tabular-dl-pretrain-objectives
Revisiting Pretrarining Objectives for Tabular Deep Learning (by puhsu)
ConvNeXt
Code release for ConvNeXt model (by facebookresearch)
| tabular-dl-pretrain-objectives | ConvNeXt | |
|---|---|---|
| 1 | 7 | |
| 58 | 5,009 | |
| - | - | |
| 10.0 | 3.4 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| - | MIT License |
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.
tabular-dl-pretrain-objectives
Posts with mentions or reviews of tabular-dl-pretrain-objectives.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-03.
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[D] Influential papers round-up 2022. What are your favorites?
Found relevant code at https://github.com/puhsu/tabular-dl-pretrain-objectives + all code implementations here
ConvNeXt
Posts with mentions or reviews of ConvNeXt.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
-
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
What are some alternatives?
When comparing tabular-dl-pretrain-objectives and ConvNeXt you can also consider the following projects:
Swin-Transformer - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
tabular-dl-tabr - The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
stable-diffusion - A latent text-to-image diffusion model
MTR - The official implementation of the paper "Rethinking Data Augmentation for Tabular Data in Deep Learning"
Planet-Adventure- - Take a trip through our solar system and visit the planets!
GMAIL_TO_EXCEL_KEYWORD_SENDER_LIST - Get an EXCEL file of senders emailing you keywords [Moved to: https://github.com/daefv/Lights]