Notebooks
Community contributed notebooks to help you get started right away-
[Utils] Round 2 Final Model compilation Compilation of the Last Stage's 5 final modelssantiactis· Over 2 years ago
-
Simple Way to Detect Noisy Label with opencv using opencv to enhance your strategy on training and buyingleocd· Over 2 years ago
-
Purchase with anomaly detection Using anomaly scores to select images to buy labelsmoto· Over 2 years ago
-
[Analysis + Utils] Labels co-occurence & Image Similarity Labels co-occurence analysis & Image Similarity using image embeddingssantiactis· Over 2 years ago
-
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· Over 2 years ago
-
[First Baseline + Explainer] Getting Started With ROUND 2 Boiler Plate Code With Abiding (COMPUTE AND PURCHASE BUDGET) For Getting Started With Round 2gaurav_singhal· Over 2 years ago
-
Best baseline in round 1 - score 0.885 Best baseline in round 1 - score 0.885moto· Over 2 years ago
-
[LB 0.880] My Experiment Results + Baseline too I guess 😬 Experiment Resultsleocd· Over 2 years ago
-
[Explainer + Baseline] Get your Baseline right! (+0.84 LB) High Accuracy Baselinesantiactis· Over 2 years ago
-
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 LBgaurav_singhal· Over 2 years ago
-
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 2 years ago
-
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 Leaderboardgaurav_singhal· Over 2 years ago
-
Apply the right Normalisation transformation for your data Apply the right normalisation transformations to different datasets.gaurav_singhal· Over 2 years ago
-
Exploration, Body Paint Color Dominance, Image Transforms Data Exploration, Extracting Body Paint by Color Dominance from image, and Image Transformationleocd· Over 2 years ago
-
Baseline + Exploration: random purchase vs full purchase Exploration: random purchase vs full purchasemoto· Over 2 years ago