pytorch-GAT
2D-Gaussian-Splatting
| pytorch-GAT | 2D-Gaussian-Splatting | |
|---|---|---|
| 14 | 1 | |
| 2,222 | 292 | |
| - | - | |
| 0.0 | 6.4 | |
| over 1 year ago | 14 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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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
2D-Gaussian-Splatting
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[P] 2D Gaussian Splatting a great starting point for people who want to delve deeper
Github : https://github.com/OutofAi/2D-Gaussian-Splatting
What are some alternatives?
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
awesome-3D-gaussian-splatting - Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
SeeAI - Enabling computers to perform NLP on data obtained from advanced computer vision
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
TradeMaster - TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.