DL😾
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Minimal PyTorch implementation of YOLOv3
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.
[ICRA 2021] SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation
Semantic SLAM using ROS, ORB SLAM, PSPNet101
[IROS'22] MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving
[ICRA'22] Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement
Open-source simulator for autonomous driving research.
Repository to store different driving benchmarks that run on the CARLA simulator
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
deep learning for image processing including classification and object-detection etc.
Code accompanying the NeurIPS 2022 paper: "NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos".
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
这个项目介绍了简单的CUDA入门，涉及到CUDA执行模型、线程层次、CUDA内存模型、核函数的编写方式以及PyTorch使用CUDA扩展的两种方式。通过该项目可以基本入门基于PyTorch的CUDA扩展的开发方式。
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Official repository for our the paper: Uncertainty-aware LiDAR Panoptic Segmentation
Make SOTA AV perception algorithms easy to learn and use