Library/train-CLIP
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Zasder3/train-CLIP

train-CLIP

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

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Zasder3

Zasder3

Zasder3 • individual

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86

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Created

May 17, 2021

Project creation date

README Summary

This repository provides a PyTorch Lightning implementation for training OpenAI's CLIP (Contrastive Language-Image Pre-training) model from scratch. It offers a clean, modular approach to reproduce CLIP's multimodal learning capabilities using PyTorch Lightning's framework. The solution enables training vision-language models that can understand relationships between images and text through contrastive learning.

AI Dev Skills

Unmapped

Contrastive LearningVision-Language ModelsPyTorch LightningMulti-modal Representation LearningSelf-supervised LearningTransformer ArchitectureComputer VisionNatural Language Processing

Tags

Contrastive LearningVision-Language ModelsPyTorch LightningMulti-modal Representation LearningSelf-supervised LearningTransformer ArchitectureComputer VisionNatural Language ProcessingSelf-Supervised LearningImage-Text RetrievalMulti-modal Deep LearningImageVisual Question AnsweringTextContent-based Image SearchFoundation ModelsMultimodal ReasoningSelf-hostedCloud TrainingCross-modal SearchPyTorch Lightning TrainingZero-shot Image ClassificationMultimodalPython

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Recent Activity

Updated 4 years ago

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research
Quality
medium
Maturity
research

Categories

RAG & RetrievalPrimaryEvals & BenchmarkingNLP & TextMultimodal AISearch & KnowledgeOther AI / MLFoundation ModelsModel TrainingRoboticsComputer Vision

PM Skills

Scale & Reliability

Languages

Python100.0%

Timeline

Project created
May 17, 2021
Forked
Mar 13, 2026
Your last push
4 years ago
Upstream last push
4 years ago
Tracked since
Apr 15, 2022

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