Jupyter Notebook contrastive-loss

Open-source Jupyter Notebook projects categorized as contrastive-loss
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Topics: Pytorch Deep Learning Machine Learning Dataset Transformers
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Top 3 Jupyter Notebook contrastive-loss Projects

  • open_clip

    An open source implementation of CLIP.

    • Project mention: A History of CLIP Model Training Data Advances | dev.to | 2024-03-13

    While OpenAI’s CLIP model has garnered a lot of attention, it is far from the only game in town—and far from the best! On the OpenCLIP leaderboard, for instance, the largest and most capable CLIP model from OpenAI ranks just 41st(!) in its average zero-shot accuracy across 38 datasets.

  • SimCLR

    PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations (by sthalles)

  • 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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  • clip-italian

    CLIP (Contrastive Language–Image Pre-training) for Italian

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).

Jupyter Notebook contrastive-loss related posts

Index

What are some of the best open-source contrastive-loss projects in Jupyter Notebook? This list will help you:

Project Stars
1 open_clip 8,452
2 SimCLR 2,117
3 clip-italian 171

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