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ConvNeXt reviews and mentions
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Sunday Daily Thread: What's everyone working on this week?
Excited to share a python package that I've released (working on it for a while now): git: https://github.com/sashank-tirumala/yaml_config_override pypi: https://pypi.org/project/yaml-config-override/ The idea is simple, often you need to write hundred lines of 'argparse' code for deep learning and machine learning projects (example). To avoid that we create config files (yaml) but then there are times when you just want to overwrite the config values with 'argparse'. This package automates that process. It automatically adds command line arguments from config file definitions and then also overwrites config file arguments with your command line arguments. So for example:
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[D] Influential papers round-up 2022. What are your favorites?
Found relevant code at https://github.com/facebookresearch/ConvNeXt + all code implementations here
- Are transformers taking over CNNs in the computer vision field ?
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[D] What is your setup for setting up and monitoring experiments in the cloud?
Have you considered using monitor services such as Wandb? https://github.com/facebookresearch/ConvNeXt provides the code for distributed training, which you can refer to. It is a big tricky to make it work when using distributed training, but obviously it is better than regularly checking progress.
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[R] Facebook AI & UC Berkeley’s ConvNeXts Compete Favourably With SOTA Hierarchical ViTs on CV Benchmarks
The ConvNeXt code is available on the project’s GitHub. The paper A ConvNet for the 2020s is on arXiv.
The ConvNeXt code is available on the project’s GitHub. The paper A ConvNet for the 2020s is on arXiv.
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Convolution is not dead. (A ConvNet for the 2020s)
Code: https://github.com/facebookresearch/ConvNeXt
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
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facebookresearch/ConvNeXt is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of ConvNeXt is Python.
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