Chinese-CLIP VS PatrickStar

Compare Chinese-CLIP vs PatrickStar and see what are their differences.

PatrickStar

PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone. (by Tencent)
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Chinese-CLIP PatrickStar
1 1
3,655 737
7.3% 0.0%
7.6 0.0
5 months ago about 1 year ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Chinese-CLIP

Posts with mentions or reviews of Chinese-CLIP. We have used some of these posts to build our list of alternatives and similar projects.

PatrickStar

Posts with mentions or reviews of PatrickStar. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Chinese-CLIP and PatrickStar you can also consider the following projects:

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