Pinned Repositories
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Abnormality-Detection-in-Mammography
AidenFather.github.io
Chris Blog
awesome-semantic-understanding-for-aerial-scene
A curated list of awesome resources for semantic understanding of aerial scene
BBAVectors-Oriented-Object-Detection
[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
FORECASTCovid19Fatalities
ARIMA model to predict Covid19 Fatalities in US
Machine-Learning-Project_Ames-House-Price-Prediction
Road-Crash-Detection
Travel-Sites-Review-web-scraping-Project
US-Cancer-Statistics
AidenFather's Repositories
AidenFather/Machine-Learning-Project_Ames-House-Price-Prediction
AidenFather/US-Cancer-Statistics
AidenFather/awesome-semantic-understanding-for-aerial-scene
A curated list of awesome resources for semantic understanding of aerial scene
AidenFather/present
Code from Jeff Heaton's YouTube videos, articles, and conference presentations.
AidenFather/PyTorchCNN
Implementing CNN in PyTorch with Custom Dataset and Transfer Learning
AidenFather/Deep-Learning-with-GoogleColab
Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.
AidenFather/codes
AidenFather/image_segmentation_japan
This small tutorial is targeted at researchers that have basic machine learning and Python programming skills that want to implement instance image segmentation for further use in their models.
AidenFather/simplified_rbox_cnn
AidenFather/Mask_RCNN
prediction using Mask RCNN
AidenFather/rotated_maskrcnn
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
AidenFather/pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
AidenFather/soft-nms
Object Detection
AidenFather/Faster_RCNN_for_DOTA
Code used for training Faster R-CNN on DOTA