jfpuget / Kaggle_TrackML
Code for the TrackML competition on Kaggle
☆16Updated 4 years ago
Alternatives and similar repositories for Kaggle_TrackML:
Users that are interested in Kaggle_TrackML are comparing it to the libraries listed below
- Part of our solution to PLAsTiCC Kaggle challenge☆18Updated 6 years ago
- Solution to the Kaggle's competition Google Cloud & YouTube-8M Video Understanding Challenge☆32Updated 7 years ago
- Python utilities for Machine Learning competitions☆32Updated 7 years ago
- Solution to LSST-PLAsTiCC photometric transient classification challenge☆18Updated 6 years ago
- Solution to Kaggle's PLAsTiCC Astronomical Classification Competition☆51Updated 6 years ago
- Mastering PyTorch for Deep Learning, Published by Packt☆14Updated 4 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
- Implement most common semantic segmentation algorithms☆26Updated 7 years ago
- PyTorch NLP tutorial, O'Reilly AI NYC 2018☆25Updated 6 years ago
- 17th place solution in "Google Landmark Retrieval Challenge"☆6Updated 5 years ago
- ☆23Updated 6 years ago
- Python implementation of machine learning metrics☆14Updated 7 years ago
- ☆10Updated 6 years ago
- Code for the Data Science Bowl 2018 competition on Kaggle☆11Updated 6 years ago
- ☆52Updated 6 years ago
- Python library for various computer vision problems with a focus on easy usage.☆18Updated 4 years ago
- This is my code from competition Google Cloud & YouTube-8M Video Understanding Challenge. My solution based on video level features only.☆16Updated 7 years ago
- Blazingly fast capsule networks in 75 lines of pytorch+einops☆26Updated 3 years ago
- ☆10Updated 5 years ago
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19Updated 4 years ago
- Solve ciphers with python☆10Updated 6 years ago
- ☆25Updated 8 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Updated 7 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- High level utility functions for using Rapids on Kaggle Competitions☆28Updated 4 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 7 years ago
- 4th place solution for the Inclusive Images Challenge on Kaggle☆19Updated 6 years ago
- Pandas integration with sklearn☆21Updated 8 years ago