Chinese-CLIP Alternatives

Similar projects and alternatives to Chinese-CLIP

• dream-creator

  1 61 10.0 Python Chinese-CLIP VS dream-creator

  Quickly and easily create / train a custom DeepDream model

• deepsparse

  21 2,873 9.5 Python Chinese-CLIP VS deepsparse

  Sparsity-aware deep learning inference runtime for CPUs

  

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• Queryable

  5 2,419 8.1 Swift Chinese-CLIP VS Queryable

  Run OpenAI's CLIP model on iOS to search photos.

• FARM

  3 1,723 0.0 Python Chinese-CLIP VS FARM

  :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

  

• PyTorch_CIFAR10

  1 599 0.0 Python Chinese-CLIP VS PyTorch_CIFAR10

  Pretrained TorchVision models on CIFAR10 dataset (with weights)

• autodistill-metaclip

  1 16 6.4 Python Chinese-CLIP VS autodistill-metaclip

  MetaCLIP module for use with Autodistill.

  

• transformers

  175 125,021 10.0 Python Chinese-CLIP VS transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• PINTO_model_zoo

  5 3,288 9.8 Python Chinese-CLIP VS 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

  27 8,391 8.4 Jupyter Notebook Chinese-CLIP VS open_clip

  An open source implementation of CLIP.

  

• PatrickStar

  1 737 0.0 Python Chinese-CLIP VS PatrickStar

  PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.