Cortexsys
Deep learning toolkit
A toolbox for building and training deep neural networks in Matlab
Matlab GPU Accelerated Deep Learning Toolbox
70 stars
11 watching
28 forks
Language: Matlab
last commit: over 8 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An open-source C library providing tools and components for developing artificial intelligence-based techniques using deep learning. | 23 |
| A toolkit for using deep learning in microscopy without requiring extensive coding expertise | 568 |
| A Matlab toolbox for building and training deep neural networks | 0 |
| A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |
| Provides training materials and tools for building machine learning applications | 72 |
| A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
| A Matlab-based framework for building and training deep learning models | 271 |
| A lightweight MATLAB deeplearning toolbox for efficient neural network training and prediction. | 54 |
| A deep learning library for Rust with GPU acceleration and ergonomic API. | 1,754 |
| A toolkit for building and training machine learning models using a simple, easy-to-use interface. | 115 |
| A Matlab environment for training and using various deep learning architectures | 109 |
| A PyTorch-based toolbox for building and training deep learning models with ease. | 204 |
| A toolkit for molecular modeling and prediction tasks using deep learning | 988 |
| An extension of Keras with new functionalities including conversion from Caffe models and support for multimodal data. | 225 |
| A toolkit for training efficient neural network language models on large datasets with hierarchical softmax and noise contrastive estimation. | 560 |