rtic-gcn-pytorch VS Chinese-CLIP

Compare rtic-gcn-pytorch vs Chinese-CLIP and see what are their differences.

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rtic-gcn-pytorch Chinese-CLIP
2 1
20 3,655
- 7.3%
0.0 7.6
over 2 years ago 5 months ago
Python Python
MIT License MIT 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.

rtic-gcn-pytorch

Posts with mentions or reviews of rtic-gcn-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-25.

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.

What are some alternatives?

When comparing rtic-gcn-pytorch and Chinese-CLIP you can also consider the following projects:

clean-code-dotnet - :bathtub: Clean Code concepts and tools adapted for .NET

dream-creator - Quickly and easily create / train a custom DeepDream model

BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

clean-code-javascript - :bathtub: Clean Code concepts adapted for JavaScript

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.

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

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.