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:
- ☆42Updated 11 years ago
- Bayesian Neural Networks☆43Updated 11 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 10 years ago
- Structured Machine Learning in Python☆46Updated 2 years ago
- Repo for experiments on pyspark and sklearn☆79Updated 11 years ago
- Yet another tensor library☆23Updated 8 years ago
- ☆14Updated 10 years ago
- Torch package for metric learning.☆43Updated 8 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 11 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 11 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Scikit-learn Tutorial at EuroPython 2014☆43Updated 7 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 9 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 6 years ago
- 🦅Hyperparameter optimization for machine learning pipelines 🦅☆73Updated 5 years ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆27Updated 9 years ago
- Kohonen vector quantizers (SOM, NG, GNG)☆71Updated 7 years ago
- ADENINE: A Data ExploratioN PipelINE☆15Updated 7 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 11 years ago
- ☆68Updated 2 months ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder☆30Updated 8 years ago
- algorithms for mass univariate regression☆13Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Functional ANOVA☆28Updated 11 years ago
- Delay embedding for time series modeling and classification☆18Updated 8 years ago
- Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle☆97Updated 9 years ago
- Collection of scripts for doing common transformations in machine learning☆21Updated 13 years ago