Mars Lim's repositories
SomeRadarDetectProgram
用python写的一些简单的雷达处理程序,包括CFAR,匹配滤波等,线性调频体制。
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
Algorithm_Interview_Notes-Chinese
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
Algorithms
The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.
AndroidMore
Android 工程师成长之路:手写JAVA算法,数据结构 和 Android源码笔记等等
ASR_Theory
语音识别理论,论文和PPT
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
awesome-few-shot-learning
A curated list of resources about few-shot and one-shot learning
CodingInterview
Leetcode解题、剑指offer第二版💪💪💪⛷😀
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
CS-Notes
:books: 技术面试必备基础知识
DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
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
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。
interview_python
关于Python的面试题
JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
labview2018-tutorial
this repository tells how to use LabVIEW based on labview2018.
Leetcode
Leetcode题解,注释齐全,题解简单易懂
LeetCodeAnimation
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)
Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
MathModel
研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT
Stanford-CS-229-CN
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
the-craft-of-selfteaching
One has no future if one couldn't teach themself.