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2014

2014要做的一些事的记录

2019_personal_plan

Inspired by 2014 year plan in my repo. The content is important, while I will move them to my blog later.

2020_personal_plan

aparapi

Official AMD Aparapi repository

aps.v2.4

books

【编程随想】收藏的电子书清单（多个学科，含下载链接）

books-1

富贵必从勤苦得，男儿须读五车书

camshift-opencl

Camshift using OpenCL (image histogram, image moments).

coding-interview-university

A complete computer science study plan to become a software engineer.

deep_learning

Contains the slides for the deep learning presentation

deep_learning-1

finalproject

This is graduated project

gpuenabler

Provides GPU awareness to Spark, Contact: @kmadhugit and @kiszk

gpufeatureextraction

hallao0.github.io

This is my blog

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.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

human_detection

program for human detection in live video stream, built using Apache Spark

k-means-opencl

A k-means++ clustering implemented in OpenCL

kaggle

kubernetes-handbook

Kubernetes中文指南/云原生应用架构实践手册 - https://jimmysong.io/kubernetes-handbook

librdkafka

The Apache Kafka C/C++ library

linkis

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

machine-learning-experiments

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

machinelearning

Spark机器学习书代码

mybook

书单

nodeppt

This is probably the best web presentation tool so far!

openclipp

OpenCL Integrated Performance Primitives - A library of optimized OpenCL image processing functions

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

scalablecloudcomputing

SPARK-exercise