prariehill,github

lstm-text-generation

Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

maptool

Virtual Tabletop for playing roleplaying games with remote players or face to face.

Generates "natural-sounding" text using a Markov model and sample textual training input. Given some sample text from which to build a model, the program prints out one or more sentences by randomly traversing a Markov chain that models the source text.

mc2lib

Memory consistency model checking and test generation library.

meeink

Material Design click effect

monkeylearn

:monkey: R package for text analysis with Monkeylearn :monkey:

mta-lstm-tensorflow

Recent TensorFlow implementation of Topic-to-Essay Generation with Neural Networks.

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

nerd-fonts

:abcd: Iconic font aggregator, collection, and patcher. 40+ patched fonts, over 3,600 glyph/icons, includes popular collections such as Font Awesome & fonts such as Hack

nlpre

Python library for Natural Language Preprocessing (NLPre)

numpycnn

Convolutional neural network implementation using NumPy

old-mixer-tales

Wonderful stories of one strange old man.

open-guide

:green_book: An open book as a base for teaching and learning about open source product design; a collective understanding of what one should know today to get started and join the movement; a reference students, amateurs and educators can have in their back pocket when they go out to explain what they are passionate about.