Jupyter Notebook encoder-decoder-model

Open-source Jupyter Notebook projects categorized as encoder-decoder-model

Top 3 Jupyter Notebook encoder-decoder-model Projects

  • pytorch-seq2seq

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

  • DenseDepth

    High Quality Monocular Depth Estimation via Transfer Learning

  • Project mention: How to Estimate Depth from a Single Image | dev.to | 2024-04-25

    For a long time, the state-of-the-art models for monocular depth estimation such as DORN and DenseDepth were built with convolutional neural networks. Recently, however, both transformer-based models such as DPT and GLPN, and diffusion-based models like Marigold have achieved remarkable results!

  • 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
  • NLP-With-PyTorch

    My NLP experiments using PyTorch to solve some common NLP problems with advanced and state of the art deep learning techniques.

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).

Index

What are some of the best open-source encoder-decoder-model projects in Jupyter Notebook? This list will help you:

Project Stars
1 pytorch-seq2seq 5,204
2 DenseDepth 1,533
3 NLP-With-PyTorch 0

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com