eddyj Goto Github PK

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ai_tutorial

精华机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-deeplearning-study

Summary of DeepLearning (Korean and English are included)

awesome-tensorflow-chinese

Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861，公众号：磐创AI，微信群二维码：http://www.tensorflownews.com/

druid

为监控而生的数据库连接池！

fate

An Industrial Level Federated Learning Framework

federated-learning

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

fedlearner

A multi-party collaborative machine learning framework

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

github

GitHub 漫游指南- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.

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.

home

ApacheCN 开源组织：公告、介绍、成员、活动、交流方式

impala

Real-time Query for Hadoop

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

linux

Linux kernel source tree

machine-learning

机器学习原理

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。

mpc-sok-frameworks

nebula

A distributed, fast open-source graph database featuring horizontal scalability and high availability

opencheetah

python-100-days

Python - 100天从新手到大师

rosetta

A Privacy-Preserving Framework Based on TensorFlow

scikit-learn

scikit-learn: machine learning in Python

spark-ml-source-analysis

spark ml 算法原理剖析以及具体的源码实现分析

tao-shen.github.io

联邦学习FAQ

tensorflow

图解tensorflow 源码

util