weixsong / min-char-rnnLinks
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
☆137Updated 9 years ago
Alternatives and similar repositories for min-char-rnn
Users that are interested in min-char-rnn are comparing it to the libraries listed below
Sorting:
- learn how to create lstm recognize through Tensorflow☆21Updated 8 years ago
- Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/…☆189Updated 8 years ago
- MXNet based Neural Machine Translation☆118Updated 6 years ago
- Simple Examples using TensorFlow Eager Execution☆43Updated 7 years ago
- ☆214Updated 8 years ago
- The answer of Stanford cs224d course assignments☆27Updated 9 years ago
- How to use TensorLayer☆347Updated 6 years ago
- Links to a curated list of awesome implementations of models.☆135Updated 8 years ago
- DeepLearningBook 读书会笔记及讲义☆146Updated 8 years ago
- This code is written for the blogs☆271Updated 8 years ago
- Convolutional Neural Network for python users☆102Updated 8 years ago
- 中国特色深度学习训练插件，使用微信监控并控制keras训练过程☆142Updated 8 years ago
- compare embedding☆237Updated 9 years ago
- Using Keras+TensorFlow to solve NCFM-Leadboard Top 5%☆249Updated 8 years ago
- RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano☆69Updated 6 years ago
- A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)☆305Updated 8 years ago
- AI in action☆39Updated 7 years ago
- Tensorflow implementation of "Language Modeling with Gated Convolutional Networks"☆272Updated 8 years ago
- Code for Stanford CS224D: deep learning for natural language understanding☆223Updated 5 years ago
- Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language mo…☆44Updated 8 years ago
- An example of data parallelism and async updates of parameter in tensorflow.☆121Updated 6 years ago
- Assignments for Udacity Deep Learning class with TensorFlow in PURE Python, not IPython Notebook☆66Updated 7 years ago
- Python implementation of linear-chain conditional random fields.☆101Updated 12 years ago
- Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs☆127Updated 8 years ago
- The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org…☆56Updated 8 years ago
- Implementation of Character-level Convolutional Networks for Text Classification in TensorFlow☆81Updated 9 years ago
- ☆290Updated 8 years ago
- GAN讨论群讨论汇总的地方☆226Updated 7 years ago
- Code for TF tutorials (CS20SI and CS224N)☆47Updated 7 years ago
- auto-tuning momentum SGD optimizer☆424Updated 7 years ago