kangas
pandas-paddles
| kangas | pandas-paddles | |
|---|---|---|
| 12 | 2 | |
| 1,029 | 5 | |
| 0.6% | - | |
| 7.1 | 6.9 | |
| 25 days ago | 23 days ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
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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!
pandas-paddles
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Experimenting with Pandas Fluent API: avoiding lambdas
I've done something similar: pandas-selector. It's using DF to access the dataframe in assign() or loc[]. You're example would read:
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New project pandas-selector: helper for pandas to make operation-chaining cleaner
Hi, I've created a small pandas helper (GitHub, PyPI, RTD) I find really useful. It allows you to write cleaner operation chains, e.g. chaining assign and loc:
What are some alternatives?
eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
objectiv-analytics - Open-source product analytics infrastructure for data teams that want full control. Built for high quality data collection and ready to use for advanced analytics & ML.
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library
pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
thesis_undergrad - Documentation: Methodology and Exploratory Data Analysis