A Unified Library for Parameter-Efficient and Modular Transfer Learning

React TypeScript app built using the clean architecture principles in a more functional way.

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

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

JavaScript Engine Switcher determines unified interface for access to the basic features of popular JavaScript engines. This library allows you to quickly and easily switch to using of another JavaScript engine.

Part of the Bot Builder Community Project. Repository for extensions for the Bot Builder .NET SDK, including middleware, dialogs, recognizers and more.

PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)

Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning

Recyclerview adapter library- Create adapter in just 3 lines of code

A Simple Implementation of Domain-Driven Design Technical Architecture Patterns in Go.

ARCHIVED. Please use https://docs.adapterhub.ml/huggingface_hub.html || 🔌 A central repository collecting pre-trained adapter modules

A small library containing two adapters which allow for easy fragment management with a NavigationView.

一个基于Android MVP的简单明了的指引性通用架构，目的是帮助更多的开发者去全面了解实践开发相关的各种技术,快速搭建属于自已的APP。这个项目涉及到如下技术的实际应用：1、MVP 2、网络请求（Novate基于rxjava,okhttp,retrofit封装架构）3、DbFlow(可保存文件入SD卡) 4、6.0权限申请 5、XRecyclerView 6、万能Adapter7、异常处理 8、日志打印 9、屏幕适配 10、代码混淆 11、多渠道打包 12、内存泄露检测 13、热修复 14、升级更新 15、极光推送 工程更新完善中……欢迎关注 @特别感谢ZJ.Y的Logo支持。

My interpretation of https://medium.com/@dpreussler/writing-better-adapters-1b09758407d2

Load configuration variables from multiple sources with flexible adapters, ensuring type safety with Zod.

Research code for "What to Pre-Train on? Efficient Intermediate Task Selection", EMNLP 2021

Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.

⛳️ Easy to use android databinding ready recyclerview adapter

Generative Pre-Training from Molecules

Hexagonal architecture through a Go-based project demonstration