escanillans
MS in Computer Science with skills in machine learning and data science and a passion for data-driven insight.
Broomfield, CO
Pinned Repositories
3D-MiniNet
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
contact_flow_smart_assist_feature
Smart assist feature used for a contact flow when the caller is transferred to an agent.
content_based_recommender_system
A simple example that walks through the basics of building a content-based recommender system.
crawl_extract_data_from_webpages
Crawled and extracted Album music data from metacritic.com and wikipedia.
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
entity_matching
Performed entity matching on Album music data across two different (extracted) tables from metacritic.com and wikipedia.
hierarchical_clustering
My own implementation of the bottom-up hierarchical clustering algorithm.
lane_detection
A project that implements a lane detection algorithm that is robust in illumination problems.
recursive_elimination_by_sensitivity_testing
This repo provides a novel feature selection algorithm called Recursive Feature Elimination by Sensitivity Testing.
escanillans's Repositories
escanillans/entity_matching
Performed entity matching on Album music data across two different (extracted) tables from metacritic.com and wikipedia.
escanillans/lane_detection
A project that implements a lane detection algorithm that is robust in illumination problems.
escanillans/3D-MiniNet
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
escanillans/contact_flow_smart_assist_feature
Smart assist feature used for a contact flow when the caller is transferred to an agent.
escanillans/content_based_recommender_system
A simple example that walks through the basics of building a content-based recommender system.
escanillans/crawl_extract_data_from_webpages
Crawled and extracted Album music data from metacritic.com and wikipedia.
escanillans/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
escanillans/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
escanillans/hierarchical_clustering
My own implementation of the bottom-up hierarchical clustering algorithm.
escanillans/recursive_elimination_by_sensitivity_testing
This repo provides a novel feature selection algorithm called Recursive Feature Elimination by Sensitivity Testing.
escanillans/escanillans.github.io
My personal webiste.
escanillans/eulerian_path_finding_algorithm
This program takes as input a set of k-mers and outputs a single super string that has a k-mer spectrum equal to the set of input k-mers. The algorithm used was the Eulerian path finding algorithm.
escanillans/information_extraction_from_natural_text
A group project where we extracted person names from ESPN NBA articles, labeled, and trained several machine learning models for classification.
escanillans/integration_and_analysis
Goal is to combine two tables then do some data analysis on the integrated table, to infer insights.
escanillans/neural_net_implementation
Built a feedforward neural network from scratch in R.
escanillans/some_scripts
some scripts I use
escanillans/web_scraping
Some code to extract sports data.