MartinBagaram/martinbagaram.github.io
Martin B. Bagaram Personal webpage
MartinBagaram/matrix_generator
MartinBagaram/mojombo.github.io
Jekyll source for my personal blog.
MartinBagaram/multistage-saa-harvest-scheduling
MartinBagaram/RecommendationSystem_MF-
This repository is for completing missing values. Only 4 percent of the data is observed and we want to complete 96 percent
MartinBagaram/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
MartinBagaram/sample
MartinBagaram/shortest-route
MartinBagaram/simpleai
simple artificial intelligence utilities
MartinBagaram/SIMULATING-ANNEALING
Simulated annealing (SA) is a probabilistic technique for approximating the global optimum of a given function. Specifically, it is a metaheuristic to approximate global optimization in a large search space
MartinBagaram/sipviz
MartinBagaram/tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
MartinBagaram/tutorial_contents
Geohackweek Tutorial Contents
MartinBagaram/vis
MartinBagaram/WeiShi
this is my geohack repo