Top 3 Python contrastive-loss Projects
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Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
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ONE-PEACE
A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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S2-BNN
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
Project mention: A general representation modal across vision, audio, language modalities | news.ycombinator.com | 2023-05-25
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Index
What are some of the best open-source contrastive-loss projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | Chinese-CLIP | 3,655 |
2 | ONE-PEACE | 850 |
3 | S2-BNN | 61 |
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