ElasticFace
PyTorch-VAE
ElasticFace | PyTorch-VAE | |
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1 | 5 | |
152 | 6,013 | |
- | - | |
0.0 | 0.0 | |
about 1 year ago | 7 months ago | |
Python | Python | |
- | Apache License 2.0 |
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ElasticFace
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Face recognition models require different thresholds for different races? [D]
Hey, first of all, don't use FaceNet. It is outdated and performs way worse than modern solutions. You can use Elastic Face or MagFace (or any other SOTA FR model).
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.
FairScoreNormalization
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
StyleGAN.pytorch - A PyTorch implementation for StyleGAN with full features.
6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices
manga-image-translator - Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/
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)