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Name: Chris Trivino
Type: User
Name: Chris Trivino
Type: User
State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder
A convolutional neural network was used to classify iamges of road signs .
Models and examples built with TensorFlow
Complete database of country codes and international organizations
Config files for my GitHub profile.
This repository takes an example Airbnb dataset and shows how to conduct ML regression models in PySpark/Python in the Databricks cloud environment.
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
This Git repo allows to implement the state-of-the-art MaskRCNN algorithm for instance segmentation on the video feed from DJI-Tello drone.
Rshiny application integrated with python to perform Double Machine Learning.
This Analysis provides visualizations and statistics for drone strike data gathered by the Bureau of Investigative Journalism.
This repository aims research the ability to use visual cues as an altitude measurement for UAVs, as alternatives to GPS, barometers, or internal navigation systems. This is project has recently been picked up by myself and another Professor. We will update the repo when we have new results.
Good2Go convenience stores were interested in finding the number of lanes on a given road that their convenience stores were located on. My team and I created a convolutional neural network that would allow them to do so.
Intrepid Potash is a company that reached to to Brigham Young University-Idaho's Data Science society. They were interested in finding correlations in their data to see if they improve their production line with any insights that could be found using linear regressions. This repo includes insights that we found with their data.
WebScrape-Mongodb-Rshiny
Mastering Big Data Analytics with PySpark, Published by Packt
This repository analyzes the Multivariate workload data of Google Cluster machines.
testing how to create a library with a function and global variables.
NeuralProphet for R
NeuralProphet Time Series Forecasting
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.