Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
We show that this interface meets the requirements for a broad range of hyperparameter search algorithms, allows straightforward scaling of search to large clusters, and simplifies algorithm implementation.
We introduce ParlAI (pronounced "par-lay"), an open-source software platform for dialog research implemented in Python, available at http://parl. ai.
Existing adversarial example research focuses on digitally inserted perturbations on top of existing natural image datasets.
We introduce PyText - a deep learning based NLP modeling framework built on PyTorch.
This paper introduces Multilingual LibriSpeech (MLS) dataset, a large multilingual corpus suitable for speech research.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
This paper introduces the Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words.
This paper describes ESPnet2-TTS, an end-to-end text-to-speech (E2E-TTS) toolkit.
These implementations serve both as a validation of our design decisions as well as an important contribution to reproducibility in RL research.