yanboxue / rnntoolLinks
RNNTool is a matlab toolbox for Recurrent Neural Network
☆11Updated 11 years ago
Alternatives and similar repositories for rnntool
Users that are interested in rnntool are comparing it to the libraries listed below
Sorting:
- this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to…☆79Updated 8 years ago
- This is a matlab-code implementation of convolutional neural network☆105Updated 8 years ago
- Efficient, transparent deep learning in hundreds of lines of code.☆274Updated 6 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is …☆272Updated 4 years ago
- Vectorized multimodal LSTM using Matlab and GPU☆32Updated 9 years ago
- Local Receptive Fields Based Extreme Learning Machine☆31Updated 9 years ago
- Matlab codes for 2D Convolutional Neural Network☆48Updated 10 years ago
- RBM/DBN implementation with tensorflow attempt project☆80Updated 9 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆148Updated 9 years ago
- conditional generative adversarial network☆16Updated 8 years ago
- A lightweight MATLAB deeplearning toolbox,based on gpuArray.☆53Updated 7 years ago
- Deep Learning Toolbox in Matlab☆13Updated 7 years ago
- ☆89Updated 7 years ago
- ☆40Updated 9 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调☆42Updated 9 years ago
- Gaussian Mixture Models in Python☆154Updated 13 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Generative Adversarial Nets for Matlab☆36Updated 8 years ago
- 迁移学习☆18Updated 7 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆190Updated 10 years ago
- Implementation of Steepest Descent, Newton, Quasi-Newton and Conjugate Gradient for non-linear unconstrained optimization☆28Updated 12 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆153Updated 2 years ago
- deep belief network toolbox written in Matlab, including algorithms of unsupervised feature learning, deep learning, and general machine …☆18Updated 12 years ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆208Updated 8 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆74Updated 13 years ago