marksendong Goto Github PK
Name: Mark Sen Dong
Type: User
Location: Munich, Germany
Name: Mark Sen Dong
Type: User
Location: Munich, Germany
专门为刚开始刷题的同学准备的算法基地,没有最细只有更细,立志用动画将晦涩难懂的算法说的通俗易懂!
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
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Approaching (Almost) Any Machine Learning Problem
An experimental open-source attempt to make GPT-4 fully autonomous.
Automated feature engineering in Python with Featuretools
transfer the makeup style of a reference face image to a non-makeup face
Interactive Web Plotting for Python
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Python and JS scripts for plotting a circular relational plot
This repository provides an overview of code standardization as well as some examplary files in Matlab and Python.
A complete computer science study plan to become a software engineer.
python / numpy / pandas / patsy version of ComBat for removing batch effects.
Python script for doing batch correction with ComBat
Harmonization of multi-site imaging data with ComBat
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
How to Win a Data Science Competition: Learn from Top Kagglers
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
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[email protected] 版权所有,违权必究 Tan 2018.06
PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Tips for Advanced Feature Engineering
Sample Code for Gated Graph Neural Networks
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A set of useful tools for competitive data science.
Kaggle Classic competition
Supporting notebooks and data from hypertools paper
Fit interpretable models. Explain blackbox machine learning.
Accurate answers and instant citations for your documents.
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
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.