SMHendryx

fed-recon

Federated reconnaissance mini-ImageNet benchmark and baseline models

mliis

Code for meta-learning initializations for image segmentation

ecosystemAllometry

Python and R scripts that infer an ecosystem-state, species-agnostic allometric equation by generating data from species distributions and using cross-validation to infer the polynomial order and then the function itself of the species-agnostic allometric equation.

hydraulicRedistribution

A small subset of analysis work as part of National Science Foundation project investigating hydraulic redistribution

imageSegmentation-Classification

Python scripts to segment images into superpixels and classify superpixels using Expectation Maximation of Gaussian Mixture Models.

installTensorFlowOnOSX

learning-in-high-dimensions-always-amounts-to-extrapolation

Reproduction and extension of Balestriero et al. 2021 by retraining a CNN on MNIST to predict a range of embedding dimensions.

mhal-detect

M-HalDetect Dataset Release

Point_Cloud_Canopy_Segmentation

Testing algorithms for canopy segmentation from point clouds.

tf-segmentation-trainer

TensorFlow image segmentation training template.

SMHendryx/learning-in-high-dimensions-always-amounts-to-extrapolation

Reproduction and extension of Balestriero et al. 2021 by retraining a CNN on MNIST to predict a range of embedding dimensions.

SMHendryx/tf-segmentation-trainer

TensorFlow image segmentation training template.

SMHendryx/mhal-detect

M-HalDetect Dataset Release

SMHendryx/AssignPointsToExistingClusters

Algorithms implemented in R for assigning training labels to point cloud clusters

SMHendryx/binaryClassifierParameterGridSearch

Python and R code for grid searching through binary classifier parameter settings by cross validation.

SMHendryx/DeepMoji

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

SMHendryx/dotConfigs

back up of some config files

SMHendryx/fed-recon

Federated reconnaissance mini-ImageNet benchmark and baseline models

SMHendryx/file_transfer_scripts

Bash scripts for managing and transferring large video files for machine learning annotation.

SMHendryx/hyperband

Tuning hyperparams fast with Hyperband

SMHendryx/keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

SMHendryx/kMeans.m

kMeans implementation in Matlab

SMHendryx/KMeansTextFile

Runs k-means on a text file using OpenCV k-means implementation in C++.

SMHendryx/Landmarks

Code for plotting and analyzing facial landmarks from facial detection software and annotations.

SMHendryx/mliis

Code for meta-learning initializations for image segmentation

SMHendryx/mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

SMHendryx/models

Models and examples built with TensorFlow

SMHendryx/PlotNeuralNet

Latex code for making neural networks diagrams

SMHendryx/pogrid

Create grids from point clouds

SMHendryx/pytorch-leo

Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization

SMHendryx/quicksort_in_cpp

Quicksort implementation in C++

SMHendryx/quicksort_in_python

An implementation of the quicksort algorithm in Python3 for studying purposes.

SMHendryx/RANSAC.m

RANSAC implementation in Matlab and associated functions.

SMHendryx/robust_vision_semantic_segmentation_code

SMHendryx/robust_vision_semantic_segmentation_paper

SMHendryx/runningDocker

Scripts for starting, making, and running docker images and containers

SMHendryx/SMHendryx.github.io

research website

SMHendryx/TensorFlowScripts

Scripts for installing TensorFlow and using it to train neural networks.

SMHendryx/text2im

Experiments with image generation from text

SMHendryx/xor_tf

Solves the classic xor problem in tensorflow with a simple feedforward neural network.