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THE RANDOM CURSE <br> Train/Val split on CIFAR 10, PASCAL VOC and IMDB
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Yann Chene PRO
Yann-CV
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AI & ML interests
computer vision - anomaly detection - data orchestration - data efficient training & monitoring - smart sampling - smart labeling - smart balancing
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upvoted an article 3 days ago
THE RANDOM CURSE <br> Train/Val split on CIFAR 10, PASCAL VOC and IMDB published an article 3 days ago
THE RANDOM CURSE <br> Train/Val split on CIFAR 10, PASCAL VOC and IMDB upvoted an article 8 days ago
GOLDENER <br> Smart data split from embeddings and coreset selectionOrganizations
upvoted an article 3 days ago
published an article 3 days ago
Article
THE RANDOM CURSE <br> Train/Val split on CIFAR 10, PASCAL VOC and IMDB
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1
upvoted an article 8 days ago
Article
GOLDENER <br> Smart data split from embeddings and coreset selection
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posted an update 8 days ago
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🚀 Introducing Goldener: The Python Data Orchestrator for more efficient ML
Machine Learning workflows often rely on randomness: selecting/splitting data for training, batching it variably, and monitoring real-world performance.
Nowadays, foundation models give access to the semantics of data. Goldener leverages this semantic to make the entire ML lifecycle more efficient!
🔗 Check it out: https://github.com/goldener-data/goldener
🔨 Give it a try: pip install goldener
Machine Learning workflows often rely on randomness: selecting/splitting data for training, batching it variably, and monitoring real-world performance.
Nowadays, foundation models give access to the semantics of data. Goldener leverages this semantic to make the entire ML lifecycle more efficient!
🔗 Check it out: https://github.com/goldener-data/goldener
🔨 Give it a try: pip install goldener
published an article 8 days ago
Article
GOLDENER <br> Smart data split from embeddings and coreset selection
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1
pyarrow.lib.ArrowInvalid: Mismatching child array lengths when loading the train dataset
#1 opened 6 months ago
by Yann-CV