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Little More Advanced TensorFlow Implementations
各种深度学习结构、模型和技巧的集合
This repo contains all the notebooks mentioned in blog.
Fantasy name generator in TensorFlow
Multi-layer Recurrent Neural Networks for character-level language models implements by TensorFlow
Minimal implementation of Multi-layer Recurrent Neural Networks (LSTM) for character-level language modelling in PyTorch
TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts
Crossfit WOD generator using recurrent neural networks (LSTM), implemented in Tensorflow
char-rnn implementation for sentiment analysis on twitter data
Extrapolate gender from first names using Naïve-Bayes and PyTorch Char-RNN
Sequence Tagger implementation
⏱️ char-rnn for time series data
Tensorflow jupyter-notebook for visualization of text-generation from multiple sources with deep LSTMs
Code for "CharManteau: Character Embedding Models For Portmanteau Creation. EMNLP 2017. Varun Gangal*, Harsh Jhamtani*, Graham Neubig, Eduard Hovy, Eric Nyberg"
Generates subtle asian dating posts using Markov Chains
"Having Fun with Recurrent Neural Networks (RNNs)" - Tutorial for PyData 2017 - TensorFlow - Text [and songs] Generation
Natural Language Processing with Deep Learning, Keras and Recurrent Neural Networks. Deployed to Heroku.
Simple recurrent neural network for text generation. Based on https://gist.github.com/karpathy/d4dee566867f8291f086
Learning how to program a Discord bot in Python and hooking it to char-rnn
This project is the implementation of Andrej Karpathy implementation of chracter RNN model in Keras. This generates the Nepali poet train on Laxmi Prasad Devkota Poems.
Char-RNN generated Dr. Seuss
Multi-layer Recurrent Neural Networks (LSTM,RNN) for character-level language models in Python using Tensorflow.
Character-based RNN for generating Dungeons and Dragons character names based on race and gender.
A character-level multi-layer LSTM to generate TED Talks