Xianhui_Kong's repositories

repo

collection of machine learning projects

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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

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algorithms

Minimal examples of data structures and algorithms in Python

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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

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deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

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deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

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ds-cheatsheets

List of Data Science Cheatsheets to rule the world

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interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

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leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

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machine-learning-systems-design

机器学习系统设计案例与测试 Machine Learning Systems Design Cases & Tests

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Machine-Learning-with-Python-1

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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Made-With-ML

Learn how to responsibly deliver value with ML.

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model_bundle

A package to quick train of models

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Monograph-20-Examples

Worked examples from Monograph 20 'Phase Behavior' - Appendices B and C

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pyclustering

pyclustring is a Python, C++ data mining library.

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pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

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sklearn_fastapi

Building an API with the FastAPI framework to serve a scikit-learn model.

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tensorflow2-generative-models

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

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xk_unittest

test unittest

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