bonito
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT. (by BatsResearch)
CEPC
A domain adaptation model (by p-karisani)
bonito | CEPC | |
---|---|---|
1 | 2 | |
757 | 7 | |
3.4% | - | |
5.6 | 4.1 | |
27 days ago | about 3 years ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" 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.
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.
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.
CEPC
Posts with mentions or reviews of CEPC.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing bonito and CEPC you can also consider the following projects:
GroupViT - Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
pytorch-adapt - Domain adaptation made easy. Fully featured, modular, and customizable.
netscanner - Terminal Network scanner & diagnostic tool with modern TUI
Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
curator - Synthetic data curation for post-training and structured data extraction
illness-dataset - A dataset for evaluating text classification, domain adaptation, and active learning models