JianboTang / RNN_MATLAB
this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to sequences) etc.GPU version is available
☆79Updated 7 years ago
Related projects: ⓘ
- LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is …☆247Updated 3 years ago
- A matlab version of lng short term memory☆21Updated 8 years ago
- deep belief network toolbox written in Matlab, including algorithms of unsupervised feature learning, deep learning, and general machine …☆18Updated 11 years ago
- Matlab codes for 2D Convolutional Neural Network☆46Updated 9 years ago
- LSTM by matlab☆47Updated 6 years ago
- MATLAB code for training deep belief networks☆48Updated 6 years ago
- 结合DBN和ELM的改进DBN-ELM模型☆22Updated 6 years ago
- ☆17Updated 6 years ago
- Comparative study of Prediction Models for Air Pollutant ( ANN, PCA-ANN, ANFIS, PCA-ANFIS )☆18Updated 7 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☆40Updated 8 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 8 years ago
- Vectorized multimodal LSTM using Matlab and GPU☆31Updated 8 years ago
- RNNTool is a matlab toolbox for Recurrent Neural Network☆11Updated 10 years ago
- Matlab codes for support vector regression (SVR) and revelance vector regression (RVR) analysis with cross validation to evaluate the pre…☆21Updated 4 years ago
- r and matlab code, datasets, published papers for my phd study 2011-2015☆45Updated 8 years ago
- Multi-output Least-Squares Support Vector Regressor☆52Updated 6 years ago
- Robust regularized Extreme Learning Machine (ELM) for regression using Iteratively Reweighted Least Squares (IRLS).☆32Updated 7 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆53Updated 2 years ago
- Matlab implementation of Extreme Learning Machine and variants☆29Updated 6 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆69Updated 3 years ago
- Matlab implementation of a Generative Adversarial Network☆21Updated 6 years ago
- Experiments on creating an SVM that can perform multi-class classification☆40Updated 10 years ago
- Regularized K-SVD Algorithm☆42Updated 7 years ago
- Generative Adversarial Nets for Matlab☆36Updated 7 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆42Updated 7 years ago
- Use of Particle Swarm optimization to train Neural netwrok on Matlab / Octave☆15Updated 7 years ago
- ☆10Updated 7 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 9 years ago
- Convolutional Deep Belief Networks with 'MATLAB','MEX','CUDA' versions☆35Updated 8 years ago
- This is a matlab-code implementation of convolutional neural network☆91Updated 7 years ago