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Top 5 Python convolutional-network Projects
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devicesProject mention: Does the Haskell client for Selenium still work? | reddit.com/r/haskell | 2022-06-29
You could already tell from my earlier comment, but I don't think Python is a good language, for anything really. It is used for AI so that today's hardware performs like hardware we had twenty years ago: https://github.com/thtrieu/darkflow/issues/904 Python code has slow execution speed. It is not always the Selenium which is slow. sometimes we need to look at code we are using. And Python is always the slowest programming language out there in terms of performance. It's also just a stupid language that annoys me and it's the same with other people: https://medium.com/nerd-for-tech/python-is-a-bad-programming-language-2ab73b0bda5 With Python, I find it a bit too easy to write sloppy code. Haskell on the other hand really forces you to break the problem done and abstract out reusable code. That's not to say that you can't write nice code in Python, just that Haskell doesn't let you get away with doing a lot of stupid stuff. This is equally important for Selenium.
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Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.Project mention: What Is DocArray? | news.ycombinator.com | 2022-10-02
The description of this is kind of confusing but I think the easiest way to understand it is that it is a data processing pipeline of sorts. Take unstructured data and apply transformation and computation. A similar project to this is Towhee (https://github.com/towhee-io/towhee). This project tries to simplify unstructured data processing and provides pretrained models and pipelines from their hub.
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"Project mention: Determine whether an image, from a given sequence of images, has changed considerably | reddit.com/r/computervision | 2022-05-07
Maybe you can try using an object detector, with the classes you are interested in and then processing the detections with another network to say if the objects are the same or not. Maybe you can try things like https://github.com/ducha-aiki/affnet
Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
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Python convolutional-networks related posts
What Is DocArray?
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Deep Dive into Real-World Image Search Engine with Python
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A quick tip on DataFrame.apply
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A python framework for unstructured data processing
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[P] Working on unstructured data?
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What is the best practice for injecting configuration into a python application
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Meet Towhee: All You Need For X2Vec
1 project | dev.to | 2 Mar 2022
A note from our sponsor - InfluxDB
www.influxdata.com | 28 Jan 2023
What are some of the best open-source convolutional-network projects in Python? This list will help you: