unpic
spotlight
| unpic | spotlight | |
|---|---|---|
| 1 | 24 | |
| 261 | 1,018 | |
| - | - | |
| 7.9 | 9.8 | |
| 2 months ago | 8 days ago | |
| TypeScript | TypeScript | |
| - | MIT License |
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unpic
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A minimal, multi-framework, responsive image component
Inspired by this, I built unpic, a library for detecting, parsing and generating image CDN URLs. The next step from that was to use this to create an image component that take any image CDN URL and generates all of the correct source images.
spotlight
- Renumics/spotlight: Interactively explore unstructured datasets from dataframes
- Open source data analysis software for vehicle data/telemetry - feedback and contributions welcome
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OSS project: Interactively explore 🤗 datasets with one line of code
If run into trouble feel free to open an issue on Github: https://github.com/Renumics/spotlight
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Show HN: Interactively explore your Hugging Face dataset with one line of code
Hey HN,
when building ML systems for industrial AI, we have learned that data inspection is critical during the ML development process. We are also big fans of the Hugging Face ecosystem.
That is why we built an integration to our data exploration tool Spotlight that allows you to interactively explore Hugging Face datasets with one line of code.
Spotlight lets you leverage model results such as predictions and embeddings to gain a deeper understanding in data segments and model failure modes.
Currently, many many NLP, CV, Audio and multimodal datasets are supported both locally and on the hub.
You can find more info on the Hugging Face blog: https://huggingface.co/blog/scalable-data-inspection
Link to repo: https://github.com/Renumics/spotlight
Happy to hear your feedback!
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Hacktoberfest Machine Learning Projects for JS/TS Developers 🎃
Renumics Spotlight is a powerful tool for intuitively exploring unstructured datasets directly from dataframes. It’s designed to simplify data comprehension, allowing users to create interactive visualizations and leverage data enrichments like embeddings, predictions, and uncertainties to identify critical data clusters.
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[P] Quick fine-tuning image classification models from Bing image search
I've been working on our interactive dataset explorer for machine learning: renumics-spotlight. Recently, I set up an image classification example using it. I utilized Bing image search to create a fully functional example for custom-defined classes.
- Unstructured Data? No Problem. Spotlight Makes Exploration a Breeze!
- Show HN: Interactively explore unstructured datasets from your dataframe
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[P] Interactively explore unstructured datasets from your dataframe (OSS project)
That is why we developed Spotlight: https://github.com/Renumics/spotlight
What are some alternatives?
unpic-img - Multi-framework responsive image component
Low-Cost-Mocap - Low cost motion capture system for room scale tracking
cml - ♾️ CML - Continuous Machine Learning | CI/CD for ML
awesome-open-data-centric-ai - Curated list of open source tooling for data-centric AI on unstructured data.
inclusive-code-reviews-browser - A chrome web extension for improving code reviews on Github or Azure DevOps
BeatBridge - A Music Player with a Clustering based Recommendation Engine utilizing Spotify API
racing-data-converter - Converts data into popular motorsport analysis formats
sliceguard - A library for detecting problematic data segments in structured and unstructured data with few lines of code.
xtreme1 - Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.