PyTorch-VAE
Robo-Semantic-Segmentation
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| PyTorch-VAE | Robo-Semantic-Segmentation | |
|---|---|---|
| 5 | 1 | |
| 6,013 | 0 | |
| - | - | |
| 0.0 | 0.0 | |
| 7 months ago | over 3 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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PyTorch-VAE
- Help with VAE
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Confusions on VAE implementation
I am a beginner in VAE implementation and I am currently going through codes here.
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Confusion regarding Variational AutoEncoder Implementation
I am referring to the code in the link here for VAE code. I have the following questions and confusions:
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How to extract feature from 2 tensors into one? what layer should be used?
Here's a repo that has a large number of VAE variants for Pytorch: https://github.com/AntixK/PyTorch-VAE
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VAEs
Face embedding with VAEs https://github.com/AntixK/PyTorch-VAE
Robo-Semantic-Segmentation
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Where do I even start? Image segmentation.
Hi, you can look at this https://github.com/The-ML-Hero/Robo-Semantic-Segmentation/ which is my GitHub repo. This repo is all about segmentation specifically semantic segmentation, I have a couple of questions where did you get the dataset? and do you have the dataset ready?. But before you use the code be sure to understand the workings of semantic image segmentation architectures. The repo is implemented in Pytorch which is in the python language.
What are some alternatives?
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
torch-metrics - Metrics for model evaluation in pytorch
qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
torch-points3d - Pytorch framework for doing deep learning on point clouds.
Implicit-Internal-Video-Inpainting - [ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)