lsqi15 Goto Github PK
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lsqi15's Projects
bootcamp-2019
Materials for 2019 MSiA Bootcamp
customer-churn-predictor-app
A full-stack web application utilizing AWS RDS for cloud backend storage, a fully reproducible random forest model pipeline for inference, CSS, HTML, and Flask App for the user-facing website, and Docker for deployment.
darknet-yolov4
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
data-science--cheat-sheet
Cheat Sheets
gun-violence-data-visualizations
Interactive data visualization of gun violence incidents with D3.js, JavaScript, HTML5, CSS
labelimg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
msia431-hw1-mapreduce
Repository for MSiA-431 Analytics for Big Data HW1: Hadoop MapReduce in Java
msia431-hw2-spark
Repository for MSiA-431 Analytics for Big Data HW2 Spark: PySpark, ML Pipelines, RDD
msia431-hw3-spark
Repository for MSiA-431 Analytics for Big Data HW3 Spark: AWS EMR, PySpark, ML Pipeline
msia490-amazonreviewtextclassification
Classifying Amazon reviews with SVM, Naive Bayes, LSTM, and BERT; Productized the best SVM model for real-time text classification with Flask App.
the-simpsons-characters-recognition-and-detection
Repository for MSiA-432 Deep Learning Course Project: The Simpsons Characters Recognition and Detection. VGG16, VGG 19, Xception, Fast R-CNN
yolov4-deployment-on-video
Leverage DarkNet YOLOv4 model to run object detections on videos using Google Colab
yolov4-training-automation
This repository allows you to train the state-of-the-art YOLOv4 object detection model within a docker container! After providing your labeled dataset and updating training configuration, you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI.
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