spotlight
xtreme1
spotlight | xtreme1 | |
---|---|---|
24 | 2 | |
1,014 | 729 | |
- | 1.9% | |
9.8 | 9.1 | |
about 2 months ago | 13 days ago | |
TypeScript | TypeScript | |
MIT License | Apache License 2.0 |
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.
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
xtreme1
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Open-source Image & LiDAR data annotation platform [Project]
wget https://github.com/basicai/xtreme1/releases/download/v0.5/xtreme1-v0.5.zip unzip -d xtreme1-v0.5 xtreme1-v0.5.zip
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Data labeling & Data curation open-source project [Project][Discussion]
Project page: https://github.com/basicai/xtreme1
What are some alternatives?
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awesome-open-data-centric-ai - Curated list of open source tooling for data-centric AI on unstructured data.
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obsidian-ava - Quickly format your notes with ChatGPT in Obsidian
BeatBridge - A Music Player with a Clustering based Recommendation Engine utilizing Spotify API
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sliceguard - A library for detecting problematic data segments in structured and unstructured data with few lines of code.