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An Open Source Machine Learning Framework for Everyone
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
A playbook for systematically maximizing the performance of deep learning models.
Latex code for making neural networks diagrams
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Instant neural graphics primitives: lightning fast NeRF and more
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
A collaboration friendly studio for NeRFs
The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.
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)
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
A curated list of awesome neural radiance fields papers
All-in-One Development Tool based on PaddlePaddle
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
SECOND for KITTI/NuScenes object detection
FSL-Mate: A collection of resources for few-shot learning (FSL).
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
PaddleSlim is an open-source library for deep model compression and architecture search.
World's first general purpose 3D object detection codebse.
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.