Pinned Repositories
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.
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.
Drone-Strike-Analysis
This Analysis provides visualizations and statistics for drone strike data gathered by the Bureau of Investigative Journalism.
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.
ML_class_final
Spy-Plane-Project
Plane features and flight patterns were determined to see if a machine learning algorithm could predict whether or not a plane could be classified as a spy ("survelience") plane or "other".
Tello_EDU_Drone_Object_Detection
ctrivino1's Repositories
ctrivino1/ctrivino1
Config files for my GitHub profile.
ctrivino1/ML_class_final
ctrivino1/Tello_EDU_Drone_Object_Detection
ctrivino1/Anomoly_detection
ctrivino1/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.
ctrivino1/Bagel
IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder
ctrivino1/BirdAudio
ctrivino1/Chatbot_with_R
Multimodal AI Chatbot
ctrivino1/computer_vision_models
Models and examples built with TensorFlow
ctrivino1/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)
ctrivino1/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.
ctrivino1/DroneAudioDataset
ctrivino1/flexfilter
Flexible filter for Shiny
ctrivino1/Ken
ctrivino1/Live-Gas-Prices-Montreal
WebScrape-Mongodb-Rshiny
ctrivino1/MarketDial
ctrivino1/Maternal-Mortality-and-Hospitals
ctrivino1/multi_select_NestedMenu
ctrivino1/Multivariate-Cloud-workload-analysis
This repository analyzes the Multivariate workload data of Google Cluster machines.
ctrivino1/myfirstlibrary
testing how to create a library with a function and global variables.
ctrivino1/NeuralProphet-Tutorial
NeuralProphet Time Series Forecasting
ctrivino1/NICE_interview_project
ctrivino1/py-shiny
Shiny for Python
ctrivino1/rapid-ml-prototyping
Code repository for examples of implementing quick machine learning solutions to real-world problems
ctrivino1/ReinforcementLearningCourse
ctrivino1/rl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
ctrivino1/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
ctrivino1/tello-udemy-class
ctrivino1/YLearn
YLearn, a pun of "learn why", is a python package for causal inference
ctrivino1/YoloV3