Jupyter Notebook neural-machine-translation

Open-source Jupyter Notebook projects categorized as neural-machine-translation

Top 4 Jupyter Notebook neural-machine-translation Projects

  • pytorch-seq2seq

    Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  • coursera-deep-learning-specialization

    Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  • Project mention: coursera-deep-learning-specialization: NEW Courses - star count:2327.0 | /r/algoprojects | 2023-11-21
  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • OpenNMT-Tutorial

    Neural Machine Translation (NMT) tutorial. Data preprocessing, model training, evaluation, and deployment.

  • transformer-tf

    This repository contains the code for the paper "Attention Is All You Need" i.e The Transformer.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook neural-machine-translation related posts

Index

What are some of the best open-source neural-machine-translation projects in Jupyter Notebook? This list will help you:

Project Stars
1 pytorch-seq2seq 5,150
2 coursera-deep-learning-specialization 2,679
3 OpenNMT-Tutorial 136
4 transformer-tf 6

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