Kordel K. France (KordelFranceTech)

KordelFranceTech

User data from Github https://github.com/KordelFranceTech

Location:Dallas, TX

Home Page:kordelfrance.ai

GitHub:@KordelFranceTech

Twitter:@kordelfrance

Kordel K. France's repositories

Academic-DeepNeuralNetsFromScratch

A framework that constructs deep neural networks, autoencoders, logistic regressors, and linear networks without the use of any outside machine learning libraries - all from scratch.

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Research-TrueDepthCameraAsThermometer

A significant research effort showing how the TrueDepth camera on an Apple iPhone can be reprogrammed as a thermometer.

JRTI

JRTI - Just Read the Instructions: A free PDF reader for turning PDFs into audible files

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Olfaction-Vision-Language-Embeddings-Models

The first-ever series of embeddings models for olfaction-vision-language applications in robotics and embodied AI.

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Academic-BattleOfSortingAlgorithms

FranceLab4 is focuses on the analysis of different sorting algorithms under different conditions and different distribution of data. Operationally, FranceLab4 is a software module written in Python that performs automatic data generation, analysis of 4 different sorting algorithms, and logs metrics about the performance of these algorithms over different permutations of data.

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Academic-EuclideanClosestPairs

FranceLab0 compares different algorithms in their ability to find the closest pair of points in a group of 2-dimensional points on a Cartesian coordinate system. FranceLab0 is a software module written in Python 3.7 that facilitates mathematical expressions to find such solutions.

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Academic-PolynomialEvaluator

FranceLab3 focuses on the construction of a multivariate polynomial expression evaluator through the use of a circular singly linked list abstract data type. FranceLab3 is a software module written in Python that performs multiplication, division, addition, and subtraction between polynomial expressions of up to three different terms and evaluates them for integer numbers; it is essentially a polynomial evaluator.

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Academic-PrefixToPostfixConverter

Prefix and postfix expressions are mathematical functions commonly used by calculators to perform calculation. A calculator does not compute the product of the integers 3 and 4 by processing “3 * 4” like a human does. Instead, it reads the expression in order of operations with the operands either preceding the numbers (* 3 4) or succeeding the numbers (3 4 *). FranceLab1 is a software module written in Python that converts given prefix expressions into their corresponding postfix expressions.

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Academic-RecursivePrefixToPostfixConverter

Prefix and postfix expressions are mathematical functions commonly used by calculators to perform calculation. A calculator does not compute the product of the integers 3 and 4 by processing “3 * 4” like a human does. Instead, it reads the expression in order of operations with the operands either preceding the numbers (* 3 4) or succeeding the numbers (3 4 *). FranceLab2 is a software module written in Python that converts given prefix expressions into their corresponding postfix expressions explicitly using recursive algorithms.

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Academic-SupervisedLearningForRoboticRepair

A concept and demonstration for a framework that allows artificial intelligence to repair itself using self-supervised learning.

Diffusion-Graph-Olfaction-Models

Diffusion-graph neural networks for more robust learning in olfaction-vision and olfaction-vision-language datasets.

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Machine-Olfaction-in-AI-and-Robotics

This repository hosts the only survey of its kind that intersects machine olfaction with modern artificial intelligence and robotics.

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Research-ClusterNeuralNetworks

We demonstrate how smaller clusters of neural networks can achieve significant performance advantages over very large deep networks with complex architectures.

Research-RoboticSelfRepairConcept

A concept for self-repair in robotics and artificial intelligence that allow for resiliency in adverse applications.

OlfactionVisionLanguage-Dataset

Code and data for the paper "Diffusion Graph Neural Networks for Robustness in Olfaction Sensors and Datasets in Robotics"

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Academic-AdversarialAutonomy

Planning in an adversarial environment using the CLIPS programming language and PDDL.

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DOSPCoT

Dual Observation Self-paced Policy Co-Training

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EN.605.647.81.SP23.NeuralNetworks.FinalProject

Final Project for the Johns Hopkins University Neural Networks Course under instruction by Dr. Mark Fleischer

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KordelFranceTech

Config files for my GitHub profile.

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