Stars
A modular active learning framework for Python
Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]
Visual-inertial-wheel fusion odometry, better performance in scenes with drastic changes in light
MATLAB Implementation of Visual Odometry using SOFT algorithm
An open source platform for visual-inertial navigation research.
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Some Python Implementations of the Kalman Filter
🚛 Awesome CAN bus tools, hardware and resources for Cyber Security Researchers, Reverse Engineers, and Automotive Electronics Enthusiasts.
Experiments with 3D graphics using Qt3D framework
keras implement of transformers for humans
In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represent the inferred \textbf{latent data distribution}, i.e. its t…
In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
Pytorch implementation of "Towards end-to-end lane detection: an instance segmentation approach"
Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
SimpleAICV:pytorch training examples.
本赛题任务是对西安的热门景点、美食、特产、民俗、工艺品等图片进行分类，即首先识别出图片中物品的类别（比如大雁塔、肉夹馍等），然后根据图片分类的规则，输出该图片中物品属于景点、美食、特产、民俗和工艺品中的哪一种。
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
Search for RegNet using PyTorch
A PyTorch implementation of EfficientNet
Codebase for Image Classification Research, written in PyTorch.