GroupViT VS bonito

Compare GroupViT vs bonito and see what are their differences.

GroupViT

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022. (by NVlabs)

bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT. (by BatsResearch)
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GroupViT bonito
1 1
735 733
0.0% 1.9%
0.0 6.8
over 2 years ago 5 months ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" 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.

GroupViT

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

bonito

Posts with mentions or reviews of bonito. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.

What are some alternatives?

When comparing GroupViT and bonito you can also consider the following projects:

CapDec - CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)

CEPC - A domain adaptation model

EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

netscanner - Terminal Network scanner & diagnostic tool with modern TUI

x-clip - A concise but complete implementation of CLIP with various experimental improvements from recent papers

curator - Synthetic Data curation for post-training and structured data extraction

Text-to-Image-Synthesis - Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

kamal - Deploy web apps anywhere.

nncf - Neural Network Compression Framework for enhanced OpenVINO™ inference

cycle-diffusion - [ICCV 2023] A latent space for stochastic diffusion models

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