AI Agent Skills

📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO' 24]

Scalable and user friendly neural :brain: forecasting algorithms.

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有te…

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

✨Fast Coreference Resolution in spaCy with Neural Networks

A simple interface for editing natural photos with generative neural networks.

Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.

A Comprehensive Framework for Visual SLAM Systems and Datasets

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

Graph Neural Networks in Julia

A LiDAR SLAM system that just works

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

[IROS 2025] A Robust Tightly-Coupled RGBD-Inertial and Legged Odometry Fusion SLAM for Dynamic Legged Robotics