Daya-Jin / ML_for_learnerLinks
Implementations of the machine learning algorithm with Python and numpy
☆86Updated 3 years ago
Alternatives and similar repositories for ML_for_learner
Users that are interested in ML_for_learner are comparing it to the libraries listed below
Sorting:
- Sample code and picture of my blog or project☆138Updated 3 years ago
- 用python和sklearn两种方法实现李航《统计学习方法》中的算法☆340Updated 7 years ago
- several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytor…☆65Updated 2 years ago
- cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attentio…☆208Updated 4 years ago
- personal practice(个人练习,实现了深度学习中的一些算法,包括:四种初始化方法(zero initialize, random initialize, xavier initialize, he initialize),深度神经网络,正则化,dropout,…☆224Updated 6 years ago
- 高斯混合模型(GMM 聚类)的 EM 算法实现。☆201Updated 6 years ago
- WeChat Official Accounts, zhihu and CSDN'blog code☆263Updated 5 years ago
- ☆174Updated 2 years ago
- 2019年CCF大数据与计算智能大赛乘用车细分市场销量预测冠军解决方案☆259Updated 5 years ago
- ☆141Updated 7 years ago
- 《机器学习之类别不平衡问题》文章代码☆48Updated 6 years ago
- some small codes about deep learning☆51Updated 7 years ago
- Pure Python implementation of machine learning algorithms☆445Updated 3 years ago
- Basic data mining model, including feature importance display☆467Updated last year
- 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 ar…☆736Updated 6 years ago
- Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy☆414Updated 3 years ago
- machine learning☆120Updated 6 years ago
- Python实现经典分类回归、关联分析、聚类以及推荐算法等☆215Updated 6 years ago
- A repository for recording the machine learning code☆96Updated 3 years ago
- 阿水的数据竞赛开源分支☆350Updated 5 years ago
- 2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名-【多分类,embedding】☆340Updated 6 years ago
- PyTorch1.0 深度学习:60分钟入门与实战(Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习)☆189Updated 6 years ago
- 机器学习算法 基于西瓜书以及《统计学习方法》,当然包括DL。☆295Updated 6 years ago
- Some machine learning algorithm☆70Updated 5 years ago
- 廖星宇《深度学习入门之PyTorch》代码实践☆142Updated 7 years ago
- 《动手学深度学习》 PyTorch 版本☆178Updated 5 years ago
- Solutions of the forecast problem using Xgboost☆92Updated 6 years ago
- 机器学习基本模型算法介绍(附加案例)☆226Updated 6 years ago
- 易观性别年龄预测第一名解决方案☆170Updated 6 years ago
- 通过阅读网上的资料代码,进行自我加工,努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯☆732Updated 5 years ago