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mangoliu.github.io

MangoLiu's Bolg

mask_rcnn

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

ml-road

Machine Learning Resources, Practice and Research

ml-study

自己整理了一些ML入门的知识，以及ML项目中的一些经验总结分享

multi-task-learning-tf

Tensorflow implementation of multi-task learning for language modeling and text classification.

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

notes

学习心得

notes-linear-algebra

线性代数笔记

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pyspark-and-mllib

Getting start with PySpark and MLlib

python

test

python-offer

《剑指Offer》面试题Python实现

recommend-system-tf2.0

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

recsys

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

rsdeepmodel

【最新版】深度学习模型（推荐场景CTR预估为背景）, 使用estimator进行封装, 包括dnn、deepfm、din、dinfm、autoint等模型

scikit-learn

scikit-learn: machine learning in Python

statistical-learning-method

李航《统计学习方法》书的每一章节核心提炼以及Python代码实现，可以直接运行在Anaconda的Jupyter里面，从即日起抽时间不断更新. This is a set of tutorials and implementations about Li Hang's Book "Statistical-learning-method". You can download the ipynb type files and run direactly on the Anaconda Python environment like Jupyter-lab or Jupyter-notebook. This tutorials will be continuously updated.)

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-eager-examples

Simple Examples using TensorFlow Eager Execution

tensorflow-fractal-playground

Generate beautiful fractals with TensorFlow! :art:

tensorflow-time-series-examples

Time Series Prediction with tf.contrib.timeseries

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tensorflow_workrecord

记录关于tensorflow使用过程中的知识点

tensorflowonspark

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.