papers-with-data
ten-weeks-of-plugins
| papers-with-data | ten-weeks-of-plugins | |
|---|---|---|
| 2 | 4 | |
| 124 | 14 | |
| 0.0% | - | |
| 6.9 | 7.5 | |
| 5 months ago | 6 months ago | |
| Python | ||
| Apache License 2.0 | MIT License |
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.
papers-with-data
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Elevate Your GitHub README Game
Over the past year, I’ve created a lot of GitHub repositories. Some of these repositories, such as my 10 Weeks of Plugins repo, are effectively aggregators — centralized locations that I can drive people to, almost like a personal Awesome list. Other repositories like VoxelGPT contain many moving pieces. Others still like Papers with Data are essentially minimum viable products for websites!
- CVPR 2023 Papers with Data Repo
ten-weeks-of-plugins
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Zero-Shot Prediction Plugin for FiftyOne
def _execution_mode(ctx, inputs): delegate = ctx.params.get("delegate", False) if delegate: description = "Uncheck this box to execute the operation immediately" else: description = "Check this box to delegate execution of this task" inputs.bool( "delegate", default=False, required=True, label="Delegate execution?", description=description, view=types.CheckboxView(), ) if delegate: inputs.view( "notice", types.Notice( label=( "You've chosen delegated execution. Note that you must " "have a delegated operation service running in order for " "this task to be processed. See " "https://docs.voxel51.com/plugins/index.html#operators " "for more information" ) ), ) def resolve_delegation(self, ctx): return ctx.params.get("delegate", False)
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Build Custom Computer Vision Applications
Stay tuned for the remainder of these ten weeks as we continue to pump out a killer lineup of plugins! You can track our journey in our ten-weeks-of-plugins repo — and I encourage you to fork the repo and join me on this journey!
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Elevate Your GitHub README Game
Over the past year, I’ve created a lot of GitHub repositories. Some of these repositories, such as my 10 Weeks of Plugins repo, are effectively aggregators — centralized locations that I can drive people to, almost like a personal Awesome list. Other repositories like VoxelGPT contain many moving pieces. Others still like Papers with Data are essentially minimum viable products for websites!
What are some alternatives?
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
vqa-plugin - Perform visual question answering on your images
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
rtdl - Research on Tabular Deep Learning [Moved to: https://github.com/yandex-research/rtdl]
squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]