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PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
republish livox raw message to standard pointcloud2
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
🪙 COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry (ICRA 2024)
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🌓 Moon is a minimal, one column jekyll theme.
A playbook for systematically maximizing the performance of deep learning models.
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
basic algorithms of reinforcement learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
My blogs and code for machine learning. http://cnblogs.com/pinard