Jean-François Puget

LibFM_in_Keras. This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

Kaggle. My solution to Web Traffic Predictions competition on Kaggle.

STFT_Transformer. Code for STFT Transformer used in BirdCLEF 2021 competition.

ARC-AGI-Challenge-2024. Jupyter Notebook

Kaggle_Santander_2019. Jupyter Notebook

Tidy-Data. Python code for Hadley Whickham's article on Tidy Data.

Kaggle_Santa_2019. Solution for Kaggle Sant competition https://www.kaggle.com/c/santa-workshop-tour-2019/overview

KaggleDays_Paris_2022. Slides for my presentation

Kaggle_PLAsTiCC. Part of our solution to PLAsTiCC Kaggle challenge

birdclef-2024. Solution to Birdclef 2024 challenge on Kaggle

NVIDIA-PCQM4Mv2. Code of the NVIDIA winning solution to the 2nd OGB-LSC at the NeurIPS 2022 challenge with dataset PCQM4Mv2

Kaggle_TrackML. Code for the TrackML competition on Kaggle

kaggle_santa_21. Solution to Kaggle Santa 2021 Challenge

metrics. Python implementation of machine learning metrics

Kaggle_TGS. Jupyter Notebook

DSB_2018. Code for the Data Science Bowl 2018 competition on Kaggle

p-hacking. Jupyter Notebook

LightGBM. A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

TSP_USA. Jupyter Notebook

WiDS. Jupyter Notebook