thesis_undergrad
kangas
| thesis_undergrad | kangas | |
|---|---|---|
| 1 | 12 | |
| 6 | 1,029 | |
| - | 0.6% | |
| 2.6 | 7.1 | |
| almost 2 years ago | 22 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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thesis_undergrad
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[OC] 20 years of historical hotspots in Yucatan, Mexico.
• Data processing: NASA’s FIRMS data provide hotspots for the country, so I had to limit it to the state of Yucatan, and I used this dataset as part of my undergrad thesis project. So, the jupyter notebook with the data processing code is here (in Spanish) https://github.com/isaacarroyov/thesis_undergrad/blob/main/Ch_05/ch05_05.ipynb
kangas
- Kangas: Pandas for Multimedia Datasets
- Reimagining Santa Clause with Stable Diffusion
- Reimagining Santa Claus with Stable Diffusion
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[P] Kangas 2.0: EDA for Computer Vision Datasets
We're incredibly grateful to the community here for all the feedback and support you've offered so far. It's been very helpful to us in setting our roadmap, and motivating our continued work. If you're curious about Kangas, please take it for a spin by running any of the Colab notebooks linked in the project README, or by visiting https://kangas.comet.com, where we've deployed a demo app.
- Kangas – Exploratory Data Analysis for Computer Vision Datasets
- Kangas: Explore Multimedia Datasets at Scale
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kangas is a new python library and I'm sharing how I used this to evaluate my images in my object detection project.
Github: https://github.com/comet-ml/kangas
- Kangas V1: A pandas-like library for exploring multimedia data
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My company just released a New Open Source Project called Kangas. Here's a video of me showing how I used the tool to visualize my Experience Replay Buffers for my RL Robotics Environment!
Just wanted to alert the RL community of a cool new open-source tool that was just released. Kangas Datagrid is like Excel/Pandas but for Images! It's super easy to use and install! Check out the repository and also a live interactive demo here!
What are some alternatives?
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sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
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