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Image-similarity-measures Alternatives
Similar projects and alternatives to image-similarity-measures based on common topics and language
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ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. (by pytorch)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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generative-evaluation-prdc
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
image-similarity-measures reviews and mentions
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Using VAE for image compression
Speaking of math, using this library -- https://github.com/up42/image-similarity-measures -- I computed the following for these images vs the original image:
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I matched 400+ images to create illusion of motion [epilepsy]
The easiest place to start is using the classical approaches such as implemented here. For the kind of qualitative assessments you're performing, you'd probably need to use some deep learning techniques but these generally require significant technical background to implement.
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I made a website that tracks Forsen's Jump King progress and can notify you above chosen percentage.
I use https://github.com/up42/image-similarity-measures for image similarity.
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A note from our sponsor - SaaSHub
www.saashub.com | 26 Apr 2024
Stats
up42/image-similarity-measures is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of image-similarity-measures is Python.
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