Apprentissage automatique · GitHub

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

Maintenu officiellement et pris en charge par PaddlePaddle, notamment la vision par ordinateur, le traitement du langage naturel, la parole, la recommandation, les séries temporelles, les grands modèles, etc.

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

Paddle.js is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could run in every browser with WebGL/WebGPU/WebAssembly supported. It could also run in Baidu Smartprogram and WX miniprogram.

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

An End-to-End Deep Learning Toolkit for Materials Science

• Property Prediction (PP) - Predict material properties from structure - Forward design or predict formation energy, band gap, elastic moduli etc.
• Structure Generation (SG) - Generate novel crystal structures - Inverse design or structure generation

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

Boîte à outils de visualisation du deep learning (outil de visualisation du deep learning de PaddlePaddle)

statistics, data mining and machine learning toolbox

Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust

[Book-2021] Practical MLOps O'Reilly Book

Ergonomic machine learning for everyone.

Data Augmentation For Object Detection

The toolbox for developing systematic trading strategies. It includes datasets and strategy ideas to assist in developing and backtesting trading algorithms.

[IROS24]A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images

Deep 3D Semantic Segmentation of common indoor objects on 3D point clouds .ply datas using RandLANet model with RANSAC based planar estimation post-processing techniques for prediction of vectorized floor plan of indoor scenes.

A python library for decision tree visualization and model interpretation.

Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.

• Gallery Viewer: Easily select and discard multiple images at once.
• Bulk Image Processing: Discard low-resolution images or create backups of datasets effortlessly.