deepmat
Deep learning framework
An implementation of various deep learning architectures and algorithms
Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
188 stars
26 watching
95 forks
Language: Matlab
last commit: almost 10 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A Matlab-based framework for building and training deep learning models | 271 |
| A deep learning framework that enables efficient and flexible distributed/mobile deep learning with dynamic dataflow dependency scheduling | 28 |
| An API that simplifies the development of deep learning architectures by providing a high-level abstraction around PyTorch. | 360 |
| A Matlab toolbox for building and training deep neural networks | 0 |
| Implementations of various deep learning algorithms in Python using Theano and Lasagne. | 24 |
| A deep learning framework built on top of Theano, providing a wide range of models and training techniques for research and development. | 267 |
| A high-level deep learning framework for building and training neural networks on multiple backend engines | 62,196 |
| A Java implementation of deep learning algorithms and neural networks with GPU acceleration | 1,233 |
| A fast and modular deep learning framework for computer vision tasks. | 169 |
| A lightweight MATLAB deeplearning toolbox for efficient neural network training and prediction. | 54 |
| A Julia-based framework for building and training neural networks | 144 |
| A Python implementation of graph matching-based deep neural network fusion with applications to model ensemble and federated learning. | 18 |
| A collection of MATLAB implementations for Generative Adversarial Networks (GANs) and related deep learning techniques | 190 |
| A deep learning framework implemented in Julia for automatic differentiation and GPU operation. | 1,431 |
| Provides MATLAB code and dataset for training machine learning models in millimeter wave and massive MIMO systems | 162 |