stober / gmmLinks
Gaussian Mixture Models in Python
☆157Updated 13 years ago
Alternatives and similar repositories for gmm
Users that are interested in gmm are comparing it to the libraries listed below
Sorting:
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆208Updated 8 years ago
- TensorFlow LSTM-autoencoder implementation☆192Updated 7 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆68Updated 6 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 8 years ago
- Spatio-temporal video autoencoder with convolutional LSTMs☆294Updated 9 years ago
- A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.☆307Updated 8 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- ☆89Updated 7 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 8 years ago
- Basic soft-margin kernel SVM implementation in Python☆261Updated 9 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆153Updated 2 years ago
- RBM/DBN implementation with tensorflow attempt project☆80Updated 9 years ago
- Code for paper "How transferable are features in deep neural networks?"☆151Updated 6 years ago
- Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.☆120Updated 7 years ago
- Comparison of Generative Models in Tensorflow☆97Updated 8 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- TensorFlow Tutorial and Examples for beginners☆37Updated 9 years ago
- LSTM-Attention☆75Updated 8 years ago
- Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.☆84Updated 5 years ago
- Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder☆65Updated 11 years ago
- ☆201Updated 8 years ago
- Contractive Auto-Encoders in Numpy☆29Updated 13 years ago
- Unsupervised Learning of Video Representations using LSTMs☆363Updated 7 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Pattern recognition and machine learning toolbox☆39Updated 3 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago