Top 3 Jupyter Notebook encoder-decoder-model Projects
-
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
-
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.
-
NLP-With-PyTorch
My NLP experiments using PyTorch to solve some common NLP problems with advanced and state of the art deep learning techniques.
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!
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