ktl014
UCSD MS Candidate in ECE w/ focus in Machine Learning & Data Science, Jules Jaffe Lab, Statistical Visual Computing Lab
University of California, San DiegoLa Jolla, CA
Pinned Repositories
hab-ml
Harmful algae bloom CNN detection model, developed in PyTorch
Airbnb_Recommendations
An Airbnb destination recommendation system (Kaggle competition) to predict a new user's booking destination given their demographics, web session records, and other summary statistics. Coded in Python.
cayman
ROI image and size detection for Cayman Island 2017 data. Coded in Python and used Caffe Framework
eval-student-writing
A scalable, end-to-end ML pipeline system of automated model deployments, designed to deliver a fine-tuned BERT model (NLP) to analyze argumentative writing elements, to an advanced serverless REST API on a cloud Platform (AWS). Developed in Python and used Pytorch Lightning framework.
Fast-Pedestrian-Tracking
Pedestrian detection tracking from autonomous vehicle view using a Faster-RCNN in PyTorch
gps-algorithm
Global positioning using gradient descent, Gauss's and Newton's algorithm
TextSummarizer_tool
Text summarization web application for news articles, developed in React & Python
ktl014's Repositories
ktl014/gps-algorithm
Global positioning using gradient descent, Gauss's and Newton's algorithm
ktl014/Airbnb_Recommendations
An Airbnb destination recommendation system (Kaggle competition) to predict a new user's booking destination given their demographics, web session records, and other summary statistics. Coded in Python.
ktl014/cayman
ROI image and size detection for Cayman Island 2017 data. Coded in Python and used Caffe Framework
ktl014/eval-student-writing
A scalable, end-to-end ML pipeline system of automated model deployments, designed to deliver a fine-tuned BERT model (NLP) to analyze argumentative writing elements, to an advanced serverless REST API on a cloud Platform (AWS). Developed in Python and used Pytorch Lightning framework.
ktl014/Fast-Pedestrian-Tracking
Pedestrian detection tracking from autonomous vehicle view using a Faster-RCNN in PyTorch
ktl014/MeToo
ktl014/mrec
ktl014/TextSummarizer_tool
Text summarization web application for news articles, developed in React & Python
ktl014/dvc
🦉Data Version Control | Git for Data & Models
ktl014/EmployeeTurnoverPrediction
Employee Turnover Classification on Human Resources Kaggle data. Coded in python and used TensorFlow/Sci-Kit Learn frameworks
ktl014/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
ktl014/Im-Caption
Image content understanding, using a CNN-encoder, RNN-decoder in PyTorch
ktl014/image_captioning
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
ktl014/jenkins-python-test
Project to test python app CI/CD with Jenkins
ktl014/ktl014.github.io
Kevin Tran Vu Le Project Website
ktl014/label-studio_0.7.6
Label Studio is a multi-type data labeling and annotation tool with standardized output format
ktl014/mpl
Dataset augmentation for improving biological specimen classification. Coded in Python and used Caffe framework (Scripps Institution Oceanography Internship Summer 17)
ktl014/NYC_Taxi_Saver
Using Machine Learning techniques to make prediction on the fare amount (inclusive of tolls) for a taxi ride in New York City given the pickup and dropoff locations
ktl014/places365
The Places365-CNNs
ktl014/plankton_wi17
ktl014/SalaryPredictionPortfolio
Salary Prediction Project (Python)
ktl014/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
ktl014/spcvisualizer
Real-time viewer for SPCBench Camera system data collection
ktl014/test-cookie-cutter
ktl014/test-tube
Python library to easily log, track machine learning code, experiments and parallelize hyperparameter search
ktl014/test_cookie_cutter_v2
ktl014/urban_sound_recognition
Audio recognition in urban settings
ktl014/vision
Datasets, Transforms and Models specific to Computer Vision
ktl014/ZillowHousePrediction
Building a model to improve the Zestimate residual error.