Hey Kagglers,
\nWe’re happy to announce the conclusion of the AI Village Capture the Flag competition! The competition started out as a community competition, and we worked with the hosts from NVIDIA to bring this to life! As so many of you have noted, it was a truly novel competition format for the Kaggle community, and we hope this is merely the first of its kind! It excites us to see how many of you have expressed how much fun you had in this competition.
\nThis competition ended with 3,555 individuals joining the competition and 668 participants making a submission. We had 4,235 submissions from over 70 countries! For 135 users (including 5 users on Top 100 teams!), this was their first competition. Thank you all for your hard work in this competition!
\nThank you to Will and Lucas for not bringing us this engaging problem (and industry) to the Kaggle community, but for being incredibly active within the competition forums and Discord.
\nFor those of you who ended up stuck on the final Crop2 challenge, they’ve posted some hints here.
\nWe're also continually pleased to see how Kaggle Competitions serve as a great medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. Further, in this competition, many can use their machine learning skills to help a great cause like this one.
\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.
\nThe top potential winning teams will be contacted via email to provide their winning solutions. Should we need to move down the leaderboard for any reason, we will do so and continue to make contact with subsequent teams.
\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, and general discussion posts, I'll update this thread to keep track. If you write a paper, thesis, or present at a conference, and would like to share your work, please let us know so we can share with the Kaggle community! Additionally, if you performed any data manipulation, or used a new technique in this competition that you'd like to share to further the industry, please let us know and we'll post it here! That way, should you be looking for takeaways in the future, or if you've just now stumbled across the competition, you have a place to see what surfaced from the work performed.
\nHappy Modeling!
\nKaggle Team
(note, ties are ranked by order of submission)
\nHey Kagglers,
\nWe’re happy to announce the conclusion of the AI Village Capture the Flag competition! The competition started out as a community competition, and we worked with the hosts from NVIDIA to bring this to life! As so many of you have noted, it was a truly novel competition format for the Kaggle community, and we hope this is merely the first of its kind! It excites us to see how many of you have expressed how much fun you had in this competition.
\nThis competition ended with 3,555 individuals joining the competition and 668 participants making a submission. We had 4,235 submissions from over 70 countries! For 135 users (including 5 users on Top 100 teams!), this was their first competition. Thank you all for your hard work in this competition!
\nThank you to Will and Lucas for not bringing us this engaging problem (and industry) to the Kaggle community, but for being incredibly active within the competition forums and Discord.
\nFor those of you who ended up stuck on the final Crop2 challenge, they’ve posted some hints here.
\nWe're also continually pleased to see how Kaggle Competitions serve as a great medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. Further, in this competition, many can use their machine learning skills to help a great cause like this one.
\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.
\nThe top potential winning teams will be contacted via email to provide their winning solutions. Should we need to move down the leaderboard for any reason, we will do so and continue to make contact with subsequent teams.
\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, and general discussion posts, I'll update this thread to keep track. If you write a paper, thesis, or present at a conference, and would like to share your work, please let us know so we can share with the Kaggle community! Additionally, if you performed any data manipulation, or used a new technique in this competition that you'd like to share to further the industry, please let us know and we'll post it here! That way, should you be looking for takeaways in the future, or if you've just now stumbled across the competition, you have a place to see what surfaced from the work performed.
\nHappy Modeling!
\nKaggle Team
(note, ties are ranked by order of submission)
\nCongratulations winners and mostly Joe Lucas and Moohax for writing THE MOST FORKED (copied/adapted) Kaggle Notebook!
\nAlso congrats to the Murderbots that are going to eat plenty of Hot-Dogs.
", "rawMarkdown": "Congratulations winners and mostly Joe Lucas and Moohax for writing THE MOST FORKED (copied/adapted) Kaggle Notebook!\n\nAlso congrats to the Murderbots that are going to eat plenty of Hot-Dogs.", "votes": null } ], "comments": [ { "id": 1942623, "author_name": "mpwolke", "author_url": "", "post_date": "09/16/2022 19:30:24", "content": "Congratulations winners and mostly Joe Lucas and Moohax for writing THE MOST FORKED (copied/adapted) Kaggle Notebook!
\nAlso congrats to the Murderbots that are going to eat plenty of Hot-Dogs.
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1938971": "Hey Kagglers,\n\nWe’re happy to announce the conclusion of the AI Village Capture the Flag competition! The competition started out as a community competition, and we worked with the hosts from NVIDIA to bring this to life! As so many of you have noted, it was a truly novel competition format for the Kaggle community, and we hope this is merely the first of its kind! It excites us to see how many of you have expressed how much fun you had in this competition.\n\nThis competition ended with 3,555 individuals joining the competition and 668 participants making a submission. We had 4,235 submissions from over 70 countries! For 135 users (including 5 users on Top 100 teams!), this was their first competition. Thank you all for your hard work in this competition! \n\nThank you to [Will](https://www.kaggle.com/moohax) and [Lucas](https://www.kaggle.com/lucasjt) for not bringing us this engaging problem (and industry) to the Kaggle community, but for being incredibly active within the competition forums and Discord.\n\nFor those of you who ended up stuck on the final Crop2 challenge, they’ve posted some hints [here](https://www.kaggle.com/competitions/ai-village-ctf/discussion/352007).\n\nWe're also continually pleased to see how Kaggle Competitions serve as a great medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. Further, in this competition, many can use their machine learning skills to help a great cause like this one.\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact [compliance](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nThe top potential winning teams will be contacted via email to provide their winning solutions. Should we need to move down the leaderboard for any reason, we will do so and continue to make contact with subsequent teams. \n\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, and general discussion posts, I'll update this thread to keep track. If you write a paper, thesis, or present at a conference, and would like to share your work, please let us know so we can share with the Kaggle community! Additionally, if you performed any data manipulation, or used a new technique in this competition that you'd like to share to further the industry, please let us know and we'll post it here! That way, should you be looking for takeaways in the future, or if you've just now stumbled across the competition, you have a place to see what surfaced from the work performed.\n\nHappy Modeling!\nKaggle Team\n\n### Competition Write-ups \n*(note, ties are ranked by order of submission)*\n\n- [A Review of the CTF Competition](https://www.kaggle.com/competitions/ai-village-ctf/discussion/351884)\n- [Summary of 21 solutions (LB: 0.894)](https://www.kaggle.com/competitions/ai-village-ctf/discussion/351804)\n- [10th Place Write up](https://www.kaggle.com/competitions/ai-village-ctf/discussion/351840)\n- [CTF writeup](https://www.kaggle.com/competitions/ai-village-ctf/discussion/351834)\n- [HENRYs HOMEWORK marked 0.984 by TEACHER](https://www.kaggle.com/code/robga/henrys-homework-marked-0-984-by-teacher)\n- [CTF journey (19th place)](https://www.kaggle.com/code/mpware/ctf-journey-19th-place?scriptVersionId=105434737)\n- [🦥 D3FC0N - SOLUTIONS [LB 0.894]](https://www.kaggle.com/code/ebouteillon/d3fc0n-solutions-lb-0-894)\n- [SOLUTIONS - D3FC0N CTF - [LB 0.894]](https://www.kaggle.com/code/cdeotte/solutions-d3fc0n-ctf-lb-0-894)\n- [CTF writeup - My learning journey [LB 0.842]](https://www.kaggle.com/code/edumoran/ctf-writeup-my-learning-journey-lb-0-842)\n\n###Other Top Discussions (plenty of memes)\n- [Can anyone explain why this isn't working for HOTTERDOG :)](https://www.kaggle.com/competitions/ai-village-ctf/discussion/344336)\n- [What this competition has turned me into over 48 hours](https://www.kaggle.com/competitions/ai-village-ctf/discussion/344396)\n- [Solve sloth with abs()](https://www.kaggle.com/competitions/ai-village-ctf/discussion/351806)\n- [Welcome to the AI Village Capture The Flag!](https://www.kaggle.com/competitions/ai-village-ctf/discussion/343582)\n- [Competition End](https://www.kaggle.com/competitions/ai-village-ctf/discussion/351801)\n\n\n\n###Top Notebooks\n- [Getting Started](https://www.kaggle.com/code/lucasjt/getting-started)\n- [DEFCON30: Observations on crop2](https://www.kaggle.com/code/tatamikenn/defcon30-observations-on-crop2)", "1942623": "Congratulations winners and mostly Joe Lucas and Moohax for writing THE MOST FORKED (copied/adapted) Kaggle Notebook!\n\nAlso congrats to the Murderbots that are going to eat plenty of Hot-Dogs." }, "source": "meta" }