Robo-Semantic-Segmentation VS PyTorch-VAE

Compare Robo-Semantic-Segmentation vs PyTorch-VAE and see what are their differences.

Robo-Semantic-Segmentation

Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline (by The-ML-Hero)
Deep Learning deep-neural-networks Deeplearning Computer Vision semantic-segmentation Segmentation Image processing Python Python3 Pytorch pytorch-implementation
Source Code
the-ml-hero.github.io
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PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch. (by AntixK)
Pytorch pytorch-implementation vae vae-implementation Deep Learning reproducible-research paper-implementations pytorch-vae variational-autoencoders Architecture beta-vae vqvae gumbel-softmax celeba-dataset iwae wae dfc-vae
Source Code
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Robo-Semantic-Segmentation PyTorch-VAE
1 5
0 5,989
- -
0.0 0.0
over 3 years ago 7 months ago
Python Python
MIT License Apache License 2.0
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Robo-Semantic-Segmentation

Posts with mentions or reviews of Robo-Semantic-Segmentation. We have used some of these posts to build our list of alternatives and similar projects.
  • Where do I even start? Image segmentation.
    1 project | /r/learnprogramming | 27 Jan 2021
    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.

PyTorch-VAE

Posts with mentions or reviews of PyTorch-VAE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.

What are some alternatives?

When comparing Robo-Semantic-Segmentation and PyTorch-VAE you can also consider the following projects:

ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

torch-metrics - Metrics for model evaluation in pytorch

6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices

torch-points3d - Pytorch framework for doing deep learning on point clouds.

disentangling-vae - Experiments for understanding disentanglement in VAE latent representations

Implicit-Internal-Video-Inpainting - [ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation

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)

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Robo-Semantic-Segmentation vs ros-semantic-segmentation-pytorch PyTorch-VAE vs Awesome-VAEs Robo-Semantic-Segmentation vs torch-metrics PyTorch-VAE vs 6DRepNet Robo-Semantic-Segmentation vs ludwig PyTorch-VAE vs qubo-nn Robo-Semantic-Segmentation vs torch-points3d PyTorch-VAE vs disentangling-vae Robo-Semantic-Segmentation vs Implicit-Internal-Video-Inpainting PyTorch-VAE vs torch-metrics Robo-Semantic-Segmentation vs TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch PyTorch-VAE vs benchmark_VAE