AIcrowd | Challenges

Blitz : Completed #educational #blitz

AIcrowd

31.2k

392

1884

Notebooks

Community contributed notebooks to help you get started right away

Create Notebook

Filters

Private

Solution with seismiqb and custom postprocessing Validation example of custom postprocessing with short solution explanation for fourth round

HSilksong
· Almost 3 years ago

Open in Colab · View
[Explainer] End-to-end solution [F1-Score (weighted) - 0.76] Solution for 4th round

MaykolCT
· Almost 3 years ago

Open in Colab · View
[Explainer] W&B, Catalyst with EDA, Extra Attributes EDA, Extra Features with wandb API and Catalyst training for rapid experimentation

jyot_makadiya
· Almost 3 years ago

Open in Colab · View
1st place solution Solution of the 2nd stage of Seismic facies identification challenge

ArtemVoronov
· Over 3 years ago

View
[Explainer] Just a simple Video-Notebook - Starter Pack Video version of Just a Simple Notebook

santiactis
· Over 3 years ago

Open in Colab · View
[Explainer] Introduction and General Approach Final Pack! Introduction to this challenge, general approach, my approach, and what I learn from the others

leocd
· Over 3 years ago

Open in Colab · View
3rd place solution image segmentation, DeepLabV3+, efficientnet-b3, Pytorch

Mengdi
· Over 3 years ago

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

Shubhamai
· About 4 years ago

Open in Colab · View
[Explainer] PyTorch starter 0.857 F1-Score on public LB Baseline to take part in the challenge based on pytorch+argus+albumentations+BloodAxe’s toolbelt

ivan_romanov
· About 4 years ago

Open in Colab · View
End to End solution that gives above 80% Accuracy Updated the solution bit with some fine tuning and reshaping. The solution that able to give above 80% accuracy now.

dills
· About 4 years ago

Open in Colab · View
[Explainer] Need extra features? Different input approach? Try Seismic Attributes! Basically it’s a math “Instagram-Snapchat-like” filter for seismic data. There are a lot of Seismic Attributes available.

leocd
· About 4 years ago

Open in Colab · View
[Explainer] Additional Features with the Stationary Wavelet Transform (SWT) Demonstrate the use of the Stationary Wavelet Transform (SWT) to perform a frequency based decomposition (filter banks) on the input time series data

edward_beeching
· About 4 years ago

Open in Colab · View
[Explainer] EDA in details, baseline and advanced models It covers everything that I’ve done so far to produce submissions for this contest: from data exploration to generating predictions

sergeytsimfer
· About 4 years ago

View
[Explainer]: A Noob Code-First Notebook Just some visualizations and a baseline model that we hope can help all those looking to start out.

shraddhaa_mohan
· About 4 years ago

View
[Explainer] - EDA of Seismic data by geographic axis Here’s my EDA notebook on how the seismic data varies by geographic axis, along with some ideas for training.

dipam_chakraborty
· About 4 years ago

Open in Colab · View
[Explainer]: Seismic Facies Identification Starter Pack keras-image-segmentation package to produce a model, train it, and generate the final predictions.

santiactis
· About 4 years ago

Open in Colab · View
Learn To Smell Simple Baseline [Score 0.39] RDKit provides a quick and convenient way to featurize molecules, called "fingerprint".

sunhwan_jo
· Almost 4 years ago

Open in Colab · View
Where to start? 5 ways to learn 2 smell! We have written a notebook that explores 5 ways to attempt this challenge.

shraddhaa_mohan
· Almost 4 years ago

Open in Colab · View
Machine learnig approch with 3 diffferent vectos embedding xgboost , NearestNeighbors, and neural network with 3 different kinds of embedding

pyanishjain
· About 4 years ago

Open in Colab · View
Right fingerprint is all you need Using PubChem along with k-nearest neighbours and more!

lacemaker
· About 4 years ago

Open in Colab · View
Tutorial on how to build a baseline logistic regression model Basics of SMILES, data exploration and evaluating with Jaccard Index/Tanimoto Similarity Score

tomtom
· About 4 years ago

Open in Colab · View
SMILESVec package to train a fully-connected neural network Explains how to use vectors created with the SMILESVec package to train a fully-connected neural network using Tensorflow Keras

casvanboekholdt
· About 4 years ago

Open in Colab · View
FastAI state of art out of box implementation FastAI state of art out of the box, along with other things like discrimative learning rate and learning rate finder

pyanishjain
· About 4 years ago

Open in Colab · View
Olfactory Explainer This is a quick guide exploring what CNNs can do with an image representation of molecules

mmi333
· About 4 years ago

Open in Colab · View
[Getting Started Notebook] CRDIO Challange This is a Baseline Code to get you started with the challenge.

gauransh_k
· Over 2 years ago

Open in Colab · View
[Getting Started Notebook] CAPTCHA Challange This is a Baseline Code to get you started with the challenge.

gauransh_k
· Over 2 years ago

Open in Colab · View
[Getting Started Notebook] JIGSAW Challange This is a Baseline Code to get you started with the challenge.

gauransh_k
· Over 2 years ago

Open in Colab · View