Petros Christodoulou

PyTorch implementations of deep reinforcement learning algorithms and environments

Build neural networks with less boilerplate code

Simple colab notebooks that achieve high scores in NLP competitions

Uses a GAN to generate new pokemon

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.

Neural question generation using transformers

Coursework for 608 Knowledge and Visual Analytics, MS in Data Analytics at CUNY SPS

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🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

The Full Stack Nanodegree course 4 project

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