mahehu / decmegLinks
2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain
☆18Updated 11 years ago
Alternatives and similar repositories for decmeg
Users that are interested in decmeg are comparing it to the libraries listed below
Sorting:
- ☆41Updated 10 years ago
- Bayesian Neural Networks☆43Updated 10 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 9 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 11 years ago
- Repo for experiments on pyspark and sklearn☆79Updated 11 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 9 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Structured Machine Learning in Python☆46Updated 2 years ago
- ☆68Updated last year
- Multilayer Perceptron Keras wrapper for sklearn☆69Updated 3 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Torch package for metric learning.☆43Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆27Updated 9 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- ☆14Updated 9 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Simple structured learning framework for python☆38Updated 9 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- Yet another tensor library☆23Updated 8 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 11 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago