Xingxing Huang (XingxingHuang)

XingxingHuang

Geek Repo

Company:Cruise

Location:San Francisco, CA

Home Page:https://www.linkedin.com/in/xingxinghuang/

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Xingxing Huang's repositories

DeepLearningTechniques_2D

a collection of deep learning techniques with my understandings

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Leetcode-for-Fun

Daily coding practice about data structure and algorithms. Leetcode, Lintcode, codeforces

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DeepLearning

Deep Learning mini Projects. You can easily play around with only minor knowlede.

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Machine_Learning_Practices

machine learning practices

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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deeplearning.ai

The notes of Adrew Ng's coursera course: deeplearning.ai. Glad to answer any related questions, just email me.

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self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

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presto

Open source pulsar search and analysis toolkit

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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friendly-fortnight

:wolf: K-Means Clustering using Python from Scratch :mushroom:

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Demos

useful demos to help you from 0 to 1. These materials including practices about python, data, sql, database.

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algorithm-exercise

Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/

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astropy

Repository for the Astropy core package

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Code_Practice

practice coding. Basic sort algorithms and other categories, my answer for website "nowcoder"

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LeetCode

My C++ Code for LeetCode OJ

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readme-template

README.md template for your open-source project

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data-book-note

provide the notes for books I am reading or have read. These books are mainly in data science or computer science

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Practice-an-algorithm-question-every-day

书籍:《每天练习一道算法题》

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datasci_course_materials

Public repository for course materials for the Data Science at Scale Specialization at Coursera

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daily_algorithm

每日一题的github仓库

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the-coding-interview

Programming exercises, code katas and puzzles for your job interview training or just for fun

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Qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

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APLUS

A modified version of APSIS, but more powerful and easy to use for HST image analysis. Please use as your own risk. Many API has not been test completely.

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LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

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imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

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sklearn-pandas

Pandas integration with sklearn

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stackoverflow-java-top-qa

stackoverflow上Java相关回答整理翻译

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