lualu2,lululuLu,github

algo

数据结构和算法必知必会的50个代码实现

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome

😎 Awesome lists about all kinds of interesting topics

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

deep-learning-papers-reading-roadmap

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

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

feature-selector

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

hellogithub

:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目

imgclsmob

Sandbox for training convolutional networks for computer vision

lazynlp

Library to scrape and clean web pages to create massive datasets.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

newsrecommendsystem

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)