PyTorch-VAE
minimal_VAE_on_Mario
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PyTorch-VAE | minimal_VAE_on_Mario | |
---|---|---|
5 | 1 | |
5,989 | 15 | |
- | - | |
0.0 | 3.5 | |
7 months ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | - |
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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
minimal_VAE_on_Mario
What are some alternatives?
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices
pytorch-vqvae - Vector Quantized VAEs - PyTorch Implementation
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
torch-metrics - Metrics for model evaluation in pytorch