heartrain's starred repositories
stable-diffusion
A latent text-to-image diffusion model
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
kubernetes-handbook
Kubernetes中文指南/云原生应用架构实战手册
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
Surround360
Surround360 is Facebook's open source hardware and software for capturing stereoscopic 3D 360 video for VR. The repo contains hardware designs, as well as software for camera control and rendering.
semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
FacePose_pytorch
🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简,极快,高效是我们的宗旨)
Expression-Net
Deep 3DMM facial expression parameter extraction
wassdistance
Approximating Wasserstein distances with PyTorch
SinkhornAutoDiff
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
awesome-bim
A curated collection of useful BIM (Building Information Modeling) resources, libraries, software and frameworks for AEC research, application development, data analysis, and general computation.
PLabel
半自动标注系统是基于BS架构,由鹏城实验室自主研发,集成视频抽帧,目标检测、视频跟踪、ReID分类、人脸检测等算法,实现了对图像,视频的自动标注,并可以对自动算法的结果进行人工标注,最终得到标注结果,同时也可以对视频、图片、医疗(包括dicom文件及病理图像)相关的数据进行人工标注,标注结果支持COCO及VOC格式。支持多人协同标注。 半自动标注系统主要功能有:用户管理,数据集管理,自动标注,人工标注,ReID标注,车流统计,视频标注,医疗CT标注,超大图像标注,模型管理与重训,报表管理。数据标注过程一个非常重要的因素是数据安全,在标注使用中防止数据泄露,采用基于web标注工具是有效避免数据泄露的措施之一。 半自动标注系统以保证性能的情况下最小化人工标注代价为目标,不断提升自动标注效率,
Amend-Representation-Module
ARM - Official PyTorch Implementation
structured_LineLight_calib
Calibrate a structure light system of a camera and a structured light
EmotionNet
Convolutional Neural Network for Emotion Recognition
Auto-Modeling
Generate a 3D BIM Model from 2D CAD Drawings