model

Deezer source separation library including pretrained models.

Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)

A fast, convenient and nonintrusive conversion framework between JSON and model. Your model class doesn't need to extend any base class. You don't need to modify any model file.

A Flexible and Powerful Parameter Server for large-scale machine learning

Largest list of models for Core ML (for iOS 11+)

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

更好的小程序项目架构

Pre-trained Deep Learning models and demos (high quality and extremely fast)

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形…

Typegoose - Define Mongoose models using TypeScript classes.

DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)

Models of COVID-19 outbreak trajectories and hospital demand

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

A collection of computer vision pre-trained models.

Mac上iOS开发辅助工具，快速把json/xml数据转换生成对应模型类属性，省去麻烦手动创建，提高开发效率。Mac iOS development aid, quickly put the json/XML data transformation generates the corresponding model class attribute, save trouble created manually, improve the development efficiency.

An opinionated package to create slugs for Eloquent models

Fast conversion between JSON and model in Swift.

High level network definitions with pre-trained weights in TensorFlow