elenaliao1002 Goto Github PK

animl-image-classification-deployment

Implemented the EfficientNet-B3 classifier to retrain the multi-class image classification models resulting in 91% average precision. Planning to deploy the model within the existing AWS infrastructure

animl-ml

Machine Learning resources for camera trap data processing

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

cameratraps

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

elenaliao1002

Config files for my GitHub profile.

elenaliao1002.github.io

enron-email-traffic

flooded-area-coverage-prediction

automated pipeline using Airflow for extraction data from Google Earth Engine API and Google Drive, uploading them to Google Cloud (GCS) and transferring to MongoDB, and finally using Databricks to implement machine learning

hakka

implementation-of-a-b-test

leetcode-sql-summary

log_analytics

This repository contains two Python scripts for log analytics: kafka_producer.py and spark_stream.py. These scripts are designed to work together to process log data using Apache Kafka and Apache Spark.

machine-learning-algorithm-from-scratch

Code to implement Regularization, Naive Bayes, Decision Tree, RandomForest, Gradient boosting, Adaboost, Kmeans, and Matrix Factorization

msds692

MSAN692 Data Acquisition

neural-style-transfer

This report presents a Neural Style Transfer project that focuses on performing style transfer on both images and videos. The process involves using a pre-trained deep neural network, specifically VGG19, to extract style and content information from the input images or frames.

performance-analysis-top-k-frequent-words

recipe-recommendation-app

streamlit-yolo

Display predicted Video, Images and webcam using YOLO models (YOLOv7 & YOLOv8) with Streamlit

tnc-birdsense-workflows

Test extract data from GEE