pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. (by bentrevett)
pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples! (by gordicaleksa)
| pytorch-seq2seq | pytorch-GAT | |
|---|---|---|
| 3 | 14 | |
| 5,628 | 2,618 | |
| 0.0% | 1.5% | |
| 5.4 | 0.0 | |
| almost 2 years ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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.
pytorch-seq2seq
Posts with mentions or reviews of pytorch-seq2seq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-29.
- A Good Github Repo to Look at (CS388 Natural Language Processing)
I don't know how many people are taking CS388 NLP in Fall 2022, but the assignment is really putting lots of stress on me. I was searching some good materials to prepare for NLP class, and a really good resource to look at is this github repo: https://github.com/bentrevett/pytorch-seq2seq.
- [D] How to truly understand attention mechanism in transformers?
- [D] Resources for Understanding The Original Transformer Paper
pytorch-GAT
Posts with mentions or reviews of pytorch-GAT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-02.
- [D] Graph neural networks
This repo has a nice hands-on walkthrough: https://github.com/gordicaleksa/pytorch-GAT
- [Discussion] Who are some good deep learning YouTubers?
Maybe: https://youtube.com/c/TheAIEpiphany
- Any resources to learn MDPs and finally complex POMDPs?
I would suggest these three resources: 1: Richard Sutton’s book 2:Reinforcement learning lecture series by deep mind 3:Deep RL lectures by deep mind 4: spinning up by open Ai -> very good resource for key research papers. Try to read and then implement them 5: Practical RL channel by machine learning with Phil. -> good resource on getting to know how to implement deep RL algorithms 6: Research paper breakdown/ practical DL -> good channel to follow for how to understand latest research papers
- Open-source Graph Attention Network (GAT) project with transductive + inductive Jupiter notebooks !
- Obrazovanje
- Open-source Graph Attention Network (GAT) project with transductive + inductive Jupiter notebooks!
- Graph Attention Network project walkthrough! (recently open-sourced <3 )
GitHub link: https://github.com/gordicaleksa/pytorch-GAT
- Show HN: I'm Open-Sourcing Graph Attention Network (GAT) PyTorch
What are some alternatives?
When comparing pytorch-seq2seq and pytorch-GAT you can also consider the following projects:
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Deep-Learning-Papers-Reading-Roadmap - Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
graph_nets - Build Graph Nets in Tensorflow