tonyabracadabra / DeepFeatureSelection--Tensorflow
☆12Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepFeatureSelection--Tensorflow
- Making survival analysis work in TensorFlow☆19Updated 7 years ago
- Kernel k-means and adaptive non-parametric clustering☆9Updated 4 years ago
- Localized Multiple Kernel k-Means Clustering☆28Updated 5 years ago
- Variational Auto-Encoder Matrix Factorisation☆17Updated 7 years ago
- ☆17Updated 5 years ago
- ☆12Updated 5 years ago
- gFM: An Efficient Solver for generalized Factorization Machine☆8Updated 7 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- ☆17Updated 4 years ago
- Python codes for Lasso feature selection☆13Updated 5 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆11Updated 6 years ago
- Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano☆23Updated 10 years ago
- Multilinear Factorization Machines for multi-task multi-view learning☆18Updated 7 years ago
- Deep Neural Network Ensembles for Extreme Classification☆42Updated 5 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Question-Answering NLP model with character-level RNN (TensorFlow).☆16Updated 4 years ago
- Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan☆15Updated 7 years ago
- Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on…☆12Updated 4 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- Implementation of various feature selection methods using TensorFlow library.☆9Updated last year
- Gradient Boosting Enhanced with Step-Wise Feature Augmentation☆16Updated 3 years ago
- Big Topic Model is a fast engine for running large-scale Topic Models.☆22Updated 7 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 8 years ago
- minimum Redundancy Maximum Relevance☆21Updated 12 years ago
- LSTM and Hierarchical Attention Network on DSVM☆41Updated 7 years ago
- ☆25Updated 5 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆9Updated 2 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 7 years ago
- The code for the models described in "Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU" (KDD 2018).☆21Updated 4 years ago