ctrivino1 Goto Github PK

anomoly_detection

autonomous-ai-drone-scripts

State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.

bagel

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

birdaudio

chicagocrimedata

classifying-road-signs

A convolutional neural network was used to classify iamges of road signs .

codes_for_articles

computer_vision_models

Models and examples built with TensorFlow

country-codes-and-international-organizations

Complete database of country codes and international organizations

ctrivino1

Config files for my GitHub profile.

databricks-and-pyspark-ml-regression-

This repository takes an example Airbnb dataset and shows how to conduct ML regression models in PySpark/Python in the Databricks cloud environment.

deep-learning-for-hackers

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)

dji-tello-object-detection-segmentation

This Git repo allows to implement the state-of-the-art MaskRCNN algorithm for instance segmentation on the video feed from DJI-Tello drone.

double-machine-learning-python-rshiny

Rshiny application integrated with python to perform Double Machine Learning.

drone-strike-analysis

This Analysis provides visualizations and statistics for drone strike data gathered by the Bureau of Investigative Journalism.

droneaudiodataset

dss-visual-altimeter

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.

freecodecamp_spacy

good2go_lanes

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-target

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.

ken

live-gas-prices-montreal

WebScrape-Mongodb-Rshiny

marketdial

mastering-big-data-analytics-with-pyspark

Mastering Big Data Analytics with PySpark, Published by Packt

ml_class_final

multi_select_nestedmenu

multivariate-cloud-workload-analysis

This repository analyzes the Multivariate workload data of Google Cluster machines.

myfirstlibrary

testing how to create a library with a function and global variables.

neuralprophet-for-r

NeuralProphet for R

neuralprophet-tutorial

NeuralProphet Time Series Forecasting