Pinned Repositories
albion.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Capstone
Car-Classification-Deep-Learning
car-counting-and-speed-estimation-yolo-sort-python
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
cocoapi
COCO API - Dataset @ http://cocodataset.org/
DALL-E-demo
Machine-Learning-Nanodegree-Udacity
Udacity's Machine Learning Nanodegree project files and lecture notes. This repository contains project files and lecture notes for Udacity's Machine Learning Engineer Nanodegree program which I started working on in February 2021.
Object-Detector
Predictive-model-for-stock-price
This model uses neural networks, specifically long short-term memory networks to predict whether the stock prices will go up or down. We tested our model using historical stock data of two different companies (Google and Amazon). Based on the results, we were able to make predictions with slightly higher than 50% accuracy (54% for Google’s stock and 52% for Amazon’s stock).
Albion-Krasniqi's Repositories
Albion-Krasniqi/Car-Classification-Deep-Learning
Albion-Krasniqi/albion.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Albion-Krasniqi/Capstone
Albion-Krasniqi/car-counting-and-speed-estimation-yolo-sort-python
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
Albion-Krasniqi/cocoapi
COCO API - Dataset @ http://cocodataset.org/
Albion-Krasniqi/DALL-E-demo
Albion-Krasniqi/Data-driven-research
Albion-Krasniqi/Machine-Learning-Nanodegree-Udacity
Udacity's Machine Learning Nanodegree project files and lecture notes. This repository contains project files and lecture notes for Udacity's Machine Learning Engineer Nanodegree program which I started working on in February 2021.
Albion-Krasniqi/Object-Detector
Albion-Krasniqi/Predictive-model-for-stock-price
This model uses neural networks, specifically long short-term memory networks to predict whether the stock prices will go up or down. We tested our model using historical stock data of two different companies (Google and Amazon). Based on the results, we were able to make predictions with slightly higher than 50% accuracy (54% for Google’s stock and 52% for Amazon’s stock).
Albion-Krasniqi/dalle_test
Albion-Krasniqi/Fintech
Albion-Krasniqi/GrocerEye
A YOLO Model for Grocery Object Detection
Albion-Krasniqi/grocery_data
Albion-Krasniqi/Intelligent-Checkout-System
Machine Vision Class Project
Albion-Krasniqi/Machine-Learning-
Albion-Krasniqi/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Albion-Krasniqi/NS-125-Research-Proposal
Albion-Krasniqi/Practical-Data-Science-Project
Albion-Krasniqi/R
Albion-Krasniqi/robo_advisor
Define an Amazon Lex bot with a single intent that establishes a conversation about requirements to suggest an investment portfolio for retirement which includes Amazon Lambda function.
Albion-Krasniqi/The-2008-Financial-Crisis-in-US
Albion-Krasniqi/X-Ray-Processing
Albion-Krasniqi/YOLO-project
YOLO projects