Visualizer for neural network, deep learning, and machine learning models
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Updated
Mar 20, 2023 - JavaScript
Visualizer for neural network, deep learning, and machine learning models
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A library for scientific machine learning and physics-informed learning
Payments for Ruby on Rails apps
NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO models
A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,simsiam, SwAV, BEiT,MAE 等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
Paddle.com API integration for Laravel with support for webhooks/events
Paddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE.
Integration of Paddle payment processor with WooCommerce 3. Original work was done by Paddle. Improvements are being done by ThemeBucket
A Paddle OCR sample for Android by Paddle-Lite from https://github.com/PaddlePaddle/PaddleOCR 对 PaddleOCR 的简单封装,使其能够快速上手使用而不需繁琐的配置。
An example Node.js app that integrates Keygen with Paddle for accepting payments.
LPIPS metric on PaddlePaddle. pip install paddle-lpips
可用于PaddlePaddle的RIFLE优化策略封装版,支持普通API与高阶API,并且只需向训练代码中插入一行代码即可使用RIFLE策略。
Machine vision apps
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