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maxwang09's Projects

interview_internal_reference icon interview_internal_reference

2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。

interviewkeyofpython icon interviewkeyofpython

Here is all about Python each related interview and interview experience (这里包含所有关于python各个相关岗位的面试真题以及面试经验),会即时更新以及收录最新的面试大全

leetcode-solutions icon leetcode-solutions

:octocat: (Weekly Update) Python / C++11 Solutions of All 1383 LeetCode Problems

library icon library

Collection of various guides, books and papers.

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

machine-learning-workflow-with-python icon machine-learning-workflow-with-python

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

meachinelearning-case icon meachinelearning-case

Some case of MeachineLearning and DataMining(一些机器学习与数据挖掘的实战案例)

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

python icon python

All Algorithms implemented in Python

python-interviews icon python-interviews

Python经典面试题(python面试的复习参考资料)(持续更新中...)

python_awesome_interview icon python_awesome_interview

这个是自己日常改写和积累的python资料:本次资料提供大量的python面试的准备资料,包括常用的python版本代码段、python网络编程的各个部分的实现方式、python版本的设计模式、以及最最会考的令人头痛的算法问题(python版本)

rt_deepfake1 icon rt_deepfake1

This repository contains the source code for the paper First Order Motion Model for Image Animation

rt_deppfake2 icon rt_deppfake2

The Project is real time application in opencv using first order model

smartparsepro icon smartparsepro

地址智能识别Pro /省市区街道四级联动(支持省市区街道/电话/邮编/姓名/身份证号识别)

uber_driver_prediction_challenge icon uber_driver_prediction_challenge

This notebook is dedicated to the solution of Uber take home challenge. This challenge consists of three main questions and several sub-questions

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