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vrv

Name

Vrushank व्यास

Organization

AIcrowd

Location

Hyderabad, IN

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Challenges Entered

Machine Learning for detection of early onset of Alzheimers

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Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments

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ASCII-rendered single-player dungeon crawl game

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Self-driving RL on DeepRacer cars - From simulation to real world

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Sample Efficient Reinforcement Learning in Minecraft

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3D Seismic Image Interpretation by Machine Learning

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Airborne Object Tracking Challenge

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5 Puzzles 21 Days. Can you solve it all?

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Robustness and teamwork in a massively multiagent environment

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Play in a realistic insurance market, compete for profit!

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graded 125546

5 Puzzles 21 Days. Can you solve it all?

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5 Puzzles 21 Days. Can you solve it all?

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Multi-Agent Reinforcement Learning on Trains

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A dataset and open-ended challenge for music recommendation research

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A benchmark for image-based food recognition

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Sample-efficient reinforcement learning in Minecraft

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5 Puzzles, 3 Weeks. Can you solve them all? 😉

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Multi-agent RL in game environment. Train your Derklings, creatures with a neural network brain, to fight for you!

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Predicting smell of molecular compounds

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failed 93559

5 Problems 21 Days. Can you solve it all?

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5 Puzzles 21 Days. Can you solve it all?

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Robots that learn to interact with the environment autonomously

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5 Puzzles, 3 Weeks | Can you solve them all?

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5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

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Grouping/Sorting players into their respective teams

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Dog breed classification

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5 Problems 15 Days. Can you solve it all?

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Multi Agent Reinforcement Learning on Trains.

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Recognise Handwritten Digits

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Online News Prediction

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Crowdsourced Map Land Cover Prediction

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5 Problems 15 Days. Can you solve it all?

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failed 128539

Project 2: Road extraction from satellite images

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graded 117665

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A new benchmark for Artificial Intelligence (AI) research in Reinforcement Learning

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Building Missing Maps with Machine Learning

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Latest submissions

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PlantVillage is built on the premise that all knowledge that helps people grow food should be openly accessible to anyone on the planet.

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PlantVillage is built on the premise that all knowledge that helps people grow food should be openly accessible to anyone on the planet.

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5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

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Latest submissions

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Predict Power Consumption

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Predict Wine Quality

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Student Evaluation

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Predict if an online advertisement will be clicked or not

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No submissions made in this challenge.

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Predict viewer reactions from a large-scale video dataset!

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No submissions made in this challenge.

Latest submissions

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IIT-M, Reinforcement Learning, Value Iteration

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Reinforcement Learning, IIT-M, assignment 1

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5 puzzles and 1 week to solve them!

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Classifying Emotion from Texts

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Multi-Agent Reinforcement Learning on Trains

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Gold 0
Silver 0
Bronze 1
Trustable
May 16, 2020

Badges


  • May 16, 2020

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  • May 16, 2020
  • Has filled their profile page
    May 16, 2020
Participant Rating
LazyPanda 0
behja_mrakch 0
semih_catal 0
shivam
jyotish
Participant Rating
dmytro_poplavskiy 0
anssi 217
thomas_cloarec 0
rohitmidha23 237
sanjaypokkali 196
deepesh_grover 0
marcel
yoogottamk
hagrid67 89
ashivani
leocd 0
michael_bordeleau 0
20161302_animesh 116
SHARDA 0
mohanty
Shubhamaicrowd
rdeggau 133
jyotish
LazyPanda 0
behja_mrakch 0
semih_catal 0
shivam
eric_hammy 0
tim_rocktaschel 0
snehananavati
julien12234 79
GauravKr 0
ramkaushik 166
Johnowhitaker 134
victorkras2008 162
junjie_li 290

Seismic Facies Identification Challenge

📘 [Round 4] Community Contribution Prize | 3 x Oculus Quest 2

About 1 month ago

Showcase your skills to the community by sharing a great explainer on the Seismic Facies Identification Challenge and stand a chance to win an Oculus Quest 2!

ezgif.com-gif-maker (1)

You can explain your solution through a (Colab) notebook, a video, an article, or beautiful data visualisation.

What makes your solution unique? We want to know!


:trophy: 3 x Oculus Quest 2’s up for grabs for Top 3 Community Contributors

:alarm_clock: Deadline: 20th November 2021


The purpose of the community explainer notebook is to give AIcrew members a good starting point to the challenge, as well as share unique approaches and findings. Explaining your approach in detail will help the community understand your solution and explore new methods.

Here are some handy pointers that can improve your chances of winning the prize.

  1. Code should be runnable without any errors or issues.
  2. Code must contain comments and explanations of cells where necessary.
  3. Citing external resources related to the topic of the notebook is encouraged!
  4. Creating your own custom video or images will be an added bonus.
  5. Don’t be limited to sharing notebook for solutions that give high scores on the leaderboard. You can also share notebooks that help community members understand the problem better or introduce an interesting concept!

The prizes will be awarded based on the popularity of the contribution in the community and organizer discretion.

House rules

  • There is no constraint on how you present your solution. Let your creative juices flow!
  • You can make multiple submissions, but you’re only eligible for the prize once.
  • The language of the explainer must strictly be in English so that it reaches a wide audience on our platform.
  • We will announce the winners of the Community prize after the completion of Seismic Facies Identification Challenge, Round 4 .

📢 Seismic Facies Id Challenge is back for Round 4! 6 x Oculus Quest 2

About 1 month ago

:clock2: Round 4 of Seismic Facies Identification Challenge is live!

:trophy: Prizes:

3x Oculus Quest 2 for Leaderboard Toppers
3x Oculus Quest 2 for Top Community Contributors

ezgif.com-gif-maker (1)

Participate Now!


Dear all,

The Seismic Facies Identification Challenge has been one of our most popular challenges on AIcrowd.:sparkles:

The challenge witnessed phenomenal participation. Over👥700 participants from :earth_africa:50+ countries came together to solve this key problem in Facies identification using machine learning.

This challenge is also special for us @AIcrowd because we started distributing our signature high-tech prizes like VR headsets, Drones and more with this challenge! :sparkles:

So, we are quite excited to return to the challenge where it all started, and award a whopping 6 Oculus Quest 2’s this time!!


:date: Timeline

The challenge starts 20th September, ends on 20th November, giving you 2 months to claim your own Oculus Quest 2!

You can top the Leaderboard or Contribute a highly voted notebook to the community.

All the best!
Team AIcrowd


PS: Don’t forget to check out these contributions from the community.

Global Wheat Challenge 2021

🎉 Congratulations to the Winners!

About 1 month ago

Hi, thanks for letting us know. Checking!

Airborne Object Tracking Challenge

🏛️ Town Hall: Are you joining?

About 1 month ago

UPDATE: The Town Hall is postponed due to unforeseen events. We will announce the new date for the Town Hall soon.

🏛️ Town Hall: Are you joining?

About 1 month ago

The Airborne Object Tracking Challenge Town Hall features a stellar line up of talks from the top participants of the challenge.

You will hear from them live and discuss various approaches to solving this intriguing challenge!

Don’t miss this event.

:alarm_clock: Friday 17th Sep, 7:30 AM PST


Register here

Format for Extended Abstract [Airborne Object Tracking Workshop]

About 1 month ago

Dear Participants,

The template to submit your extended abstract at the AOT Workshop is available now :point_right: docx / pdf

Let us know if you have any questions/queries!


More information on the Workshop: :memo: Abstract Submissions to the ICCV 2021 Workshop

📝 Abstract Submissions to the ICCV 2021 Workshop

About 2 months ago

Dear Participants,

As you may know, the Airborne Object Tracking Challenge is hosted in association with the ICCV 2021 Workshop on Airborne Object Tracking.

The Workshop takes place on Oct 17th and has a special track for challenge participants to submit extended abstracts. Anyone who participated in the challenge can submit their abstract to the workshop.

:point_right: Find more info & submit your abstract from here

Please Note: While the submission is voluntary, it is required to be eligible for the challenge prize.


:rotating_light: Submission Deadline: September 10, 2021 (11:59 PM PST)

Cheers!

🚨 6 Days to Go: Troubleshooting, Town Hall, and more!

About 2 months ago

Dear Participants,

The Airborne Object Tracking Challenge comes to an end next Tuesday. :sparkles:

We hope you have enjoyed participating in the challenge so far, and are looking forward to the final leaderboard reveal!

If you are facing any issues with your submissions or have any queries related to the challenge, just let us know as a reply to this thread and our team will work with you to help you resolve it. :raised_hands:


:classical_building: Town Hall

The challenge is seeing staggering performances by the AIcrowd Community. As we near the end of the challenge, we were wondering if the community would be interested in joining in for a Community Town Hall - the Town Hall would serve as a platform to bring all the participants together, share insights on the challenge and the problem, and learn from each other!

Would you be interested in attending such a Town Hall?

Would you be interested in attending such a Town Hall?
  • Yes
  • No

0 voters

All the best!

FindCave

Welcome to the MineRL BASALT Challenge: FindCave Task

About 1 month ago

Hi @Taiyo-EG

The code is private for the respective participants and only the owners can access their codes right now.

Sorry for the confusion.

Cheers,
Vrushank

Obstacle Prediction

Submission timed out in obstacle prediction

About 1 month ago

Hi @sean_benhur, it’s evaluated now :raised_hands:

Music Demixing Challenge ISMIR 2021

Town Hall Practice Session

About 2 months ago

Hi @sevagh,

You can watch the recording here: :video_camera: Town Hall Recording | Participant Presentations

📹 Town Hall Recording | Participant Presentations

About 2 months ago

Dear all,

We concluded the Music Demixing Challenge Town Hall recently. A number of community members joined in to discuss approaches to the problem and share their insights with everyone.:sparkles:

Dive right in! :point_down:

Links from the Town Hall
ByteMSS code Link
Kuie team presentation Link
@sevagh’s code Link
Ask questions to @defossez Link
From Kazane team on differentiable MWF package Link

Flatland

📢 [New Challenge] Launching Flatland 3 🚂

About 2 months ago

Dear Flatland Community,

The Flatland Challenge, from its inception in 2019 to the 2020 NeurIPS Challenge and beyond, has seen researchers and enthusiasts from all over the world coming together to solve a key problem in the transportation world: How to efficiently manage dense traffic on complex railway networks?

Today, we are excited to take the next step in solving this problem, and introduce… :drum:

:steam_locomotive:The Flatland 3 Challenge!

The challenge is based on the new, improved Flatland environment, with an aim to make it more real-life.

  • Trains now have a time window within which they are expected to start and reach their destination - they now have schedules.
  • And, not just this, we are working on adding more features to the environment as well!

Check out the welcome note here!

Participate Now!

Flatland Challenge

📢 [New Challenge] Launching Flatland 3 🚂

About 2 months ago

Dear Flatland Community,

The Flatland Challenge, from its inception in 2019 to the 2020 NeurIPS Challenge and beyond, has seen researchers and enthusiasts from all over the world coming together to solve a key problem in the transportation world: How to efficiently manage dense traffic on complex railway networks?

Today, we are excited to take the next step in solving this problem, and introduce… :drum:

:steam_locomotive:The Flatland 3 Challenge!

The challenge is based on the new, improved Flatland environment, with an aim to make it more real-life.

  • Trains now have a time window within which they are expected to start and reach their destination - they now have schedules.
  • And, not just this, we are working on adding more features to the environment as well!

Check out the welcome note here!

Participate Now!

Flatland 3

Flatland AMLD 2021-25b0cb

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