deviceidentifier-py
Utils to manipulate and learn from assorted device identifier formats via Reincubate's API. (by reincubate)
PaddleHub
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving) (by PaddlePaddle)
| deviceidentifier-py | PaddleHub | |
|---|---|---|
| 2 | 9 | |
| 13 | 12,548 | |
| - | 0.7% | |
| 0.0 | 1.9 | |
| 1 day ago | 7 months ago | |
| Python | Python | |
| GNU Lesser General Public License v3.0 only | 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.
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.
deviceidentifier-py
Posts with mentions or reviews of deviceidentifier-py.
We have used some of these posts to build our list of alternatives
and similar projects.
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Ipad Serial --> Ipad Info
There’s a restful API by reincubate that seems to do what you need although it looks expensive.
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Using excel data for web input
Searching for "apple serial number lookup API" I found this library that should still work https://github.com/reincubate/deviceidentifier-py
PaddleHub
Posts with mentions or reviews of PaddleHub.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-10.
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Where are all the multi-modal models?
China: All of the ERNIE 260B cross-modal stuff.
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[R] ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts + Gradio Demo
Hmm, is the code published? The thing on github just makes requests to a remote server.
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PaddleHub ERNIE-ViLG
PaddleHub has many interesting model, I have starred it. https://github.com/PaddlePaddle/PaddleHub
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[R] ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
Was someone able to find out how big the model is and what hardware you need to run it? That info seems to be missing here.
- Baidu ERNIE-ViLG, output comparable to Stable Diffusion, better in anime
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ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
note this is an updated version, more info here (in chinese): https://github.com/PaddlePaddle/PaddleHub/tree/develop/modules/image/text_to_image/ernie_vilg
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A text-to-image web app for ERNIE-ViLG is available, with output at 1024x1024 pixels. Example: "a beautiful chipmunk iceskating" (translated to Simplified Chinese by Google Translate). Links are in a comment.
GitHub repo.
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[P] PaddleHub: An awesome and easy-to-use pre-trained models toolkit
code：https://github.com/PaddlePaddle/PaddleHub
What are some alternatives?
When comparing deviceidentifier-py and PaddleHub you can also consider the following projects:
DECA - DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
HDR-Multi-Tool - A graphical user interface for parsing HDR10+ and Dolby Vision
spleeter - Deezer source separation library including pretrained models.
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
allennlp - An open-source NLP research library, built on PyTorch.
CoreML-Models - Largest list of models for Core ML (for iOS 11+)
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.