MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO、GRPO。

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deplo…

one script for xls-r/xlsr/whisper fine-tuning

Image Signal Processor

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus

这是一个retinaface-pytorch的源码，可以用于训练自己的模型。

pytorch AutoSlim tools，支持三行代码对pytorch模型进行剪枝压缩

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

YOLOv5 in PyTorch > ONNX > RKNN

基于Pytorch的OCR工具库，支持常用的文字检测和识别算法

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Instant neural graphics primitives: lightning fast NeRF and more

An Open Source Machine Learning Framework for Everyone

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

golang web 通用后台框架,基于beego + layui + mysql开发.

Refs.cn 原型设计元件库，基于Axure RP 11/10/9，支持 Android、Apple、Windows、微信，移动、桌面平台的应用和网站原型设计。

表白网站

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Noah Research

A tool made in python to convert normal image into special images which change their perspective as the user moves using face detection. It creates layers of an image using depth map generation and…

My graduation project, a basic version of the TDT task.

本项目是针对医疗数据，进行命名实体识别。项目中有600份标注好的电子病历文本，共需识别含解剖部位、独立症状、症状描述、手术和药物五类实体。该领域的命名实体识别问题是自然语言处理中经典的序列标注问题。

和我一步步部署 kubernetes 集群