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采用Hamilton四元数的低成本IMU误差方程详细推导
calibration for Imu and show gesture
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
udacity MPC
IPython Parallel: Interactive Parallel Computing in Python
JSON for Modern C++
Some Python Implementations of the Kalman Filter from https://blog.csdn.net/weixin_43152152/article/details/115753921
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.
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
knowledge graph, Question answering system,include bilstm-crf, entity normalization, CasRel relation extraction, SlotGate-SLU NLU models , ect..
from https://blog.csdn.net/yangchengtest/article/details/80732237
Object classification with CIFAR-10 using transfer learning
本项目用于展示三元组抽取后形成的知识图谱,包括几本小说的实体关系,以及README.md,介绍这方面的一篇文章。
nlp in action
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
LeGO-LOAM代码注释与学习
传感器数据融合--激光雷达的数据生成以及点云的生成
ndt配准 from blog https://www.freesion.com/article/4563869108/
lean slam step by step B站杜永全 https://www.bilibili.com/video/BV1J94y1d794?t=73.3
machine learning
周志华《机器学习》手推笔记
徐亦达机器学习B站含粒子滤波 https://www.bilibili.com/video/BV1xW411N7f1/?spm_id_from=333.337.search-card.all.click&vd_source=bf1d90c2e3c17b66842fd9f355169565 My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 概率模型和深度学习的讲义(2000+页)和视频链接
通过阅读网上的资料代码,进行自我加工,努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯
My blogs and code for machine learning. http://cnblogs.com/pinard
This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.
Machine Learning
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
nd009-cn-advanced-capstone,针对Udacity CN MLND 毕业项目
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.