adapters

#自然语言处理#A Unified Library for Parameter-Efficient and Modular Transfer Learning

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

翻译 - 使用干净的架构原则构建的 React + TypeScript 应用程序。

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

#自然语言处理#Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

翻译 - Trankit是用于多语言自然语言处理的基于轻型变压器的Python工具包

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 JavaScr...

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)

#自然语言处理#Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning

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

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

#自然语言处理#ARCHIVED. Please use https://docs.adapterhub.ml/huggingface_hub.html || 🔌 A central repository collecting pre-trained adapter modules

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

#安卓#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...

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

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

#自然语言处理#Research code for "What to Pre-Train on? Efficient Intermediate Task Selection", EMNLP 2021

#自然语言处理#Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.

#安卓#⛳️ Easy to use android databinding ready recyclerview adapter

Generative Pre-Training from Molecules

Hexagonal architecture through a Go-based project demonstration