Pinned Repositories
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
ensembleObjectDetection
Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
Applied_Text_Mining_in_Python
Tutorials and exercises from Applied Text Mining in Python on Coursera (University of Michigan).
blog
CatBoost
Tutorial about using CatBoost from PyData London 2019.
codeSTACKr
cv_tools
review_object_detection_metrics
Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.
store-sales-model
matt-sharp's Repositories
matt-sharp/Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
matt-sharp/Applied_Text_Mining_in_Python
Tutorials and exercises from Applied Text Mining in Python on Coursera (University of Michigan).
matt-sharp/blog
matt-sharp/CatBoost
Tutorial about using CatBoost from PyData London 2019.
matt-sharp/codeSTACKr
matt-sharp/cv_tools
matt-sharp/review_object_detection_metrics
Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.
matt-sharp/store-sales-model
matt-sharp/darknet
YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
matt-sharp/DataAnalysisParallel-PyData
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
matt-sharp/DOTA-yolov3
DOTA database training with yolo | 基于DOTA数据集的yolo训练
matt-sharp/ensembleObjectDetection
matt-sharp/Faster_RCNN_for_DOTA
Code used for training Faster R-CNN on DOTA
matt-sharp/gohugo-theme-ananke
Ananke: A theme for Hugo Sites
matt-sharp/hello-world
Github tutorial
matt-sharp/lauristonrunners
matt-sharp/machinelearningclassification
boilerplate code, scripts, modules, data for Introduction to Machine Learning with Python
matt-sharp/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
matt-sharp/matt-sharp
matt-sharp/model_interpretation
Testing different model interpretation techniques
matt-sharp/NLP_In_Tensorflow
Tutorials and exercises from Natural Language Processing in Tensorflow on Coursera.
matt-sharp/pipelines
demo of scikit-learn pipelines
matt-sharp/pixiedust-spark-wml
matt-sharp/pydataLDN_2019-maintainable-code-for-data-science
matt-sharp/PythonForSASUsers
An Introduction to Python for SAS Users
matt-sharp/RRPN_Faster-RCNN_Tensorflow
A tensorflow re-implementation of RRPN: Arbitrary-Oriented Scene Text Detection via Rotation Proposals.
matt-sharp/Spoon-Knife
This repo is for demonstration purposes only.
matt-sharp/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
matt-sharp/zzamboni.org
Source for zzamboni.org - mirrored from https://gitlab.com/zzamboni/zzamboni.org.