Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

housing-price-in-pasadena

Using regularized regression and neural net to predict housing price in pasadena

hudi

Upserts, Deletes And Incremental Processing on Big Data.

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

leetcode

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

libfm_in_keras

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

liianghuang.github.io

My personal github page

machine-learning

:earth_americas: machine learning algorithms tutorials (mainly in Python3)

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

music_page

Webpage for music

nlp-models-tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems.

pgmpy

Python Library for Probabilistic Graphical Models

pytext

A natural language modeling framework based on PyTorch

python-numerics

Numerical machines in Python

python_tricks

Python tricks that are hard to find in stack overflow

shap

A unified approach to explain the output of any machine learning model.

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