big-sleep-examples VS Chinese-CLIP

Compare big-sleep-examples vs Chinese-CLIP and see what are their differences.

big-sleep-examples

Examples code and images for programmatically generating images using Big Sleep (CLIP + BigGAN). (by thehappydinoa)
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big-sleep-examples Chinese-CLIP
1 1
1 3,590
- 11.3%
1.8 7.6
about 2 years ago 5 months ago
Python Python
MIT License MIT License
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big-sleep-examples

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

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 big-sleep-examples and Chinese-CLIP you can also consider the following projects:

MaixPy-v1_scripts - micropython scripts for MaixPy

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

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.

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.

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

zeta - Build high-performance AI models with modular building blocks