write-rnn-tensorflow
Handwriting generator
Generates handwritten characters using an LSTM mixture density network with TensorFlow
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
700 stars
29 watching
168 forks
Language: Python
last commit: almost 7 years ago
Linked from 1 awesome list
jtoy/awesome-tensorflowRelated projects:
| Repository | Description | Stars |
|---|---|---|
 batzner/tensorlm | A library for text generation with recurrent neural networks using TensorFlow | 61 |
 l1aoxingyu/char-rnn-gluon | A Python implementation of a character-level Recurrent Neural Network (RNN) text generator using the MXNet Gluon framework. | 58 |
 tensorflow/gnn | Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,362 |
 sherjilozair/char-rnn-tensorflow | A tool for training and sampling character-level language models using multi-layer recurrent neural networks | 2,643 |
| l1aoxingyu/char-rnn-pytorch | A PyTorch implementation of character-level RNN text generation using Gluon, trained on poetry and music lyrics data. | 141 |
| hardmaru/pytorch_notebooks | A collection of tutorial notebooks focused on building and training neural networks using PyTorch. | 385 |
 liqimai/gcn | An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. | 45 |
 carpedm20/lstm-char-cnn-tensorflow | An implementation of Character-Aware Neural Language Models using TensorFlow and combining multiple neural network architectures. | 769 |
 guillaumegenthial/sequence_tagging | Named Entity Recognition model using LSTM and CRF with character embeddings | 1,946 |
 wenxinxu/resnext-in-tensorflow | An implementation of a deep neural network architecture in TensorFlow | 78 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 244 |
 zsdonghao/text-to-image | A TensorFlow implementation of generating images from text descriptions using a Generative Adversarial Network (GAN) architecture | 599 |
 dinghanshen/swem | A software project that implements word embedding-based models for text classification tasks and provides pre-trained embeddings and evaluation scripts. | 284 |
 hkust-knowcomp/r-net | An implementation of R-Net, a machine reading comprehension model using TensorFlow. | 578 |
| tensorflow/text | Preprocessing and processing tools for text data in machine learning models | 1,233 |