Robo-Semantic-Segmentation VS cresset

Compare Robo-Semantic-Segmentation vs cresset 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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cresset

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN. (by cresset-template)
Pytorch Docker Python Deep Learning Wheel Source source-python deep-learning-tutorial Build Cuda docker-compose Makefile Template template-repository Mlops Machine Learning mlops-template
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Robo-Semantic-Segmentation cresset
1 1
0 703
- 0.1%
0.0 6.6
over 3 years ago 18 days ago
Python Dockerfile
MIT License MIT License
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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.

cresset

Posts with mentions or reviews of cresset. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Robo-Semantic-Segmentation and cresset 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

jina - ☁️ Build multimodal AI applications with cloud-native stack

torch-metrics - Metrics for model evaluation in pytorch

stable-diffusion-k8s - ⚡Instant Stable Diffusion on k8s(Kubernetes) with Helm

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

blender-docker-cli - :monkey_face: Blender in :whale: Docker

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

docker-python-chromedriver - Dockerfile for running Python Selenium in headless Chrome (Python 2.7 / 3.6 / 3.7 / 3.8 / Alpine based Python / Chromedriver / Selenium / Xvfb included in different versions)

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

sagemaker-distribution - A set of Docker images that include popular frameworks for machine learning, data science and visualization.

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

docker-python3 - Python 3 build that is 20% faster

Robo-Semantic-Segmentation vs ros-semantic-segmentation-pytorch cresset vs jina Robo-Semantic-Segmentation vs torch-metrics cresset vs stable-diffusion-k8s Robo-Semantic-Segmentation vs PyTorch-VAE cresset vs blender-docker-cli Robo-Semantic-Segmentation vs ludwig cresset vs docker-python-chromedriver Robo-Semantic-Segmentation vs torch-points3d cresset vs sagemaker-distribution Robo-Semantic-Segmentation vs Implicit-Internal-Video-Inpainting cresset vs docker-python3