recurrent-neural-networks topic
im2latex-tensorflow
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
keras-anomaly-detection
Anomaly detection implemented in Keras
PsychRNN
recurrent-entity-networks
TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".
skiprnn-2017-telecombcn
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
gdax-orderbook-ml
Application of machine learning to the Coinbase (GDAX) orderbook
Sequence-to-Sequence-Learning-of-Financial-Time-Series-in-Algorithmic-Trading
My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓
SimpleDNN
SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks
AI-Reading-Materials
Some of the ML and DL related reading materials, research papers that I've read
LSTM-Text-Generation
Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣