[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

A curated list of awesome neural radiance fields papers

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

RepVGG: Making VGG-style ConvNets Great Again

The Official Repository for "Generalized OOD Detection: A Survey"

12 weeks, 24 lessons, classic Machine Learning for all

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

Active learning for deep object detection using YOLO

A collection of pre-trained, state-of-the-art models in the ONNX format

Deep Learning Examples

Pre-trained Deep Learning models and samples (high quality and extremely fast)

An automatic calibration algorithm for livox LiDAR

Googletest - Google Testing and Mocking Framework

LCOV

OpenCppCoverage is an open source code coverage tool for C++ under Windows.

Point Cloud Library (PCL)

Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

Demo use of Livox SDK in ROS

Shed Skin is a Python to C++ compiler. Read the introduction below to learn about the restrictions.

A technical report on convolution arithmetic in the context of deep learning