rahulrathnakumar

Machine Learning & Industrial Informatics Research @ ASU

Tempe

Pinned Repositories

A339X_RahulFork
Language:TypeScript00
ace
Advanced Cockpit Emulator
Language:TypeScript00
AI-Enabled-ILI-System
Language:Python00
airbus-systems
Language:Rust00
aircraft_rahulFork
The A32NX & A380X Project are community driven open source projects to create free Airbus aircraft in Microsoft Flight Simulator that are as close to reality as possible.
Language:TypeScript00
B-BACN
Language:Jupyter Notebook00
B78XH
B78XH is an open source and free modification of default Boeing 787-10 in Microsoft Flight Simulator.
Language:JavaScript00
Basin-of-Infinity-and-Dimension-of-Henon-Map---Dynamical-System-Analysis
Fortran Implementation to find the fractal dimension of the Basin of Infinity of the Henon Map- Parallelized Using OpenMP
Language:Fortran0 1 00
deep-significance
Enabling easy statistical significance testing for deep neural networks.
Language:Python00
ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Language:Jupyter Notebook10

rahulrathnakumar's Repositories

rahulrathnakumar/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Language:Jupyter Notebook10
rahulrathnakumar/A339X_RahulFork
Language:TypeScript00
rahulrathnakumar/ace
Advanced Cockpit Emulator
Language:TypeScript00
rahulrathnakumar/AI-Enabled-ILI-System
Language:Python00
rahulrathnakumar/airbus-systems
Language:Rust00
rahulrathnakumar/aircraft_rahulFork
The A32NX & A380X Project are community driven open source projects to create free Airbus aircraft in Microsoft Flight Simulator that are as close to reality as possible.
Language:TypeScript00
rahulrathnakumar/B-BACN
Language:Jupyter Notebook00
rahulrathnakumar/B78XH
B78XH is an open source and free modification of default Boeing 787-10 in Microsoft Flight Simulator.
Language:JavaScript00
rahulrathnakumar/Basin-of-Infinity-and-Dimension-of-Henon-Map---Dynamical-System-Analysis
Fortran Implementation to find the fractal dimension of the Basin of Infinity of the Henon Map- Parallelized Using OpenMP
Language:Fortran0 1 00
rahulrathnakumar/deep-significance
Enabling easy statistical significance testing for deep neural networks.
Language:Python00
rahulrathnakumar/DesignOptimization2021Fall
Course repo for MAE598/494 2021 Fall
Language:HTML00
rahulrathnakumar/Enhanced-Cloudscapes
A freeware volumetric cloud replacement add-on for X-Plane 11
rahulrathnakumar/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Language:Python
rahulrathnakumar/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
rahulrathnakumar/keras-rcnn
Keras package for region-based convolutional neural networks (RCNNs)
Language:Python
rahulrathnakumar/labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
Language:Python
rahulrathnakumar/memray
Memray is a memory profiler for Python
rahulrathnakumar/MLIC-KD-WSD
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
Language:C++
rahulrathnakumar/OpenXR-Toolkit
A collection of useful features to customize and improve existing OpenXR applications.
Language:C++0 0
rahulrathnakumar/Poisson-2D
Solution to 2D Poisson equation using Parallel Jacobi Iterations
Language:Fortran1
rahulrathnakumar/PRML-Solution-Manual
My Own Solution Manual of PRML
rahulrathnakumar/psxt-parked-updates
Repository for PSXT Learner Airports (aka "parked_updates" XML files)
rahulrathnakumar/python-metar
a python package that parses coded METAR weather reports.
rahulrathnakumar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
1
rahulrathnakumar/SegLoss
A collection of loss functions for medical image segmentation
rahulrathnakumar/Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
rahulrathnakumar/SkyVision-Machine-Learning-Systems-to-Improve-Situational-Awareness-for-General-Aviation
"SkyVision" is an effort by Arizona State University to build machine learning systems designed to improve situational awareness for general aviation pilots. By developing advanced algorithms and processing large amounts of data, we aim to improve pilot situational awareness with actionable insights.
rahulrathnakumar/snorkel
A system for quickly generating training data with weak supervision
Language:Jupyter Notebook
rahulrathnakumar/stereoCameraISP
Language:Python1
rahulrathnakumar/visdom-save
Python script to save and load locally visdom visualisation