transformers

#大语言模型#微软生成式AI课程，12课时

#计算机科学#59 篇深度学习论文的实现，并带有详细注释。包括 transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 强化学习 (ppo, dqn), capsnet, distillation, ... 🧠

#自然语言处理#Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

#自然语言处理#Haystack 是一个开源 NLP 框架，利用预训练的 Transformer 模型。 帮组开发者能快速实现一个生产级的语义搜索、问答、摘要和文档排名的NLP应用

#计算机科学#CVPR 2025 论文和开源项目合集

#大语言模型#🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

#自然语言处理#DocsGPT 是一个用于“文档”的基于GPT聊天助手，能快速检索项目文档，帮助开发人员轻松地提出与项目相关的问题，并获得准确的答案

#大语言模型#Machine Learning Engineering Open Book

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

#大语言模型#RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN a...

Ongoing research training transformer models at scale

#搜索#PaddleNLP 2.0是飞桨生态的文本领域核心库，具备易用的文本领域API，多场景的应用示例、和高性能分布式训练三大特点，旨在提升开发者文本领域的开发效率，并提供基于飞桨2.0核心框架的NLP任务最佳实践。

#搜索#All-in-one 一站式 embedding 数据库，语义搜索、LLM 编排和语言模型workflows

This repository contains demos I made with the Transformers library by HuggingFace.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

#计算机科学#A PyTorch-based Speech Toolkit

#自然语言处理#💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

#安卓#Open source real-time translation app for Android that runs locally

#自然语言处理#OpenVINO™ is an open source toolkit for optimizing and deploying AI inference