tonny's repositories
raptor
Implementation of the Route Based Public Transit Algorithm (Raptor)
gorpc
go gprc example
playgrounds
Provide docker environment and examples for PyFlink
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
alasql
AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel.
pyflink_learn
基于 PyFlink 的学习文档，通过一个个小实践，便于大家快速入手 PyFlink
bigdata-docker-compose
Hadoop, Hive, Spark, Zeppelin and Livy: all in one Docker-compose file.
transit-planner
Efficient transit network route planner based on transfer patterns.
kafka-spark-flink-container
Example container setup with Kafka, Flink and Spark, for easy development and testing.
QDServing
ml模型分布式服务部署：grpc，flask；docker
leedeeprl-notes
李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/
hello-algorithm
🌍「算法面试+算法知识」这是一套针对小白的完整算法训练 | 还包括：1、千本开源电子书 2、阿里、字节、滴滴 等面经汇总 3、百张思维导图 （来个Star吧~）
docker-spark-bde2020-zeppelin
Zeppelin docker
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
ABtest
ABtest实操
served
A C++11 RESTful web server library
tf2_deepfm
tensorflow2.0 实现的 DeepFM，使用 Criteo 子数据集加以实践。
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
crow
Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)
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
LeetCode-Python
LeetCode solutions in Python2. LeetCode题解 in Python2。
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources