Pinned Repositories
2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码
adaboost-implementation
Implementation of AdaBoost algorithm in Python
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
ann-visualizer
A python library for visualizing Artificial Neural Networks (ANN)
ann-writer
An artificial machine learning program that attempts to impersonate the writing style of any given text training set
annotated-py-projects
flask/sanic/asyncio/bottle/webpy 大量项目 源码阅读注释合集
Apriori
Implementation of Aprior Associative Rule Learning python.
Apriori-1
Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules
Apriori-and-Eclat-Frequent-Itemset-Mining
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.
li59135016's Repositories
li59135016/python-fp-growth
An implementation of the FP-growth algorithm in pure Python.
li59135016/Apriori-and-Eclat-Frequent-Itemset-Mining
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.
li59135016/MLC_toolbox
A MATLAB/OCTAVE library for Multi-Label Classification
li59135016/LSSVM_python_code
li59135016/FuzzyCMeans
A Python implementation of Fuzzy C Means Clustering algorithm.
li59135016/svr
Support Vector Regression
li59135016/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
li59135016/Conv_LSTM_TeleCommunications
Statistical Analysis and predicting future TeleCommunication Data by SVR, ARIMA, LSTM, Conv_LSTM
li59135016/SVM-vs-LSSVM
li59135016/ensemble-bagging-boosting
li59135016/randomforest-density-python
Random Forests for Density Estimation in Python
li59135016/Opossum-
Opossum is a tool to pre-process RNA-seq reads prior to variant calling.
li59135016/pygspan
A non-pythonic gspan implentation in python
li59135016/pykalman
Kalman Filter, Smoother, and EM Algorithm for Python
li59135016/Django-ERP
Django-ERP是一款基于Django开发的ERP管理软件，包含常用的销售管理、采购管理、库存管理、组织管理等，支持按项目归集费用，支持工作流审批，支持采购单、报价单的批量导入。
li59135016/python3-fp-growth
the fp-growth algorithm with python3.
li59135016/data-mining
数据挖掘的相关案例和demo
li59135016/Cluster
聚类算法。实现Kmeans，DBSCAN以及谱聚类
li59135016/gSpan
Implementation of the depth-first gSpan algorithm for frequent graph mining in graphs data set. Finds possible frequent and canonical extensions of a given graph from a given set of graphs.
li59135016/Apriori
Implementation of Aprior Associative Rule Learning python.
li59135016/Market-Basket-Optimization
Applying associative rule learning on market basket optimization by applying Apriori algorithm.
li59135016/Dimensionality-Reduction-And-Associative-Rule-Mining
Performed dimensionality reduction using PCA and associative rule mining using Apriori
li59135016/ModelSelection_DynamicPricing
li59135016/ModelSelection-1
Bayesian model selection for linear regression
li59135016/DENCLUE-
DENCLUE2.0 algorithm for python
li59135016/EM-Expection-Maximization
2048 AI for Expection Maximization
li59135016/ModelSelection
A valuable data science tool. Easily train and compare 6 different ML algorithms: K-Nearest Neighbour, Random Forest, RBF SVM, Simple Neural Network, Deep Neural Network, Recurrent Neural Network
li59135016/new-repo
li59135016/DecisionTree
Python Implementation of ID3
li59135016/adaboost-implementation
Implementation of AdaBoost algorithm in Python