Xianhui_Kong's repositories
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
Minimal examples of data structures and algorithms in Python
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
deep-head-pose
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Kernel-PLS-for-regression-and-monitoring
Python implementation of Kernel PLS algorithm (KPLS) and its application for regression and process monitoring using numerical examples.
machine-learning-systems-design
机器学习系统设计案例与测试 Machine Learning Systems Design Cases & Tests
Machine-Learning-with-Python-1
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Made-With-ML
Learn how to responsibly deliver value with ML.
model_bundle
A package to quick train of models
Monograph-20-Examples
Worked examples from Monograph 20 'Phase Behavior' - Appendices B and C
pyclustering
pyclustring is a Python, C++ data mining library.
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
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.
test_stats
stats
xk_unittest
test unittest