Large scale matrix factorization on GPU
☆19Jun 4, 2016Updated 9 years ago
Alternatives and similar repositories for Matrix-Factorization-GPU
Users that are interested in Matrix-Factorization-GPU are comparing it to the libraries listed below
Sorting:
- Based on Thompson sampling with the online bootstrap (Dean Eckles, Maurits Kaptein). http://arxiv.org/abs/1410.4009☆11Dec 30, 2014Updated 11 years ago
- Generative models and other stuff too, maybe, perhaps even probably☆16Dec 12, 2015Updated 10 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆18Mar 22, 2018Updated 7 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Jan 15, 2022Updated 4 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Jan 17, 2015Updated 11 years ago
- An experiment with Thompson sampling and TD(0) on a grid world variant☆17Nov 8, 2013Updated 12 years ago
- a very fast parser for sparse matrix at libsvm format☆10Nov 13, 2017Updated 8 years ago
- Deep recommendation system☆13Dec 28, 2016Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25May 15, 2015Updated 10 years ago
- Biased matrix factorisation using TensorFlow☆19Jun 30, 2016Updated 9 years ago
- ☆10Jul 5, 2016Updated 9 years ago
- Latent Dirichlet Allocation with Gibbs sampling☆16Dec 18, 2013Updated 12 years ago
- A python implementation of Dueling Bandit Gradient Descent (DBGD)☆24Jan 23, 2019Updated 7 years ago
- Code for the DeepScript Submission to ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script☆18Nov 23, 2016Updated 9 years ago
- An asynchronous Redis client for Tornado☆20Nov 6, 2020Updated 5 years ago
- For training very deep networks☆10Jun 12, 2017Updated 8 years ago
- ☆20Aug 8, 2015Updated 10 years ago
- Library to train parallel-aligned sequence data based on Keras☆51Mar 28, 2017Updated 8 years ago
- Implementation of "Controlling Output Length in Neural Encoder-Decoders"☆42Jan 29, 2018Updated 8 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆39Oct 9, 2020Updated 5 years ago
- AROW++ An implementation of the efficient confidence-weighted classifier☆11Jan 9, 2021Updated 5 years ago
- ☆30Mar 20, 2013Updated 13 years ago
- Poincaré Embeddings for Learning Hierarchical Representations (https://arxiv.org/abs/1705.08039) in PyTorch☆15Dec 20, 2017Updated 8 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33May 9, 2016Updated 9 years ago
- Minimal module for computing audio spectrograms☆15Feb 28, 2019Updated 7 years ago
- Now it is exported as an official example☆13Jan 24, 2018Updated 8 years ago
- Markdown based sphinx the documentation generator sample☆36Aug 18, 2013Updated 12 years ago
- Large RDF hierarchies as vector spaces☆20Jun 27, 2014Updated 11 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Feb 1, 2020Updated 6 years ago
- Python + OpenCV Samples☆10Aug 22, 2014Updated 11 years ago
- Learning graph representations using autoencoder☆51Jan 20, 2017Updated 9 years ago
- Theano implementation of the Neural GPU☆15Jan 5, 2016Updated 10 years ago
- ⛹️Code for Learning to Select, Track, and Generate for Data-to-Text (Iso et al; ACL 2019).☆13Sep 19, 2021Updated 4 years ago
- Smoking habits analytics☆10Mar 2, 2016Updated 10 years ago
- Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang☆18Oct 12, 2013Updated 12 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆20Feb 24, 2015Updated 11 years ago
- ☆15Sep 25, 2020Updated 5 years ago
- Handbook for the organizers of PyCon India conference☆10Sep 19, 2021Updated 4 years ago
- ☆10Nov 6, 2021Updated 4 years ago