[D] Resources for Understanding The Original Transformer Paper

• Seq2seq-PyTorch

  2 76 0.0 Python

Code for https://arxiv.org/abs/1508.04025 found: https://github.com/b-etienne/Seq2seq-PyTorch

• seq2seq

  1 390 0.0 Python

  Attention-based sequence to sequence learning (by alex-berard)

Code for https://arxiv.org/abs/1409.0473 found: https://github.com/eske/seq2seq

• InfluxDB

  www.influxdata.com featured

  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.

  

• tensor2tensor

  8 13,873 6.2 Python

  Discontinued Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  

Code for https://arxiv.org/abs/1706.03762 found: https://github.com/tensorflow/tensor2tensor

• Deep-Learning-Papers-Reading-Roadmap

  5 37,120 0.0 Python

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap - This one is a bit dated so it doesn’t contain all of the papers that you need to read to get up to date but I think you should definitely read all of the papers in this list and implement as much as you can.

• pytorch-seq2seq

  3 5,175 5.4 Jupyter Notebook

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

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

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