competition_slug stringlengths 3 70 | competition_title stringlengths 6 75 | topic_id int64 294 669k | topic_title stringlengths 8 189 | matched_rank int64 1 16 ⌀ | heuristic_score int64 47 406 | resolved_url stringlengths 54 148 | writeup_text stringlengths 26 36.5k | text_chars int64 26 36.5k | quality_flags listlengths 0 0 |
|---|---|---|---|---|---|---|---|---|---|
20-newsgroups-ciphertext-challenge | 20 Newsgroups Ciphertext Challenge | 77,894 | 1st place solution # c1ph3rh4ck team | 1 | 275 | https://www.kaggle.com/competitions/20-newsgroups-ciphertext-challenge/writeups/c1ph3rh4ck-1st-place-solution-c1ph3rh4ck-team | Hi,
Thank you Phil for organizing this competition, it has been an addictive and intense experience!
We learnt a lot in the process and wanted to share our experience in this post. This post does not cover all technical details and everything we tried, we mostly wanted to tell the story of this competition from our e... | 10,131 | [] |
2019-3rd-ml-month-with-kakr | 2019 3rd ML month with KaKR | 105,639 | 3rd solution | 3 | 305 | https://www.kaggle.com/competitions/2019-3rd-ml-month-with-kakr/writeups/ikhee-shin-3rd-solution | 늦어서 죄송합니다 최근에 정신이 없었습니다ㅠㅠ
우선 kaggle korea 3rd 대회를 주최해주신 분께 정말 감사드립니다!!
매번 kaggle을 해봐야지 해봐야지 하면서 미뤘었는데 (2년전에 가입을 하고 그때부터 미뤘었드라구요ㅋㅋ) 좋은 대회를 열어주셔서 즐겁게 참여할 수 있었습니다.
또 커널과 디스커션에서 아낌없이 자료를 공유해주신 분들 정말 감사합니다!! 정말 많이 배웠습니다.
저는 세원님이 올려주신 커널과 디스커션 자료들을 그대로 따라갔습니다ㅎㅎ
1. kfold
StratifiedKFold 사용해서 4fold, 8fold 둘다 만들어뒀습니다.
... | 1,975 | [] |
2019-3rd-ml-month-with-kakr | 2019 3rd ML month with KaKR | 104,493 | 1st Solution | 1 | 284 | https://www.kaggle.com/competitions/2019-3rd-ml-month-with-kakr/writeups/1st-solution | 먼저 좋은 대회 마련해 주신 KaKR 운영진분들께 감사의 인사를 드리고 싶습니다.
저는 학부생이어서 학기중에는 바빠 이전 대회들은 참여하지 못하고 있었습니다. 우연히 이번 competition과 방학이 겹쳐서 이렇게 참여하게 되었습니다. 이 글을 통하여 저의 solution과 score을 얻기 위해서 어떤 방식들을 시도했는지 공유하겠습니다! 다른 순위권 분들도 좋은 solution과 시행착오들을 공유해 주셔서 다같이 배울 수 있는 글들을 남겨주셨으면 좋겠습니다!
* _Augmentation_ :
(saewon님의 kernel을 참고하였습니다.)
Random... | 2,618 | [] |
2019-3rd-ml-month-with-kakr | 2019 3rd ML month with KaKR | 105,677 | 12th Solution 공유 | 12 | 171 | https://www.kaggle.com/competitions/2019-3rd-ml-month-with-kakr/writeups/taemyung-heo-12th-solution | 12th Solution 공유
----------------
안녕하세요. 이전에 딥러닝에 대해 공부하긴 했지만 실제 프로젝트를 하거나 문제를 풀어본 건 이번이 처음이었는데요.
대회 참여하면서 많은 분들이 훌륭한 커널을 공개해주신 덕에 실제 이미지 분류 문제를 어떻게 풀어야 하는지 여러가지 테크닉을 많이 배우고 적용해 볼 수 있었습니다.
좋은 기회를 마련해주신 캐글 코리아 운영진에게 진심으로 감사드립니다.
저는 최종 스코어 프라이빗 리더보드 기준으로 0.95491이 나왔고 순위는 12위를 했는데요.
솔루션 공유를 위해 커널을 다시 재현해보니 0.95565로 최... | 1,837 | [] |
3d-object-detection-for-autonomous-vehicles | Lyft 3D Object Detection for Autonomous Vehicles | 123,004 | 2nd Place Solution Summary (Private: 0.202 / Public: 0.205) | 2 | 350 | https://www.kaggle.com/competitions/3d-object-detection-for-autonomous-vehicles/writeups/kl-2nd-place-solution-summary-private-0-202-public | Before I describe my solution (which I will only summarize verbally), I'd like to thank the organizers and hosts for this interesting, well-organized competition which came with a rich, multi-data dataset that provided multiple solution avenues. And of course, I'd also like to thank the competitors for contributing to ... | 8,138 | [] |
3d-object-detection-for-autonomous-vehicles | Lyft 3D Object Detection for Autonomous Vehicles | 117,269 | 3rd place solution [0.182 Private LB] | 3 | 313 | https://www.kaggle.com/competitions/3d-object-detection-for-autonomous-vehicles/writeups/yukke42-3rd-place-solution-0-182-private-lb | ##### 3rd place solution [0.182 Private LB] — Lyft 3D Object Detection for Autonomous Vehicles
Thanks to organizers and Kaggle for this competition!
Congratulations to all winners!
Here is my solution:
### Dataset & Pre-processing
* No external data and only point-cloud of this competition
* Animals and emerge... | 7,842 | [] |
3d-object-detection-for-autonomous-vehicles | Lyft 3D Object Detection for Autonomous Vehicles | 122,820 | 1st place solution (0.220 public LB) | 1 | 303 | https://www.kaggle.com/competitions/3d-object-detection-for-autonomous-vehicles/writeups/wenjing-1st-place-solution-0-220-public-lb | Hi, the post may be a little late. Thanks to organizers and congratulations to all!
Background
----------
For the record, I want to state that I am really new to Kaggle and actually really new to machine learning. I only started to work on machine learning 9 month ago. My background is in 3D Computer Graphics so I lo... | 5,344 | [] |
3d-object-detection-for-autonomous-vehicles | Lyft 3D Object Detection for Autonomous Vehicles | 117,809 | 26th Place Solution Summary [0.078 Private LB] | null | 180 | https://www.kaggle.com/competitions/3d-object-detection-for-autonomous-vehicles/writeups/lost-in-translation-26th-place-solution-summary-0- | Congrats + Thanks
-----------------
Congrats to all the winners!
Thanks to the competition hosts for a very interesting and challenging competition.
Big thanks to [@rishabhiitbhu](https://www.kaggle.com/rishabhiitbhu) for all his sharing in the forums and kernels throughout the competition and everyone else who cont... | 3,284 | [] |
3d-object-detection-for-autonomous-vehicles | Lyft 3D Object Detection for Autonomous Vehicles | 117,560 | 19th place solution with code | null | 141 | https://www.kaggle.com/competitions/3d-object-detection-for-autonomous-vehicles/writeups/19th-place-solution-with-code | ##### 19th place solution with code — Lyft 3D Object Detection for Autonomous Vehicles
Hey guys,
First of all, I'd like to thank the organizers for this awesome challenge. This was not a typical computer vision competition that's for sure and I spent a good amount of time just to understand the problem and the data. ... | 3,016 | [] |
3d-object-detection-for-autonomous-vehicles | Lyft 3D Object Detection for Autonomous Vehicles | 119,220 | 22th place solution | null | 127 | https://www.kaggle.com/competitions/3d-object-detection-for-autonomous-vehicles/writeups/toshi-k-22th-place-solution | ##### 22th place solution — Lyft 3D Object Detection for Autonomous Vehicles
Author
3 Comments
----------
Hotness
[](https://www.kaggle.com/oarphme)
Ah, these are RGB images in the BEV domain? cool idea using color for height. I feel PointPillars is effective in part because it maintains some of the x-y shape vari... | 1,144 | [] |
AI4Code | Google AI4Code – Understand Code in Python Notebooks | 367,600 | 3rd Place Solution | 3 | 340 | https://www.kaggle.com/competitions/AI4Code/writeups/yufuin-3rd-place-solution | ##### 3rd Place Solution — Google AI4Code – Understand Code in Python Notebooks
Overview
--------
**Main Features**
1) The cosine-similarity based classification model to predict which consecutive two code cells the given markdown cell should be placed between.
2) Postprocessing to bridge the gap between the predic... | 8,309 | [] |
AI4Code | Google AI4Code – Understand Code in Python Notebooks | 360,501 | 1st Place Solution | 1 | 319 | https://www.kaggle.com/competitions/AI4Code/writeups/hyd-1st-place-solution | ##### 1st Place Solution — Google AI4Code – Understand Code in Python Notebooks
**Overview**
I used single list-wise deberta-v3-large trained on all competition data. Input text is cells separated with [SEP] and [CLS] tokens.
**Code**
* training code: [https://github.com/hydantess/2022-Google-AI4Code-1st-Place-So... | 7,123 | [] |
AI4Code | Google AI4Code – Understand Code in Python Notebooks | 343,659 | 2nd place solution | 2 | 309 | https://www.kaggle.com/competitions/AI4Code/writeups/dmytro-poplavskiy-2nd-place-solution | The solution is based on the bi-encoder or poly-encoder like approach, when every cell is individually processed by the codebert, with the code/md interaction modelled with the pair of parallel TransformerDecoderLayer:
* pairwise, two tower, with backbone sentence-transformers/all-mpnet-base-v2
* continued mlm on training data
* predicting for earch markdown wether a code is just after it (also a fake last code with content 'the end of notebook' added)
* 9 negative selected withn t... | 4,499 | [] |
AI4Code | Google AI4Code – Understand Code in Python Notebooks | 368,500 | 6th place solution | 6 | 268 | https://www.kaggle.com/competitions/AI4Code/writeups/shujun-6th-place-solution | First, thanks to the organizers for hosting a challenging and interesting competition. Next, congrats to all winners! I placed better than I thought I would but unfortunately, I still placed right outside of the prize zone. Luckily, there is still $1000 prize for top 10 teams.
My inference code is released at: [https:... | 4,670 | [] |
AI4Code | Google AI4Code – Understand Code in Python Notebooks | 343,680 | 11th Place Solution: Nested Transformers | 11 | 209 | https://www.kaggle.com/competitions/AI4Code/writeups/typeracers-11th-place-solution-nested-transformers | ##### 11th Place Solution: Nested Transformers — Google AI4Code – Understand Code in Python Notebooks
Overview
--------
We called our network architecture "Nested Transformers", since it contains two levels of transformers:
* Cell transformer: A transformer encoder to encode cell tokens, this can be a typical tran... | 12,742 | [] |
AI4Code | Google AI4Code – Understand Code in Python Notebooks | 368,190 | 9th Place Solution | 9 | 200 | https://www.kaggle.com/competitions/AI4Code/writeups/ogy-9th-place-solution | ##### 9th Place Solution — Google AI4Code – Understand Code in Python Notebooks
**Overview**
------------
The final submission of us is a blend of three models with same architecture and different training data. Three models share the same pipline. We applied a two stage method for the competition.
1. Training a b... | 3,626 | [] |
ChessRatings2 | Deloitte/FIDE Chess Rating Challenge | 575 | Follow-up Solution Set | null | 85 | https://www.kaggle.com/competitions/ChessRatings2/discussion/575 | [](https://www.kaggle.com/jeffsonas)
Jeff Sonas · Featured Prediction Competition · 15 years ago
This contest, sponsored by professional services firm Deloitte, will find the most accurate system to predict chess outcomes, and FIDE will also bring a top finisher to Athens to present their system
Will Adams · Featured Prediction Competition · 14 years ago
Predict if a car purchased at auction is a lemon
Don't Get Kicked!
-----------------
### Solution
Hey guys,
it would be great if you could upload the... | 464 | [] |
MABe-mouse-behavior-detection | MABe Challenge - Social Action Recognition in Mice | 663,026 | 3rd place solution | 3 | 352 | https://www.kaggle.com/competitions/MABe-mouse-behavior-detection/writeups/3rd-place-solution | ##### 3rd place solution — MABe Challenge - Social Action Recognition in Mice
3rd place solution
==================
blend of LSTM and XGBoost
Solution Writeup · 3rd place · Dec 16, 2025
Here is a link to my final script:
[https://www.kaggle.com/code/ymatioun/mabe-blend-ym](https://www.kaggle.com/code/ymatioun/mabe... | 4,114 | [] |
MABe-mouse-behavior-detection | MABe Challenge - Social Action Recognition in Mice | 663,063 | 10th Place Solution (ST-GCN + Transformer) | 10 | 283 | https://www.kaggle.com/competitions/MABe-mouse-behavior-detection/writeups/10th-place-solution-st-gcn-transformer | 10th Place Solution
-------------------
Overview
--------
* ST-GCN + Transformer
* Model all 16 (agent, target) pairs jointly
* Directly optimize competition metric (Macro Soft F1 Loss)
* Ensemble models with different keypoints (4-7) and sequence lengths
Preprocessing
-------------
### FPS Normalization
*... | 3,828 | [] |
MABe-mouse-behavior-detection | MABe Challenge - Social Action Recognition in Mice | 663,108 | 13th Public/12th Private Solution | 13 | 242 | https://www.kaggle.com/competitions/MABe-mouse-behavior-detection/writeups/12th-place-solution | We thank the MABe Challenge organizers for running an engaging competition and for providing detailed, timely clarifications during the early stages.
High‑level idea
---------------
* Formulate the problem as a set of per-action binary tasks, trained separately for each lab
* Train multiple models under diverse c... | 5,662 | [] |
MABe-mouse-behavior-detection | MABe Challenge - Social Action Recognition in Mice | 665,549 | No 1st place solution? | 1 | 187 | https://www.kaggle.com/competitions/MABe-mouse-behavior-detection/discussion/665549 | [](https://www.kaggle.com/organizations/mabe-challenge)
MABe Challenge · Research Code Competition · 3 months ago
Detect unique behaviors from pose estimates of mice.
MABe Challenge - Social Action Recognition in Mice
------------------------------... | 828 | [] |
MusicHackathon | EMI Music Data Science Hackathon - July 21st - 24 hours | 2,242 | Code/approach sharing | null | 212 | https://www.kaggle.com/competitions/MusicHackathon/writeups/vlad-quant-code-approach-sharing | ##### Project Files
31 Comments
-----------
Hotness
[](https://www.kaggle.com/martinoleary)
If anyone's still interested, I've written up a [blog post](http://mewo2.com/kaggle/2012/07/29/emi-music-hackathon---how-i-did-it/)with a description of my methods, and posted code [on GitHub](https://github.com/mewo2/musich... | 18,673 | [] |
PLAsTiCC-2018 | PLAsTiCC Astronomical Classification | 75,011 | 4th Place Solution with Github Repo | 4 | 340 | https://www.kaggle.com/competitions/PLAsTiCC-2018/writeups/ahmeterdem-4th-place-solution-with-github-repo | ##### 4th Place Solution with Github Repo — PLAsTiCC Astronomical Classification
4th Place Solution with Github Repo
===================================
Solution Writeup · 4th place · Dec 18, 2018
First of all, congrats to the prize winners and all medal winners. During the competition, I have used the name Sisyphus... | 4,393 | [] |
PLAsTiCC-2018 | PLAsTiCC Astronomical Classification | 75,061 | 6th Place Solution Summary | 6 | 315 | https://www.kaggle.com/competitions/PLAsTiCC-2018/writeups/stefan-stefanov-6th-place-solution-summary | ##### 6th Place Solution Summary — PLAsTiCC Astronomical Classification
6th place solution is a neural network consisting of 3 components:
1. Meta Encoder - taking as input meta features hostgal photoz, hostgal photoz err, is galactic and summary stats for flux and flux_err as min/max/mean etc.
2. Light Curve En... | 3,531 | [] |
PLAsTiCC-2018 | PLAsTiCC Astronomical Classification | 75,012 | Congrats and 8th place Rapids solution updated! | 8 | 292 | https://www.kaggle.com/competitions/PLAsTiCC-2018/writeups/rapids-ai-congrats-and-8th-place-rapids-solution-u | Update: my solution will be posted [on github](https://github.com/daxiongshu/Rapids_PLAsTiCC_2018). Now you can find a quick end2end demo with rapids. Forgive me that I'm always distracted to other stuff but I promise I'll get the whole solution done eventually!
Big Congrats to the winners and new kaggle masters. I wa... | 8,138 | [] |
PLAsTiCC-2018 | PLAsTiCC Astronomical Classification | 75,316 | 9th place solution | 9 | 260 | https://www.kaggle.com/competitions/PLAsTiCC-2018/writeups/three-musketeers-9th-place-solution | Thanks to everybody for this competition. Besides enjoying it greatly it has been extremely instructive for me. Thanks also to my teammates [Siddhartha](https://www.kaggle.com/meaninglesslives) and [Ynktk](https://www.kaggle.com/naka2ka) for their great spirit, hard work, and ideas. Finally, a big thanks to those who h... | 4,789 | [] |
PLAsTiCC-2018 | PLAsTiCC Astronomical Classification | 75,059 | 2nd-Place Solution Notes | 2 | 235 | https://www.kaggle.com/competitions/PLAsTiCC-2018/writeups/mike-silogram-2nd-place-solution-notes | First, thanks to Kaggle and the PLAsTiCC organizers for presenting such an interesting challenge, and congratulations to all the top teams, especially Kyle with his amazing performance.
I haven't looked at all the other solution write-ups yet but there were clearly a lot of different ways to tackle this problem effect... | 4,156 | [] |
PLAsTiCC-2018 | PLAsTiCC Astronomical Classification | 75,050 | Solution #5 tidbits (revised with code) | null | 229 | https://www.kaggle.com/competitions/PLAsTiCC-2018/discussion/75050 | First, I want to congratulate Kyle for his awesome victory, due to a data driven approach rather than sophisticated machine learning. Congrats also to all who managed to get something out of this complex and very unusual data set. I am still not sure about why there is such gap on the leaderboard, as it seems that cros... | 9,995 | [] |
PLAsTiCC-2018 | PLAsTiCC Astronomical Classification | 75,156 | 21st Solution ~super tough road~ | null | 213 | https://www.kaggle.com/competitions/PLAsTiCC-2018/discussion/75156 | Hi, dear kagglers. First of all, big thanks to Kaggle and LSST teams for holding such a flawless and leakage-free competition. And congratulations to the winners and all Kagglers.
It’s really painful and tough during last few weeks since our score didn’t improve well. Although our team were unable to get gold medal. b... | 4,515 | [] |
RTA | RTA Freeway Travel Time Prediction | 294 | Solution | null | 119 | https://www.kaggle.com/competitions/RTA/writeups/benchmark-solution | ##### Solution — RTA Freeway Travel Time Prediction
For anybody interest, here's the actual solution.
Author
1
10 Comments
-----------
Hotness
[](https://www.kaggle.com/sharmapriti)
Hi Anthony
Can we make subimissions now?And test data will be provided?
[](https://www.kaggle.com/caneldem)
Hi Antony, we can't ... | 2,123 | [] |
End of preview. Expand in Data Studio
No dataset card yet
- Downloads last month
- 25