hierarchical-domain-adaptation VS pycave

Compare hierarchical-domain-adaptation vs pycave and see what are their differences.

hierarchical-domain-adaptation

Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper. (by alexandra-chron)

pycave

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch. (by borchero)
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hierarchical-domain-adaptation pycave
1 1
32 114
- -
3.0 0.0
8 months ago 11 days ago
Python Python
- MIT License
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hierarchical-domain-adaptation

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

pycave

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

What are some alternatives?

When comparing hierarchical-domain-adaptation and pycave you can also consider the following projects:

pytorch-adapt - Domain adaptation made easy. Fully featured, modular, and customizable.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

mta - Multi-Touch Attribution

LLM-Adapters - Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

jina - ☁️ Build multimodal AI applications with cloud-native stack

traingenerator - 🧙 A web app to generate template code for machine learning

lightning-flash - Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

pytorch-forecasting - Time series forecasting with PyTorch

quaterion - Blazing fast framework for fine-tuning similarity learning models