app VS deepvision

Compare app vs deepvision and see what are their differences.

app

Moved to https://github.com/labmlai/labml/tree/master/app (by lab-ml)
Pytorch Mobile Tensorflow Deep Learning Visualization D3 React Keras

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deepvision

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc. (by DavidLandup0)
cnn-classification Computer Vision efficientnetv2 Evaluation Keras pretrained-models Pytorch pytorch-lightning resnet Tensorflow vision-transformer Visualization Deep Learning image-classification nerf neural-radiance-fields segformer semantic-segmentation
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app deepvision
1 1
119 30
- -
9.9 5.1
almost 3 years ago 10 months ago
TypeScript Python
MIT License Apache License 2.0
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.

app

Posts with mentions or reviews of app. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-04.

deepvision

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

What are some alternatives?

When comparing app and deepvision you can also consider the following projects:

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

pytorch2keras - PyTorch to Keras model convertor

awesome-modular-pytorch-lightning - LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.

SHREC2023-ANIMAR - Source codes of team TikTorch (1st place solution) for track 2 and 3 of the SHREC2023 Challenge

Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

dream-creator - Quickly and easily create / train a custom DeepDream model

pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more [Moved to: https://github.com/huggingface/pytorch-image-models]

Stock-Prediction-Neural-Network-and-Machine-Learning-Examples - Examples of python neural net and ML stock prediction methods with sample stock data.

app vs labml deepvision vs pytorch2keras deepvision vs awesome-modular-pytorch-lightning deepvision vs SHREC2023-ANIMAR deepvision vs Open3D-ML deepvision vs datasets deepvision vs Efficient-AI-Backbones deepvision vs dream-creator deepvision vs pytorch-image-models deepvision vs pytorch-image-models deepvision vs Stock-Prediction-Neural-Network-and-Machine-Learning-Examples