Pinned Repositories
ArduinoTensorFlowLiteTutorials
docs
TensorFlow documentation
google-research
Google Research
harry_potter_nlp
Harry Potter and the Allocation of Dirichlet
hello-world
Saying hello to the world
How-to-build-own-text-summarizer-using-deep-learning
In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras
MeanSum
neural-mmo
Neural MMO - A Massively Multiagent Game Environment
PreSumm
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
research
dataset and code for 2016 paper "Learning a Driving Simulator"
astorytyme's Repositories
astorytyme/ArduinoTensorFlowLiteTutorials
astorytyme/docs
TensorFlow documentation
astorytyme/google-research
Google Research
astorytyme/harry_potter_nlp
Harry Potter and the Allocation of Dirichlet
astorytyme/hello-world
Saying hello to the world
astorytyme/How-to-build-own-text-summarizer-using-deep-learning
In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras
astorytyme/MeanSum
astorytyme/neural-mmo
Neural MMO - A Massively Multiagent Game Environment
astorytyme/PreSumm
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
astorytyme/research
dataset and code for 2016 paper "Learning a Driving Simulator"
astorytyme/speedchallenge
The comma.ai Speed Prediction Challenge!
astorytyme/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
astorytyme/tensorflow
An Open Source Machine Learning Framework for Everyone
astorytyme/text_summurization_abstractive_methods
Multiple implementations for abstractive text summurization , using google colab