JohannesBuchner / LSST-PLAsTiCC-classification-solutionLinks
Solution to LSST-PLAsTiCC photometric transient classification challenge
☆18Updated 7 years ago
Alternatives and similar repositories for LSST-PLAsTiCC-classification-solution
Users that are interested in LSST-PLAsTiCC-classification-solution are comparing it to the libraries listed below
Sorting:
- Code for the TrackML competition on Kaggle☆16Updated 5 years ago
- Part of our solution to PLAsTiCC Kaggle challenge☆18Updated 7 years ago
- Solution to Kaggle's PLAsTiCC Astronomical Classification Competition☆51Updated 7 years ago
- Python utilities for Machine Learning competitions☆31Updated 8 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- DeepSuperLearner - Python implementation of the deep ensemble algorithm☆135Updated 7 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.☆78Updated 7 years ago
- ☆52Updated 7 years ago
- Run any Jupyter notebook instantly using Kaggle kernels☆63Updated 5 years ago
- 14th place solution for the Kaggle Plasticc challenge to classify objects in space.☆24Updated 7 years ago
- Winning Solution to the Kaggle Days Paris offline competition☆63Updated 7 years ago
- Notebooks☆31Updated 6 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆107Updated 7 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 6 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Telstra Network Disruptions - Predict service faults on Australia's largest telecommunications network☆13Updated 9 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆104Updated 2 weeks ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 8 years ago
- Creating a better validation set when test examples differ from training examples☆102Updated 9 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 6 years ago
- Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline☆81Updated 7 years ago
- Gradient Boosting powered by GPU(NVIDIA CUDA)☆65Updated 5 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 7 years ago
- A python module of handy tools and functions, mainly for ML and Kaggle☆336Updated 4 years ago
- AdaBound optimizer in Keras☆56Updated 5 years ago
- ☆44Updated 6 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 7 years ago
- 28th place solution to Kaggle Santander Competition 2019☆19Updated 6 years ago