🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A collection of design patterns/idioms in Python

Papers on Computational Advertising

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Conditional Transformer Language Model for Controllable Generation

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.

Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning

PyMarket is a python library aimed to ease the design, simulation and comparison of different market mechanisms.