Note: This is a Wiki! Please edit the table below, add your name to a team if you see something of your interest, or start a new team if you don’t find anything of your interest. Note, teams are capped at 5, so if a slot is full, start a second team
Note 2: To contact your teammates, please find their username in the table and feel free to start a group message with them via the forums-you can then pick a platform of your choice after the first few messages
Note by Sanyam: I’ve removed @ from usernames since there’s a limit to number of mentions, please just add your username to the table below and don’t use an @.
21st Nov Sprint-5th Dec
|Leader Name||Comp Link||Teammates (Max 5)||Comments/Writeup/Etc|
|init_27||QuickDraw||rghosh vinaykudari bismillahkani aditya1601 uchralganbat||Team Masala Chai/ Image Classification Comp|
|cataluna84||Research (Self-Supervised)||alsombra, shikha, 0tist, Mrityunjay, radiangle||Comparison of Semi-Supervised contrastive objectives|
|j.laute||Cornell Birdcall Identification||saiteja123 Nubbinsonfire apsal rghosh noel priyank7n||Audio classification|
|froo||NFL Big Data Bowl||rajeshkumarkarra||Team Oolong / Tabular Data Competition|
|bam098||Plant Pathology||misza222 vtgvipul crazydiv quincy marshath||Multilabel Classification|
|kevinh||Plant Pathology||Dinesh, Ezno, Sonu, Elijah, MJPansa||(second plant pathology group since bam098’s group is full)|
|ramesh||Plant Pathology||Partha, Sashi, Sudharsan, Vijay, priyank7n||Fab 5|
|pardeep0019||Toxic Comment Classification Challenge||bluesky314 felixark8 sdasari625 goutham794 saharhash||NLP Classification|
|Shivansh||Google Quest Challenge||tlaurent, shikha, shyamsh, priyank7n||Question-Answering NLP|
|Mani Sarkar (neomatrix369)||Tweet Sentiment Extraction||Ramshankar (thedatacrack) , Sahil(smehla),anishjain, Aditya Kumar(pr0fes0r)||NLP: one or more words leading to the “sentiment”|
|shyamsh||Multilingual Toxic Comment Classification||Ved, priyank7n||Multilingual NLP Classification|
|fraserGlasgow||Kuzushiji Recognition||Aditya, Ankit(dhaniyapatta), Yudhishthir, durgaamma2005, akhilgod||Image recognitiona nd classification|
|mdmanurung||PANDA Challenge||Aneesh, Joan, priyank7n,Biswajit_123, igrek||Image Classification. Discord link here|
|David Dirring (romandovega)||Fraud Detection||Isaac.Flath, init_27, ramesh,amiyo, harish3110||Tabular, Classifier|
|Butch Landingin (butchland)||West Nile Virus Prediction||tyoc213, harish3110||Tabular, Classifier, GIS/Spatial, Time Series|
|Neil MacAloney (neilmac)||Airbus Ship Detection||igrek||Image Classification|
As we reach the final chapters of the book in our reading groups, I wanted to propose the next steps and project-based learning.
- If you sign up, you’ll be notified, but ideally please also keep an eye out on this wiki
Starting 21st November:
The goal of these groups is to stimulate smaller groups and force us to learn by applying.
The suggested structure will be:
- Hosting 2 week-long Kaggle Sprints
- Every 15 days, a leader will pick a suggested competition of their choice
- Groups of max 5 members will be formed
- A person can join multiple teams
- The goal will be to land in the Top 10% of the LB in 15 days, using fastai as much as possible or PyTorch when needed
- You’re allowed to copy, fork, translate TF, try any ideas but the deadlines will be 15 days
- At the end of 15 days, every group will present on a demo day-the complete business problem, their solution walkthrough, results and possible improvements, things that didn’t work
Any suggestions are welcomed, ideally, this will serve as a wiki to multiple groups and everyone will self-assign themselves, this will also allow everyone to work on problems that are self-motivating.
There will be 2 calls, one via MLT and the second via fastai discord.
Thanks and Regards,
PS: For any questions, please @ me in this thread, kindly avoid DMs as that might cause an overflow and might delay my responses.