UPop
Coin-CLIP
UPop | Coin-CLIP | |
---|---|---|
1 | 2 | |
82 | 9 | |
- | - | |
8.4 | 7.9 | |
6 months ago | 5 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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UPop
Coin-CLIP
-
New Multimodal Model Coin-CLIP for Coin Identification/Recognition
To further simplify the use of the Coin-CLIP model, I created https://github.com/breezedeus/Coin-CLIP , which provides tools for quickly building a coin image retrieval engine.
What are some alternatives?
Torch-Pruning - [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
image-captioning - Image captioning using python and BLIP
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
OFA - Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework