Stars
Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
Implementation of the DE-EN transformer from Attention is all You Need
A PyTorch implementation of Transformer in "Attention is All You Need"
A PyTorch implementation of the Transformer model in "Attention is All You Need".
End-to-End Object Detection with Transformers
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
[IEEE JBHI'21] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!
repository for Publicly Available Clinical BERT Embeddings
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Fully featured implementation of Routing Transformer
[ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Codebase for reproducible benchmarking experiments in MedMNIST v2
Implementation of Large Margin aware Focal (LMF) loss
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…
算法岗笔试面试大全，励志做算法届的《五年高考，三年模拟》！