clip-italian VS PARSE-CLIP

Compare clip-italian vs PARSE-CLIP and see what are their differences.

clip-italian

CLIP (Contrastive Language–Image Pre-training) for Italian (by clip-italian)
clip Transformers transformers-models contrastive-loss huggingface Dataset
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PARSE-CLIP

A simple CLIP based project for combining images from multiple datasets. (by vijishmadhavan)
clip Fastai Python Dataset Image Datacleaning Data Dataexploration
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clip-italian PARSE-CLIP
1 4
172 3
1.2% -
2.0 0.0
12 months ago about 2 years ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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clip-italian

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

PARSE-CLIP

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

What are some alternatives?

When comparing clip-italian and PARSE-CLIP you can also consider the following projects:

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them

fastai - The fastai deep learning library

Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

TargetCLIP - [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

browser-ml-inference - Edge Inference in Browser with Transformer NLP model

clip-italian vs Basic-UI-for-GPT-J-6B-with-low-vram PARSE-CLIP vs fastpages clip-italian vs clip-retrieval PARSE-CLIP vs fastai clip-italian vs Transformer-MM-Explainability clip-italian vs TargetCLIP clip-italian vs browser-ml-inference