Matthew Sharp's Projects
Codes related to activities on AV including articles, hackathons and discussions.
Tutorials and exercises from Applied Text Mining in Python on Coursera (University of Michigan).
Tutorial about using CatBoost from PyData London 2019.
YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Complete code used during the Data Analysis in Parallel tutorial at PyData London 2019. It includes a notebook actually shown in the tutorial, a notebook for fitting the sentiment model, and input data
DOTA database training with yolo | ๅบไบDOTAๆฐๆฎ้็yolo่ฎญ็ป
Code used for training Faster R-CNN on DOTA
Ananke: A theme for Hugo Sites
Github tutorial
boilerplate code, scripts, modules, data for Introduction to Machine Learning with Python
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Testing different model interpretation techniques
Tutorials and exercises from Natural Language Processing in Tensorflow on Coursera.
demo of scikit-learn pipelines
An Introduction to Python for SAS Users
Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.
A tensorflow re-implementation of RRPN: Arbitrary-Oriented Scene Text Detection via Rotation Proposals.
This repo is for demonstration purposes only.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Source for zzamboni.org - mirrored from https://gitlab.com/zzamboni/zzamboni.org.