Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch

☄️ Parallel and distributed training with spaCy and Ray

Cross-lingual Language Model (XLM) pretraining and Model-Agnostic Meta-Learning (MAML) for fast adaptation of deep networks

A simple package for distributed model training using Distributed Data Parallel (DDP) in PyTorch.

This repository is a tutorial targeting how to train a deep neural network model in a higher efficient way. In this repository, we focus on two main frameworks that are Keras and Tensorflow.