A flexible universal ASIO driver that uses the PortAudio sound I/O library. Supports WASAPI (shared and exclusive), KS, DirectSound and MME.

RussellGroupCV is a resume template made by following the guidelines followed by the Russell Group in the UK.

Dynamic Scenes Dataset for Visual Loop Closure Detection

Ground Truth of KITTI dataset (odometry benchmark) for loop closure detection or visual place recognition

A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)

Project page of the paper "Distinctive 3D local deep descriptors" accepted in IEEE International Conference on Pattern Recognition 2020.

Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more

[ICCV 2021 - Oral] Bootstrap Your Own Correspondences

Simple MPL-2.0-licensed C++ geometry processing library.

Nameof operator for modern C++, simply obtain the name of a variable, type, function, macro, and enum

[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory

Uniform Manifold Approximation and Projection

NumPy aware dynamic Python compiler using LLVM

Memray is a memory profiler for Python

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

This is the official repo of the project gnssFGO.

DSOL: Direct Sparse Odometry Lite

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The proble…

Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

Best Practices on Recommendation Systems

A game theoretic approach to explain the output of any machine learning model.

Automatic generator of Groebner basis solvers.

rosidl support for Python

RMW for ROS 2 using Zenoh as the middleware

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of…

What features does your CPU and OS support?

Tensorflow implementation of Normal Distributions Transform

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

🌱 a curated list of tools to help you with your research/life; I built a front end around this repo, please use the link below [This repo is Not Maintained Anymore]