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[Utils] Round 2 Final Model compilation Compilation of the Last Stage's 5 final models

santiactis
· About 1 year ago

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Simple Way to Detect Noisy Label with opencv using opencv to enhance your strategy on training and buying

leocd
· About 1 year ago

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Representation Learning Representation Learning: A Stepping Stone for an Improved Data Label Purchase aka Active Learning

aio
· About 1 year ago

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Purchase with anomaly detection Using anomaly scores to select images to buy labels

moto
· About 1 year ago

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[Analysis + Utils] Labels co-occurence & Image Similarity Labels co-occurence analysis & Image Similarity using image embeddings

santiactis
· About 1 year ago

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Sneak Peek into the image samples from Round 2 dataset. This notebook will help you to visualise images from different classes and combinations of them.

sagar_rathod
· About 1 year ago

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[First Baseline + Explainer] Getting Started With ROUND 2 Boiler Plate Code With Abiding (COMPUTE AND PURCHASE BUDGET) For Getting Started With Round 2

gaurav_singhal
· Over 1 year ago

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Best baseline in round 1 - score 0.885 Best baseline in round 1 - score 0.885

moto
· Over 1 year ago

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Ways to Select Which Data to Purchase - Episode 1 Active Learning Methods

leocd
· Over 1 year ago

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[LB 0.880] My Experiment Results + Baseline too I guess 😬 Experiment Results

leocd
· Over 1 year ago

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[Explainer + Baseline] Get your Baseline right! (+0.84 LB) High Accuracy Baseline

santiactis
· Over 1 year ago

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Explainability: How does your model actually learn? For a given sample, what features contribute to the decision? How to improve your model.

aio
· Over 1 year ago

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A New Baseline With 0.71 accuracy on LB One small change in previous baseline and you can get a new baseline with 0.71 accuracy on LB

gaurav_singhal
· Over 1 year ago

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WANDB - Build better models faster with experiment tracking Track, compare, and visualize ML experiments with a few lines of code. Baseline as an ILLUSTRATION.

gaurav_singhal
· Over 1 year ago

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Create your baseline with 0.4+ on LB (Git Repo and Video) Public Git Repo and Video to create a baseline which will get you 0.44+ accuracy on Leaderboard

gaurav_singhal
· Over 1 year ago

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Apply the right Normalisation transformation for your data Apply the right normalisation transformations to different datasets.

gaurav_singhal
· Over 1 year ago

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Color normalization A way to normalize image colors

moto
· Over 1 year ago

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Exploration, Body Paint Color Dominance, Image Transforms Data Exploration, Extracting Body Paint by Color Dominance from image, and Image Transformation

leocd
· Over 1 year ago

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Baseline + Exploration: random purchase vs full purchase Exploration: random purchase vs full purchase

moto
· Over 1 year ago

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