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ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

cs131_notes

Class notes for CS 131.

elegant-scipy

1st Edition of Elegant SciPy (O'Reilly Publishers)

ensemblelearning

包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

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.

kkndme_tianya

天涯 kkndme 神贴聊房价

laijieheng.github.io

个人

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

machine-learning-in-action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

models

Models and examples built with TensorFlow

netron

Visualizer for neural network, deep learning and machine learning models

nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

python-scientific-computation

《Python科学计算》第二版张若愚老师的演示代码

references

sparsenilm

The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.

tfjs-models

Pretrained models for TensorFlow.js