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Tensors and Dynamic neural networks in Python with strong GPU acceleration
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Python sample codes for robotics algorithms.
The official GitHub page for the survey paper "A Survey of Large Language Models".
Python package for the evaluation of odometry and SLAM
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
pySLAM contains a Visual Odometry (VO) pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local features based on Deep Learning.
We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/ab…
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo
Point-SLAM: Dense Neural Point Cloud-based SLAM
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
A LiDAR visualization tool for all your datasets
Benchmark for lidar and visual place recognition
Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具，可以记录模型训练过程当中的超参数、Loss、Accuracy、Precision、F1值等，并以曲线图的形式进行展现对比，轻松三步即可实现。
IR-MCL: Implicit Representation-Based Online Global Localization https://arxiv.org/abs/2210.03113
Automotive Ethernet SOME/IP-SD Scapy protocol
Some useful and convenient Python tool scripts for ROS-related needs.
[IROS 2024] Representing 3D sparse map points and lines for camera relocalization