Implementation of our paper "Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation"

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

A full spaCy pipeline and models for scientific/biomedical documents.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…

TensorFlow code and pre-trained models for BERT