stober / gmmLinks
Gaussian Mixture Models in Python
☆154Updated 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.☆149Updated 7 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 8 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Spatio-temporal video autoencoder with convolutional LSTMs☆294Updated 9 years ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆209Updated 8 years ago
- ☆89Updated 7 years ago
- TensorFlow LSTM-autoencoder implementation☆191Updated 7 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆154Updated 2 years ago
- TensorFlow Tutorial and Examples for beginners☆37Updated 8 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆74Updated 13 years ago
- Comparison of Generative Models in Tensorflow☆97Updated 7 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆189Updated 10 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 8 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆68Updated 6 years ago
- Pattern recognition and machine learning toolbox☆39Updated 3 years ago
- Unsupervised Learning of Video Representations using LSTMs☆359Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- Contractive Auto-Encoders in Numpy☆29Updated 12 years ago
- A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.☆306Updated 7 years ago
- LSTM-Attention☆74Updated 7 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated last year
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- ☆76Updated 8 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- Fully differentiable deep-neural decision forest in tensorflow☆229Updated 7 years ago