gmum / mlls2015Links
Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015
☆16Updated 8 years ago
Alternatives and similar repositories for mlls2015
Users that are interested in mlls2015 are comparing it to the libraries listed below
Sorting:
- Gaussian Process Regression for Python/Numpy☆14Updated 9 years ago
- Active learning for deep learning☆19Updated 6 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- an active learning framework in python☆44Updated 9 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆17Updated 6 years ago
- Wrapper for Keras with support to easy data loading and handling and the creation of staged networks.☆28Updated 4 years ago
- Active Learning☆56Updated 10 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Updated 7 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 8 years ago
- Vector-Space Markov Random Fields☆21Updated 10 years ago
- Work in progress. Read at your own risk.☆14Updated 9 years ago
- MLSS 2016 material.☆22Updated 9 years ago
- ☆25Updated 9 years ago
- Utilities for nolearn.lasagne☆21Updated 7 years ago
- A neural network library based on tensorflow and with true sklearn compatibility.☆11Updated 8 years ago
- Antipasti-TF is a lightweight wrapper around Tensorflow for building convolutional neural networks with complex architechtures.☆16Updated 8 years ago
- Survey of hyperparameter optimization use in NIPS2014☆12Updated 9 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated last year
- Active Learning: Predictors, Recommenders and Labellers☆20Updated 2 years ago
- Online machine learning algorithms (based on OLL C++ library)☆22Updated 7 years ago
- Deep Learning DTU summer school 2015☆22Updated 9 years ago
- Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.☆24Updated 7 years ago
- ☆12Updated 7 years ago
- Gated Recurrent Unit with Low-rank matrix factorization☆34Updated 9 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- Low-rank Highway Networks☆13Updated 9 years ago
- Recommendation models that use binary rather than floating point operations at prediction time.☆21Updated 7 years ago