Amortized-SVGD-GAN
PyTorch-VAE
| Amortized-SVGD-GAN | PyTorch-VAE | |
|---|---|---|
| 1 | 5 | |
| 9 | 6,054 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | 15 days ago | |
| Python | Python | |
| - | Apache License 2.0 |
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Amortized-SVGD-GAN
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A way to draw samples from a continuous multidimensional probability distribution using Amortized Stein Variational Gradient Descent
My Github repo: https://github.com/mokeddembillel/Amortized-SVGD-GAN
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
What are some alternatives?
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.
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
torch-metrics - Metrics for model evaluation in pytorch
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Advanced-Deep-Learning-with-Keras - Advanced Deep Learning with Keras, published by Packt
minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.
vae-anomaly-detector - Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.