NeuralNetworks VS segmentation_models

Compare NeuralNetworks vs segmentation_models and see what are their differences.

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NeuralNetworks segmentation_models
4 8
65 4,602
- -
0.0 0.0
over 1 year ago 4 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

segmentation_models

Posts with mentions or reviews of segmentation_models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

What are some alternatives?

When comparing NeuralNetworks and segmentation_models you can also consider the following projects:

coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

nnUNet

efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.

efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

SegmentationCpp - A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

unet - unet for image segmentation

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

ModelZoo.pytorch - Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

pointnet - PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation