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Implementation of AdaBoost algorithm in Python
Implemented Adam optimizer in python
XGBoost + Optuna
该项目基于csci3202,讨论了两种使用python手写静态贝叶斯网络的办法,一种是迭代法,一种是递归法,迭代法基于多条件多结果的条件概率的枚举求法,迭代法基于边缘概率进行分类求取,其中,迭代法存在bug(bug的本质是浮点数计算的精度问题),递归法由于分情况讨论,精度其实更高
:dna: bp-ga algorithm implemented by pytorch
Canny Edge detector library
Baseline methods for [CTW dataset](https://ctwdataset.github.io/)
Implementation of DBSCAN Algorithm in Python.
决策树ID3算法的python实现
孤立森林异常检测iforest
Text recognition (optical character recognition) with deep learning methods.
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
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
百度对话
:orange_book: 中华新华字典数据库。包括歇后语,成语,词语,汉字。
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
基于DouZero定制AI实战欢乐斗地主
基于LSTM的电力负荷预测
Library for fast text representation and classification.
python 用GA算法优化BP神经网络
a back propagation neural network with genetic algorithm
Python Code for Gravitational Search Algorithm (GSA)
包含灰色预测模型:灰色单变量预测模型GM(1,1)模型,灰色多变量预测模型GM(1,N)模型,GM(1,N)幂模型,灰色多变量周期幂模型GM(1,N|sin)幂模型,以及灰色关联模型
GRU(models/gru_softmax)
Hierarchical Clustering Python Implementation
Hough Transform implementation in Python
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)
🦜🔗 Build context-aware reasoning applications
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.