A python module of handy tools and functions, mainly for ML and Kaggle - mxbi/mlcrate
Playing with wandb integration. Contribute to syllogismos/wandb-kaggle-data-bowl-2018 development by creating an account on GitHub. Repository for team Natus Vincere . Contribute to Sushanth-Kathirvelu/Home-Credit-Kaggle development by creating an account on GitHub. A python module of handy tools and functions, mainly for ML and Kaggle - mxbi/mlcrate Description of approaches to the Otto Group Product Classification Challenge on Kaggle - Kunstmord/kaggle-otto His script was edited to increase the maximum number of files downloaded and change the quality of the jpgs from 90% to 100%. Following Jeremy’s tip the Chrome extension curlwget was used to download the python script directly to the… #!/usr/bin/env sh Caffe_ROOT=/path/to/caffe mkdir dogvscat DOG_VS_CAT_Folder=/path/to/dogvscat cd $DOG_VS_CAT_Folder ## Download datasets (requires first a login) #https://www.kaggle.com/c/dogs-vs-cats/download/train.zip #https://www.kaggle…
Python pipeline for development and testing of custom Keras models used in sentiment analysis. - klaegera/kaggle-sentiment-analysis Code for solving Kaggle's Passanger Screening Algorithm Challenge sponsored by the Department of Homeland Security. The project ranked 33rd / 518 and can be found on the leaderboard under team Alon Daks. - AlonDaks/tsa-kaggle Playing with wandb integration. Contribute to syllogismos/wandb-kaggle-data-bowl-2018 development by creating an account on GitHub. Repository for team Natus Vincere . Contribute to Sushanth-Kathirvelu/Home-Credit-Kaggle development by creating an account on GitHub. A python module of handy tools and functions, mainly for ML and Kaggle - mxbi/mlcrate Description of approaches to the Otto Group Product Classification Challenge on Kaggle - Kunstmord/kaggle-otto
Keras tutorial for Kaggle 2nd Annual Data Science Bowl - jocicmarko/kaggle-dsb2-keras 14th place solution for the Kaggle Plasticc challenge to classify objects in space. - btrotta/kaggle-plasticc Solution for Zillow’s Home Value Prediction Competition on Kaggle - junjiedong/Zillow-Kaggle Human Protein Atlas Image Classification - Classify subcellular protein patterns in human cells - davidtvs/kaggle-hpaic Homesite Kaggle. Contribute to mpearmain/homesite development by creating an account on GitHub. Using MIP for solving local versions of the Kaggle Santa 2018 problem using Julia. Winning solution for the Kaggle "West Nile Virus" competition (2015) - Cardal/Kaggle_WestNileVirus
This will download a file called kaggle.json to your computer. from google.colab import files files.upload() Move the kaggle.json file into ~/.kaggle , which is where the API client expects your token to be located: the process, so you can focus on writing code, not setting up the environment every time. What you'll learn. How to upload data to Kaggle using the API; (Optional) how to document your dataset and make it public; How to update an existing dataset This Extra Time tutorial will take you through using the command line/terminal (not a Python script!) to search and download Kaggle dataset files. Of course, you Jul 13, 2018 Don't want to download large Kaggle datasets to your local machine and about how to connect Kaggle API on Google Colaboratory and download… Open the file and it should be in this format: Select Python 3 and GPU, click Save. I recently found out that the ~/.kaggle is no longer working, instead Manages the download and extraction of files, as well as caching. Downloaded Extracted files/dirs are stored under extract_dir . The file Resource . If not explicitly specified in Resource , the extraction method will automatically be deduced from downloaded file name. Download data for a given Kaggle competition.
Download small_mask auxilary data into ./data/auxiliary_small like explained here https://www.kaggle.com/c/tgs-salt-identification-challenge/discussion/65500 or use their official repository to generate it: https://github.com/neptune-ml…
