stevenwudi / 3DCNN_HMM
3DCNN_HMM
☆15Updated 10 years ago
Related projects: ⓘ
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 8 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Updated 7 years ago
- Seq2Seq LSTM Autoencoder☆60Updated 8 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 8 years ago
- LSTM-Attention☆73Updated 6 years ago
- Use CNN to classify time series data for activity recognition☆26Updated 8 years ago
- experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"☆19Updated 8 years ago
- ClockworkRNN implementation using python and Theano☆17Updated 9 years ago
- Neural Network Models for Multi-label learning☆17Updated 3 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 8 years ago
- Attention models☆34Updated 8 years ago
- General Purpose Implementation of LSTM extended from OCROPUS to recognize any sequential data☆28Updated 10 years ago
- Classification of data using Restricted Boltzmann Machines and Deep Learning Networks☆19Updated 10 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆41Updated 9 years ago
- Recurrent Convolutional Memory Network (in progress)☆29Updated 8 years ago
- SparseAutoEncoder - Unsupervised Learning☆14Updated 12 years ago
- Experimentation with Highway Networks & GradNets☆13Updated 8 years ago
- GPU accelerated Deep Belief Network☆47Updated 9 years ago
- Theano implementation of CTC. Applied on TIMIT and a Toy dataset.☆34Updated 8 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- ☆18Updated 9 years ago
- CS231N Final Project - Andrew Giel, Ryan Diaz☆13Updated 9 years ago
- Deep Generative Stochastic Networks for Sequence Prediction☆9Updated last year
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 8 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆36Updated 3 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated 2 months ago
- The information sieve for discrete variables.☆35Updated 7 years ago
- ☆24Updated 8 years ago
- Visually informed embedding of word (VIEW) is a tool for transferring multimodal background knowledge to NLP algorithms.☆30Updated 8 years ago
- RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano☆69Updated 5 years ago