pytorch-seq2seq
pytorch-GAT
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| pytorch-seq2seq | pytorch-GAT | |
|---|---|---|
| 3 | 14 | |
| 5,150 | 2,222 | |
| - | - | |
| 5.4 | 0.0 | |
| 3 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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pytorch-seq2seq
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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
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[D] Graph neural networks
This repo has a nice hands-on walkthrough: https://github.com/gordicaleksa/pytorch-GAT
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[Discussion] Who are some good deep learning YouTubers?
Maybe: https://youtube.com/c/TheAIEpiphany
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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!
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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?
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
ru-dalle - Generate images from texts. In Russian
TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
sequitur - Library of autoencoders for sequential data
pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.