Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! (by floodsung)
Seq2seq-PyTorch
By b-etienne
Our great sponsors
| Deep-Learning-Papers-Reading-Roadmap | Seq2seq-PyTorch | |
|---|---|---|
| 5 | 2 | |
| 37,120 | 76 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 4 years ago | |
| Python | Python | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Deep-Learning-Papers-Reading-Roadmap
Posts with mentions or reviews of Deep-Learning-Papers-Reading-Roadmap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-08.
-
[D] Resources for Understanding The Original Transformer Paper
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.
Seq2seq-PyTorch
Posts with mentions or reviews of Seq2seq-PyTorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-31.
-
test
Found relevant code at https://github.com/b-etienne/Seq2seq-PyTorch + all code implementations here
-
[D] Resources for Understanding The Original Transformer Paper
Code for https://arxiv.org/abs/1508.04025 found: https://github.com/b-etienne/Seq2seq-PyTorch
What are some alternatives?
When comparing Deep-Learning-Papers-Reading-Roadmap and Seq2seq-PyTorch you can also consider the following projects:
faceswap - Deepfakes Software For All
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Keras - Deep Learning for humans
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
seq2seq - Attention-based sequence to sequence learning
seq2seq - Attention-based sequence to sequence learning [Moved to: https://github.com/alex-berard/seq2seq]
Deep-Learning-Papers-Reading-Roadmap vs faceswap
Deep-Learning-Papers-Reading-Roadmap vs Real-Time-Voice-Cloning
Deep-Learning-Papers-Reading-Roadmap vs pytorch-seq2seq
Deep-Learning-Papers-Reading-Roadmap vs Keras
Deep-Learning-Papers-Reading-Roadmap vs tensor2tensor
Deep-Learning-Papers-Reading-Roadmap vs seq2seq
Seq2seq-PyTorch vs tensor2tensor
Seq2seq-PyTorch vs pytorch-seq2seq
Seq2seq-PyTorch vs seq2seq
Seq2seq-PyTorch vs seq2seq