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Challenges Entered
Audio Source Separation using AI
Latest submissions
Identify user photos in the marketplace
Latest submissions
A benchmark for image-based food recognition
Latest submissions
See Allfailed | 172443 | ||
failed | 172394 | ||
failed | 172379 |
ASCII-rendered single-player dungeon crawl game
Latest submissions
Latest submissions
Machine Learning for detection of early onset of Alzheimers
Latest submissions
See Allgraded | 144118 | ||
graded | 144116 | ||
failed | 144113 |
The first, open autonomous racing challenge.
Latest submissions
Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments
Latest submissions
3D Seismic Image Interpretation by Machine Learning
Latest submissions
See Allgraded | 160590 | ||
graded | 159739 | ||
graded | 159738 |
Play in a realistic insurance market, compete for profit!
Latest submissions
Multi-Agent Reinforcement Learning on Trains
Latest submissions
A dataset and open-ended challenge for music recommendation research
Latest submissions
Sample-efficient reinforcement learning in Minecraft
Latest submissions
Project 2: build our own text classifier system, and test its performance.
Latest submissions
Multi-Agent Reinforcement Learning on Trains
Latest submissions
Latest submissions
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BrendaPanda | 0 |
hetp111 | 0 |
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chittal_patel | 0 |
BrendaPanda | 0 |
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AIPIONEERS Flatland 3View
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AIPIONEERS IJCAI 2022 - The Neural MMO ChallengeView
ADDI Alzheimers Detection Challenge
Final leaderboard not visible
Over 3 years agoFinal leaderboard not visible
Over 3 years agoThanks for the info, canβt wait to see the final leaderboard and winnersβ solutions!!
Random variable(s)
Over 3 years agoHello @demarsylvain,
TLDR: My experiments were somewhat different than yours but the conclusion is similar that data contains some noise/random variables which plays a big role in predictions.
I first tried with raw features and minimal pre-processing, then with heavy feature engineering (around 8-10 features were added), and finally experimented with removing unnecessary features. The results were shockingly similar and unintuitive to me. My raw features model performs almost similar to the heavy feature engineered model and minimal features model. The same data with slight changes leads to a drastic difference in log loss (kinda butterfly effect), therefore I think itβs the case of random variable majorly impacting the results. I hope this helps.
That golden feature... were we supposed to have it?
Over 3 years agoHello @michael_bordeleau,
I think the feature is used to extract training labels, for example, it might be possible that the 0-5 scale feature is then scaled accordingly to 0-2 ( Normal, Pre-Alzheimers, post-Alzheimers) with some other data to get labels. It may be one of the reasons, i.e, fear of data leak in this competition. This is still my guess, I am not sure. Also thanks for your contributions, I learned a lot from your posts.
Jyot
Submission time
Over 3 years agoHello @HarryDing, To install any browser, you have to upload the corresponding installer (in Windows VM.exe) from your local computer. I installed firefox this way, also make sure that you upload the complete installer .exe which works offline not the installer that downloads the files from the internet while executing. I spent a lot of time trying to install Firefox, hope this helps.
Submission time
Over 3 years agoHello @HarryDing, this has happened to me once in Windows VM, I found that simply rerun all the cells after reconnecting to that notebook kernel will resolve this issue. Alternatively, you can restart the jupyter-lab instance.
Couldn't decode response from AIcrowd servers
Over 3 years agoThis thread is funny! I think we need a dedicated meme thread for the competition! All the best!!
Common issues for Windows users
Over 3 years agoHello @jyotish, actually I tried that earlier, and it doesnβt work for me. I have to open new prompt and set up proxies. Then after I can install using pip install x
. I found that it is setting temporary proxies for one session I guess.
Common issues for Windows users
Over 3 years agoThanks, @jyotish and @nrad for helping me. It worked and I was able to successfully run the magic command. I am curious that I need to set all 3 proxies every time I open a new Anaconda Prompt. Any suggestion on how I can set universal or global proxies for that?
Common issues for Windows users
Over 3 years agoHello @nrad, first of all, thank you for all your efforts and hard work. I have completed the windows VM setup and got the starter notebook. However I am stuck on the %load_ext aicrowd.magic
cell when tried to run, it generates error like this:
Import Error: failed to initialize: Bad git executable.
To check the issue, I tried running the pip command on the Anaconda prompt and there I saw that the pip was working there too. I have checked my proxy internet which is working fine as I was able to open pypi.python.org
but in jupyter-notebook or anaconda prompt, I couldnβt make the second command work. Also, I tried restarting VM and ensuring that the starter script completes execution. It would be helpful if you can guide me on the issue.
Thanks!
Notebooks
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[Explainer] W&B, Catalyst with EDA, Extra Attributes EDA, Extra Features with wandb API and Catalyst training for rapid experimentationjyot_makadiyaΒ· Almost 3 years ago
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EDA, FE, HPO - All you need (LB: 0.640) Detailed EDA, FE with Class Balancing, Hyper-Parameter Optimization of XGBoost using Optunajyot_makadiyaΒ· Over 3 years ago
π¨ Final Leaderboard (for real) + Community Contribution Prize
Over 3 years agoCongratulations to all the winners!! Hope to see you all in the next competition!!