li91yang's starred repositories
DA_Detection_Material
A Collection of Domain Adaptation for Object Detection Material
awesome-domain-adaptation-object-detection
A collection of papers about domain adaptation object detection. Welcome to PR the works (papers, repositories) that are missed by the repo.
dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Machinery-Industry-Press
本项目预计分享数千册电子书，98%以上为机械工业出版社原版电子书，其余为其它出版社出版的一些经典外文读物的原版译本电子书，每本书都配有当当网一键搜索，可查看书价格和简介。目前共计更新2542册图书
jetsonUtilities
Get information about the NVIDIA Jetson OS environment. Lists L4T and JetPack versions, along with major libraries.
learnxinyminutes-docs
Code documentation written as code! How novel and totally my idea!
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Awesome-Crowd-Counting
Awesome Crowd Counting
Multitarget-tracker
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
benchmark_results
Visual Tracking Paper List
awesome-lane-detection
A paper list of lane detection.
InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
DeepLearning
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
Lee-SLAM-source
SLAM 开发学习资源与经验分享
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
Codes-for-Lane-Detection
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
PythonRobotics
Python sample codes for robotics algorithms.
YOLOv3-model-pruning
在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）
DeepLearning-500-questions
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