pytorch-adapt
Domain adaptation made easy. Fully featured, modular, and customizable. (by KevinMusgrave)
CEPC
A domain adaptation model (by p-karisani)
Our great sponsors
| pytorch-adapt | CEPC | |
|---|---|---|
| 3 | 2 | |
| 323 | 6 | |
| - | - | |
| 0.0 | 4.1 | |
| about 1 year ago | about 2 years ago | |
| Python | Python | |
| MIT 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.
pytorch-adapt
Posts with mentions or reviews of pytorch-adapt.
We have used some of these posts to build our list of alternatives
and similar projects.
- PyTorch-adapt re-purposes existing ML models to work in new domains
-
[P] A domain adaptation library that I wrote: PyTorch Adapt
For more details, you might be interested in the jupyter notebooks here: https://github.com/KevinMusgrave/pytorch-adapt/blob/main/examples/README.md
I wrote [a library](https://github.com/KevinMusgrave/pytorch-adapt) for domain adaptation, which is a type of machine learning that repurposes existing models to work in new domains. A toy example is adapting a model trained on MNIST for use on colored digits:
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 pytorch-adapt and CEPC you can also consider the following projects:
hierarchical-domain-adaptation - Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.
Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the ð¥PyTorch ecosystem. â Star to support our work!
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]