Chinese-CLIP
PatrickStar
Chinese-CLIP | PatrickStar | |
---|---|---|
1 | 1 | |
3,655 | 737 | |
7.6% | 0.0% | |
7.6 | 0.0 | |
5 months ago | about 1 year ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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Chinese-CLIP
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Meet ‘Chinese CLIP,’ An Implementation of CLIP Pretrained on Large-Scale Chinese Datasets with Contrastive Learning
Chinese-CLIP is open-sourced on https://github.com/OFA-Sys/Chinese-CLIP , we are working on applying it on more downstreaming tasks requiring cross-modal alignment!
PatrickStar
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[R] Patrickstar: A Pytorch Based Training Framework That Can Train Faster And Larger PTMs
As large PTM are becoming a must in NLP, we believe PatrickStar would be a help to researchers and engineers. It would be so nice if you could checkout our github repo and give us some feedback!
What are some alternatives?
dream-creator - Quickly and easily create / train a custom DeepDream model
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
Queryable - Run OpenAI's CLIP model on iOS to search photos.
FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
PyTorch_CIFAR10 - Pretrained TorchVision models on CIFAR10 dataset (with weights)
autodistill-metaclip - MetaCLIP module for use with Autodistill.
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
open_clip - An open source implementation of CLIP.
zeta - Build high-performance AI models with modular building blocks