pyrenn
RNN toolkit
A toolbox for creating and training recurrent neural networks
A Recurrent Neural Network Toolbox for Python and Matlab
99 stars
11 watching
42 forks
Language: MATLAB
last commit: about 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A Matlab toolbox providing a flexible implementation of deep learning architectures for sequences learning, including RNNs, LSTMs, and sequence-to-sequence models. | 80 |
| A collection of PyTorch implementations of various scene graph generation models | 732 |
| An implementation of a lightweight convolutional neural network architecture for mobile devices | 191 |
| A framework for building custom recurrent neural networks with Keras | 765 |
| A demonstration project of a recurrent neural network implemented with Theano | 377 |
| A deep learning implementation of a VRNN model for sequential data processing | 282 |
| Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
| A library for building recurrent neural networks in Ruby using the tlearn simulator. | 96 |
| An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
| An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |
| Implementations of Dilated Recurrent Neural Networks in PyTorch | 211 |
| A Python package for training spiking neural networks with gradient-based learning | 1,383 |
| An implementation of a deep neural network architecture for image classification tasks | 273 |
| A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
| A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 |