Pinned Repositories
alpha_prediction
austin_traffic_map
Live map of austin's construction projects. Visualized on google maps.
caffe-DeepRegressionForests
Code for DeepRegressionForests
CFDPython
A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
climochem
data-matters
experimental-design
Just a little personal website with some fun observable js experiments and thoughts.
nanogbcdt
Distinguishing engineered nanomaterials from natural nanomaterials using gradient-boosted classification decision trees
rfecvNano
The development of advection–dispersion particle transport models (PTM) for transport of nanoparticles in porous media has focused on improving model fit by inclusion of empirical parameters. However, this has done little to disentangle the complex behavior of nanoparticles in porous media and to provide mechanistic insights into nanoparticle transport. The most prominent limitation of current PTMs is that they do not consider the influence of physicochemical conditions of the experiments on the transport of nanomaterials. Here, we overcome this limitation by bypassing traditional advection–dispersion PTMs and relating the physicochemical conditions of the experiments to the experimental outcome using ensemble machine-learning methods. We identify a small set of factors that seem to determine the transport of nanoparticles in column experiments by recursive feature elimination with cross validation. .
eli-s-goldberg's Repositories
eli-s-goldberg/alpha_prediction
eli-s-goldberg/nanogbcdt
Distinguishing engineered nanomaterials from natural nanomaterials using gradient-boosted classification decision trees
eli-s-goldberg/austin_traffic_map
Live map of austin's construction projects. Visualized on google maps.
eli-s-goldberg/caffe-DeepRegressionForests
Code for DeepRegressionForests
eli-s-goldberg/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
eli-s-goldberg/data-matters
eli-s-goldberg/experimental-design
Just a little personal website with some fun observable js experiments and thoughts.
eli-s-goldberg/Goldberg_et_al_2016
eli-s-goldberg/generic-csv-2-flare
Easy, automated method to convert csv files to hierarchical json files for use with d3 in the flare format.
eli-s-goldberg/gmplot
Updated gmplot: Plotting data on google maps, the easy (stupid) way.
eli-s-goldberg/goldberg-2017-factors-database
The accompanying database to Goldberg et al., 2017: What factors determine the retention behavior of engineered nanomaterials in saturated porous media?
eli-s-goldberg/goldberg-docs
eli-s-goldberg/imageio
Python library for reading and writing image data
eli-s-goldberg/images_for_work
eli-s-goldberg/Install-Tensorflow-on-Ubuntu-17.10-
Quick install guide for Ubuntu 17.10
eli-s-goldberg/lime
Lime: Explaining the predictions of any machine learning classifier
eli-s-goldberg/machine-learning-examples-by-data-structure
This repository provides (or will provide) examples of how to create neural network models in pytorch for a variety of common data structures. It's a work in progress and employs data derived from Kaggle as a training data.
eli-s-goldberg/metrics-graphics
A library optimized for concise and principled data graphics and layouts.
eli-s-goldberg/nvs-test
eli-s-goldberg/online-cv
My online CV
eli-s-goldberg/ottehr
Modular, Production-Ready, Open-Source EHR
eli-s-goldberg/perf
Performance Benchmarks
eli-s-goldberg/pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
eli-s-goldberg/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
eli-s-goldberg/reveal.js
The HTML Presentation Framework
eli-s-goldberg/Robinhood
Unofficial Documentation of Robinhood Trade's Private API
eli-s-goldberg/steamjoin
Just a bit of code to make it easy to figure out which steam games my friends and I have in common!
eli-s-goldberg/ubuntu-setup-for-dl
eli-s-goldberg/vision
Datasets, Transforms and Models specific to Computer Vision
eli-s-goldberg/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow