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Shubhamai 52

Name

Shubham

Location

IN

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Challenges Entered

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

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No submissions made in this challenge.

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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No submissions made in this challenge.

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graded 153026
graded 153025
graded 153024

3D Seismic Image Interpretation by Machine Learning

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failed 153028
graded 109215
graded 109213

5 Puzzles 21 Days. Can you solve it all?

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No submissions made in this challenge.

5 Puzzles 21 Days. Can you solve it all?

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failed 152727
graded 150974
graded 150854

5 Puzzles 21 Days. Can you solve it all?

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No submissions made in this challenge.

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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graded 109643
graded 108956
graded 108789

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

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No submissions made in this challenge.

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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No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

Latest submissions

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5 Problems 21 Days. Can you solve it all?

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No submissions made in this challenge.

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

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No submissions made in this challenge.

5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

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failed 153028
graded 109215
graded 109213

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No submissions made in this challenge.

Grouping/Sorting players into their respective teams

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No submissions made in this challenge.

5 Problems 15 Days. Can you solve it all?

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graded 73857
graded 72233

5 Problems 15 Days. Can you solve it all?

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Predict Labor Class

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graded 72233

5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

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graded 82062
graded 81854
graded 81847

Real Time Mask Detection

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Venomous Snake Classification

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Solve Sudoku puzzles!

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Detect water bodies from satellite Imagery

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graded 82062
graded 81854
graded 81847

Predict Steering Angle

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No submissions made in this challenge.

Predicting wine quality

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No submissions made in this challenge.

DA Final Project challenges for Monsoon 2020

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No submissions made in this challenge.

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Classifying Emotion from Texts

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No submissions made in this challenge.

Deshuffle the Shuffled Text

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Feature Engineering in Texts

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Predict Text from Sound

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No submissions made in this challenge.

Can you detect Icebergs in low visibility ?

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graded 150974
graded 150854
failed 150645
Gold 0
Silver 0
Bronze 0

Badges


  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020
Participant Rating
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AI Blitz #6

How to deal with draws

7 months ago

Strange, the 9008.jpg of test doesn’t looks like a draw to me. Can you check if this is the right image.

9008

Also, by illegal, do you only mean that in case of checkmate the player still have turn ? I am checking in my code to figure out the root of problem but can you share some samples of this case.

Shubhamai

How to deal with draws

7 months ago

Hi boussif oussama .

I guess you are talking about Win prediction in which case can you please share more examples that have draws in the test set.

I am looking into the second issue and will give updates :slight_smile:

Shubhamai

CHESS TRANSCRIPTION

About white passed pawn

7 months ago

Nope, it’s not a mistake, we are not differentiating between black/white queen in the samples of this challenge, including test ground truth, so just put small q if you find moves which have conversion of pawn to queen. Enjoy :slight_smile:

Food Recognition Challenge

More masks than bboxes?

8 months ago

Hi, thanks for pointing this out! We are looking into this issue and giving updates asap :slight_smile:

Detectron2 Colab Notebook from Data Exploration to Training the Model 🚀

About 1 year ago

Hi Guys, Me Shubhamai, Machine Learning Engineer working extensively in the Deep Learning & Computer Vision field.

I have created a colab notebook for this competition which contains a lot of sections including data exploration/visualizations and making model & training it and things like that.

Here is the link to the colab notebook . I hope that it will help, i would also add more things into that soon.

IMGCOL

No one sample in new 'test_black_white_images-v2.zip'

8 months ago

(post withdrawn by author, will be automatically deleted in 24 hours unless flagged)

Seismic Facies Identification Challenge

[Explainer] Detectron2 & COCO Dataset 🔥 • Web Application & Visualizations • End-to-End Baseline & Tensorflow

11 months ago

So, me Shubhamai and I have come up with these 3 things -

COCO Dataset & using Detectron2, MMDetection

YES! I have converted this dataset into COCO Dataset and which we train Mask-RCNN using Detectron2.

There we go boys - Colab Link

More things will be added so like this post RIGHT NOW :smile:

Web Application & Visualisation

https://seismic-facies-identification.herokuapp.com/

But this time, I found that a great preprocessing pipeline can help to model to find accurate features and increasing overall accuracy. But it kinda isn’t that easy as it looks —

So I made a Web Application based on that which allows you to play/experiment with many of the image preprocessing functions/methods, changing parameters or writing custom image preprocessing functions to experiment.

And it also contains all the visualizations from the colab notebook .

I hope that it will help you in making the perfect preprocessing pipelines :grin:.

End-to-End Baseline & Tensorflow

https://colab.research.google.com/drive/1t1hF_Vs4xIyLGMw_B9l1G6qzLBxLB5eG?usp=sharing

I have made a complete colab notebook from Data Exploration to Submitting Predictions. Here are some of the glimpse of the image visualization section!

And this 3D Plot!


1100×600 196 KB

Tables of Content -

  1. Setting our Workspace :briefcase:
  2. Data Exploration :face_with_monocle:
  3. Image Preprocessing Techniqes :broom:
  4. Creating our Dataset :hammer:
  5. Creating our Model :factory:
  6. Training the Model :steam_locomotive:
  7. Evaluating the model :test_tube:
  8. Testing on test Data :100:
  9. Generate More Data + Some tips & tricks :bulb:

The main libraries covered in this notebook is —

  • Tensorflow 2.0 & Keras
  • Plotly
  • cv2
    and much more…

The model that i am using is UNet, pretty much standard in image segmentation. More is in the colab notebook!

I hope the colab notebook will help you get started in this competition or learning something new :slightly_smiling_face:. If the notebook did help you, make sure to like the post. lol.

https://colab.research.google.com/drive/1t1hF_Vs4xIyLGMw_B9l1G6qzLBxLB5eG?usp=sharing

:red_circle: Please like the topic if this helps in any way possible :slight_smile: . I really appreciate that :smiley:

📝 Explained by the Community | Win 4 x DJI Mavic Drones

About 1 year ago

Hello Everyone!

Me Shubhamai, Machine Learning Engineer, and I am excitedly working on this competition because especially it a kind of 3D problem rather than 2D. Previously I made the complete google colab notebook from data exploration to submission. You can find the notebook here.

But this time, I found that a great preprocessing pipeline can help to model to find accurate features and increasing overall accuracy. But it kinda isn’t that easy as it looks —

So I made a Web Application based on that which allows you to play/experiment with many of the image preprocessing functions/methods, changing parameters or writing custom image preprocessing functions to experiment.

And it also contains all the visualizations from the colab notebook.

I hope that it will help you in making the perfect preprocessing pipelines and make sure you like the post :slightly_smiling_face: . Thanks

https://seismic-facies-identification.herokuapp.com/

📝 Explained by the Community | Win 4 x DJI Mavic Drones

About 1 year ago

Sure! Thanks for the suggestion :slightly_smiling_face:. I will make changes to the color map soon!

📝 Explained by the Community | Win 4 x DJI Mavic Drones

About 1 year ago

Hi Everyone :wave:

I have made a complete colab notebook from Data Exploration to Submitting Predictions. Here are some of the glimpse of the image visualization section!

And this 3D Plot!

Tables of Content -

  1. Setting our Workspace :briefcase:

  2. Data Exploration :face_with_monocle:

  3. Image Preprocessing Techniqes :broom:

  4. Creating our Dataset :hammer:

  5. Creating our Model :factory:

  6. Training the Model :steam_locomotive:

  7. Evaluating the model :test_tube:

  8. Testing on test Data :100:

  9. Generate More Data + Some tips & tricks :bulb:

The main libraries covered in this notebook is —

  • Tensorflow 2.0 & Keras
  • Plotly
  • cv2
    and much more…

The model that i am using is UNet, pretty much standard in image segmentation. More is in the colab notebook!

I hope the colab notebook will help you get started in this competition or learning something new :slightly_smiling_face:. If the notebook did help you, make sure to like the post. lol.

https://colab.research.google.com/drive/1t1hF_Vs4xIyLGMw_B9l1G6qzLBxLB5eG?usp=sharing

More things will be added soon!

By

AI for Good - AI Blitz #3

Explained by the Community | 100 CHF Prize contest 🎉

About 1 year ago

Hi,

Me Shubhamai, i did the LNDST competition and here is the github repo https://github.com/Shubhamai/water-segmentation

I am a Machine Learning Engineer & Instructor with having a lot of experience with Deep Learning, Computer Vision. Currently, I am been working as a Machine learning Teaching Assistant @ Zero to Mastery and Machine Learning Research Assistant @ AIcrowd . I started my journey as an ML Engineer when I discovered Arduino, one of the most popular microcontrollers that can be used anywhere like in hobby projects or in robotics. With programming c++ in Arduino. I started to question myself about how can I increase my software development skills. and that's where I discovered and started learning python & ML, self-taught. I completed many many courses. I then started building many projects and Then I started freelancing on Fiverr. I got so much experience working with companies and their projects, and go many reviews too like — • Amazing developer to work with. Great experience, he went above and beyond to create great code that is clean and efficient. Will work with this developer again! - scifundinc • Shubham is very keen to work on all the aspects mentioned. He takes his time to make the project appealing and accurate. He was very committed to the time limit given and delivered the project before the deadline. His work is commendable and I look forward to take up more projects from him. - swantikalabh and many many more... After that I started learning many more skills, like object detection & segmentation, using Detectron2, FastAI, and many advanced techniques in deep learning including working on many kaggle competitions. But after that, working for endless months, I finally published my first ever online course, The Complete Deep Learning & Computer Vision Course and started my carer as an Instructor. I made this course keeping in mind that this course is what i wanted when i started to learn Deep Learning & Computer Vision. And then, here we are...

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