zygmuntz / kaggle-burn-cpuLinks
Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
☆33Updated 11 years ago
Alternatives and similar repositories for kaggle-burn-cpu
Users that are interested in kaggle-burn-cpu are comparing it to the libraries listed below
Sorting:
- ☆25Updated 9 years ago
- A parallel IRWLS library to solve SVMs and budgeted SVMs☆59Updated 7 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- Code for the Kaggle Marinexplore challenge☆17Updated 12 years ago
- ☆49Updated 7 years ago
- Kaggle competition results☆20Updated 6 years ago
- My second place solution to the Higgs Boson Machine Learning Challenge☆84Updated 10 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- Homesite Kaggle☆30Updated 9 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- ☆58Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge☆97Updated 11 years ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Updated 10 years ago
- Repo for experiments on pyspark and sklearn☆79Updated 11 years ago
- Document or binary file vectorization with Normalized Compression Distance in Python.☆17Updated 9 years ago
- ☆36Updated 10 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 8 years ago
- Large scale matrix factorization on GPU☆19Updated 9 years ago
- Some iPython Notebooks I have created for personal learning☆65Updated last year
- Deep learning made easy☆116Updated 11 years ago
- Introduction tutorials to deep learning with Theano and OpenDeep☆51Updated 9 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆27Updated 9 years ago
- ☆30Updated 9 years ago
- Amazon access control challenge☆25Updated 11 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 8 years ago