LSTM-MATLAB
LSTM algorithm
An implementation of the Long Short-term Memory (LSTM) algorithm in MATLAB
LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-Term Memory: An Optimization Perspective, NIPS deep learning workshop, 2014.
252 stars
26 watching
141 forks
Language: MATLAB
last commit: almost 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
cwxcode/lstm-matlab | A Matlab implementation of a Long Short-Term Memory neural network architecture | 50 |
unixyhuang/pso_lstm-example | A MATLAB implementation of a PSO algorithm combined with LSTM networks for predictive modeling. | 53 |
wojzaremba/lstm | A package to train a neural network for language modeling using a variant of the Long Short Term Memory algorithm | 664 |
rishirdua/machine-learning-matlab | Matlab implementation of machine learning algorithms | 59 |
harimkang/lstm-prediction | A time series prediction project using LSTM algorithm to forecast jeans prices based on historical sales data | 56 |
robromijnders/lstm_tsc | An implementation of a Long Short-term memory model for time series classification using Python and TensorFlow. | 408 |
rlee32/lbm_matlab | A MATLAB implementation of various Lattice Boltzmann Method (LBM) codes for simulating fluid dynamics and turbulence | 88 |
thealgorithms/matlab-octave | A collection of algorithms and data structures in MATLAB/Octave, including solutions to Project Euler problem sets. | 371 |
springer-math/linear-programming-using-matlab | MATLAB implementations of linear programming algorithms and methods | 44 |
trekhleb/machine-learning-octave | A repository providing MatLab/Octave examples and explanations of popular machine learning algorithms | 852 |
zlpure/machine-learning--coursera | A comprehensive solution to machine learning assignments on Coursera with MATLAB code | 55 |
thedatumorg/kshape-matlab | A Matlab implementation of an efficient and accurate unsupervised method for clustering time-series data | 53 |
xiaoyang-rebecca/patternrecognition_matlab | An investigation into feature reduction and classification methods for pattern recognition using various techniques such as PCA, LDA, and SVM. | 71 |
hiroyuki-kasai/sgdlibrary | A collection of stochastic optimization algorithms for large-scale machine learning problems | 218 |
matlab-deep-learning/llms-with-matlab | Connects MATLAB to LLM APIs for natural language processing capabilities | 113 |