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parallel-training

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☄️ Parallel and distributed training with spaCy and Ray

  • UpdatedJul 31, 2023
  • Python

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

  • UpdatedMar 26, 2021
  • Jupyter Notebook

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

  • UpdatedDec 24, 2024
  • Python

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.

  • UpdatedNov 11, 2020
  • Jupyter Notebook

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