DrSkippy / Python-DP-Means-Clustering
DP-means K-means clustering algorithms comparison
☆38Updated 9 years ago
Related projects ⓘ
Alternatives and complementary repositories for Python-DP-Means-Clustering
- Collaborative Deep Reinforcement Learning☆32Updated 7 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]☆34Updated 8 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆27Updated 8 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…☆36Updated 8 years ago
- Variational Recurrent Auto Encoder☆16Updated 8 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆41Updated 7 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆32Updated 8 years ago
- ☆8Updated 7 years ago
- Matlab tools (from code.google.com/p/matlabtools/)☆14Updated 10 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆54Updated 8 years ago
- State space modeling with recurrent neural networks☆42Updated 6 years ago
- ☆11Updated 8 years ago
- A Python library for reinforcement learning using Bayesian approaches☆52Updated 9 years ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 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
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 4 years ago
- Active learning for deep learning☆20Updated 6 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 7 years ago
- Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning☆31Updated 6 years ago
- Averaged Stochastic Gradient Descent Classifiers☆41Updated 12 years ago
- RNN Approaches to Integer Sequence Learning--the famous Kaggle competition☆27Updated 7 years ago
- ☆26Updated 8 years ago
- Code for "Bayesian Online Changepoint Detection" (Adams and MacKay, 2007).☆21Updated 12 years ago