PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
-
Updated
Jul 11, 2024 - Python
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
ONNX Model Exporter for PaddlePaddle
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Documentations for PaddlePaddle
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
本项目使用了EcapaTdnn、ResNetSE、ERes2Net、CAM++等多种先进的声纹识别模型,同时本项目也支持了MelSpectrogram、Spectrogram、MFCC、Fbank等多种数据预处理方法
A multi-backend graph learning library.
Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)
基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
State-of-the-art 2D and 3D Face Analysis Project
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
FSL-Mate: A collection of resources for few-shot learning (FSL).
Baidu's open-source Sentiment Analysis System.
基于PaddlePaddle实现的语音识别,中文语音识别。项目完善,识别效果好。支持Windows,Linux下训练和预测,支持Nvidia Jetson开发板预测。
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
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)
🏷️ A stubs package as described in PEP 561 for PaddlePaddle.
🏀 BasketballDetector training utilities
Add a description, image, and links to the paddlepaddle topic page so that developers can more easily learn about it.
To associate your repository with the paddlepaddle topic, visit your repo's landing page and select "manage topics."