The roundabout is a git repository hosting server software. It is designed to be a complete alternative to GitHub, GitLab, BitBucket, Gogs/Gitea/Forgejo, and other similar services. It is still in development and not yet ready for production use. As of version 0.3.0 development stage, it supports:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
Welcome to my new website! I've moved from GitHub to a git software I've developed, a roundabout. To go along with this move, I also made a new website, which is powered by a custom static site generator called Ampoule. This will be the generator I will use to write the documentation for all my projects, including the roundabout itself.
Ampoule is a lightweight, simple yet flexible, static site generator written in Python. It uses Jinja2 for templating. This site was generated using Ampoule.
Welcome to my new website! I've moved from GitHub to a git software I've developed, a roundabout. To go along with this move, I also made a new website, which is powered by a custom static site generator called Ampoule. This will be the generator I will use to write the documentation for all my projects, including the roundabout itself.
Just like the original Wordle, you have to guess a 5-letter word in 6 tries and it tells you how many letters are correct and in the right position, how many are correct but in the wrong position, and how many are not in the word at all. The only difference is that this one is played in the terminal. It's a great SSH toy for when you're bored.
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
Echo is a very basic status tracker for web endpoints. I don't recommend you use it. It was made for a programming competition (hackathon) organised by the Automation and Computing faculty of the Politehnica University of Timișoara, in 3 days, alone. I decided to publish it because it might be useful for someone and doesn't hurt me to have it online, and the contest encourages publishing the works.
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
Ampoule is a lightweight, simple yet flexible, static site generator written in Python. It uses Jinja2 for templating. This site was generated using Ampoule.
Echo is a very basic status tracker for web endpoints. I don't recommend you use it. It was made for a programming competition (hackathon) organised by the Automation and Computing faculty of the Politehnica University of Timișoara, in 3 days, alone. I decided to publish it because it might be useful for someone and doesn't hurt me to have it online, and the contest encourages publishing the works.
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
Echo is a very basic status tracker for web endpoints. I don't recommend you use it. It was made for a programming competition (hackathon) organised by the Automation and Computing faculty of the Politehnica University of Timișoara, in 3 days, alone. I decided to publish it because it might be useful for someone and doesn't hurt me to have it online, and the contest encourages publishing the works.
Echo is a very basic status tracker for web endpoints. I don't recommend you use it. It was made for a programming competition (hackathon) organised by the Automation and Computing faculty of the Politehnica University of Timișoara, in 3 days, alone. I decided to publish it because it might be useful for someone and doesn't hurt me to have it online, and the contest encourages publishing the works.
The roundabout is a git repository hosting server software. It is designed to be a complete alternative to GitHub, GitLab, BitBucket, Gogs/Gitea/Forgejo, and other similar services. It is still in development and not yet ready for production use. As of version 0.3.0 development stage, it supports:
Just like the original Wordle, you have to guess a 5-letter word in 6 tries and it tells you how many letters are correct and in the right position, how many are correct but in the wrong position, and how many are not in the word at all. The only difference is that this one is played in the terminal. It's a great SSH toy for when you're bored.
Just like the original Wordle, you have to guess a 5-letter word in 6 tries and it tells you how many letters are correct and in the right position, how many are correct but in the wrong position, and how many are not in the word at all. The only difference is that this one is played in the terminal. It's a great SSH toy for when you're bored.
The roundabout is a git repository hosting server software. It is designed to be a complete alternative to GitHub, GitLab, BitBucket, Gogs/Gitea/Forgejo, and other similar services. It is still in development and not yet ready for production use. As of version 0.3.0 development stage, it supports:
Ampoule is a lightweight, simple yet flexible, static site generator written in Python. It uses Jinja2 for templating. This site was generated using Ampoule.
Ampoule is a lightweight, simple yet flexible, static site generator written in Python. It uses Jinja2 for templating. This site was generated using Ampoule.
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
Ampoule is a lightweight, simple yet flexible, static site generator written in Python. It uses Jinja2 for templating. This site was generated using Ampoule.
Echo is a very basic status tracker for web endpoints. I don't recommend you use it. It was made for a programming competition (hackathon) organised by the Automation and Computing faculty of the Politehnica University of Timișoara, in 3 days, alone. I decided to publish it because it might be useful for someone and doesn't hurt me to have it online, and the contest encourages publishing the works.
The roundabout is a git repository hosting server software. It is designed to be a complete alternative to GitHub, GitLab, BitBucket, Gogs/Gitea/Forgejo, and other similar services. It is still in development and not yet ready for production use. As of version 0.3.0 development stage, it supports:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
Just like the original Wordle, you have to guess a 5-letter word in 6 tries and it tells you how many letters are correct and in the right position, how many are correct but in the wrong position, and how many are not in the word at all. The only difference is that this one is played in the terminal. It's a great SSH toy for when you're bored.
Welcome to my new website! I've moved from GitHub to a git software I've developed, a roundabout. To go along with this move, I also made a new website, which is powered by a custom static site generator called Ampoule. This will be the generator I will use to write the documentation for all my projects, including the roundabout itself.
The roundabout is a git repository hosting server software. It is designed to be a complete alternative to GitHub, GitLab, BitBucket, Gogs/Gitea/Forgejo, and other similar services. It is still in development and not yet ready for production use. As of version 0.3.0 development stage, it supports:
Welcome to my new website! I've moved from GitHub to a git software I've developed, a roundabout. To go along with this move, I also made a new website, which is powered by a custom static site generator called Ampoule. This will be the generator I will use to write the documentation for all my projects, including the roundabout itself.
The roundabout is a git repository hosting server software. It is designed to be a complete alternative to GitHub, GitLab, BitBucket, Gogs/Gitea/Forgejo, and other similar services. It is still in development and not yet ready for production use. As of version 0.3.0 development stage, it supports:
Echo is a very basic status tracker for web endpoints. I don't recommend you use it. It was made for a programming competition (hackathon) organised by the Automation and Computing faculty of the Politehnica University of Timișoara, in 3 days, alone. I decided to publish it because it might be useful for someone and doesn't hurt me to have it online, and the contest encourages publishing the works.
Ampoule is a lightweight, simple yet flexible, static site generator written in Python. It uses Jinja2 for templating. This site was generated using Ampoule.
Echo is a very basic status tracker for web endpoints. I don't recommend you use it. It was made for a programming competition (hackathon) organised by the Automation and Computing faculty of the Politehnica University of Timișoara, in 3 days, alone. I decided to publish it because it might be useful for someone and doesn't hurt me to have it online, and the contest encourages publishing the works.
The roundabout is a git repository hosting server software. It is designed to be a complete alternative to GitHub, GitLab, BitBucket, Gogs/Gitea/Forgejo, and other similar services. It is still in development and not yet ready for production use. As of version 0.3.0 development stage, it supports:
Just like the original Wordle, you have to guess a 5-letter word in 6 tries and it tells you how many letters are correct and in the right position, how many are correct but in the wrong position, and how many are not in the word at all. The only difference is that this one is played in the terminal. It's a great SSH toy for when you're bored.
Just like the original Wordle, you have to guess a 5-letter word in 6 tries and it tells you how many letters are correct and in the right position, how many are correct but in the wrong position, and how many are not in the word at all. The only difference is that this one is played in the terminal. It's a great SSH toy for when you're bored.
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste:
Ampoule is a lightweight, simple yet flexible, static site generator written in Python. It uses Jinja2 for templating. This site was generated using Ampoule.
Echo is a very basic status tracker for web endpoints. I don't recommend you use it. It was made for a programming competition (hackathon) organised by the Automation and Computing faculty of the Politehnica University of Timișoara, in 3 days, alone. I decided to publish it because it might be useful for someone and doesn't hurt me to have it online, and the contest encourages publishing the works.
The roundabout is a git repository hosting server software. It is designed to be a complete alternative to GitHub, GitLab, BitBucket, Gogs/Gitea/Forgejo, and other similar services. It is still in development and not yet ready for production use. As of version 0.3.0 development stage, it supports:
An YOLO model specifically trained to detect waste in images. We collected a custom dataset of waste, classified and annotated it, and trained the model using YOLOv8 on Keras. The model is able to detect the position and class of waste in images. It can separate the following classes of waste: