dazayu's Stars
leduynguyen/My_AUTOSAR_Project
An integration an example AUTOSAR project which every part in AUTOSAR (OS, RTE, BSW, MCAL) are collected from different open source.
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
3masterplus/book
Book PDF
mattermost/mattermost
Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..
kangjianwei/Data-Structure
《数据结构》-严蔚敏.吴伟民-教材源码与习题解析
hmartiro/kalman-cpp
Basic Kalman filter implementation in C++ using Eigen
electronicarts/CnC_Remastered_Collection
phodal/articles
Article Publish in Wechat & Toutiao
sunsiy10/BspTreeBooleanOperation
Binary Space Partition Tree Based 2D Polygon Boolean Operation
hattonl/cpp-project-structure
C++工程目录结构规范示例
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
nitarshan/bayes-by-backprop
PyTorch implementation of "Weight Uncertainty in Neural Networks"
paraschopra/bayesian-neural-network-mnist
Bayesian neural network using Pyro and PyTorch on MNIST dataset
rakshitsareen/Bayesian-Neural-Networks
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
kyle-dorman/bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
fehiepsi/rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
azl397985856/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
yizt/cv-papers
计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与!!! 持续更新中... ...
aleju/imgaug
Image augmentation for machine learning experiments.
linyiqun/DataMiningAlgorithm
数据挖掘18大算法实现以及其他相关经典DM算法
experiencor/keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
ayooshkathuria/pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm