Alternatives and similar repositories for Easy_HMM:

Users that are interested in Easy_HMM are comparing it to the libraries listed below

• Eilene / HMM-python
  用python实现了隐马尔科夫模型的概率计算和预测部分，主要是前向后向算法和维特比算法
  ☆48Updated 9 years ago
• wrayzheng / gmm-em-clustering
  高斯混合模型（GMM 聚类）的 EM 算法实现。
  ☆198Updated 6 years ago
• fuqiuai / lihang_algorithms
  用python和sklearn两种方法实现李航《统计学习方法》中的算法
  ☆337Updated 6 years ago
• SmallVagetable / machine_learning_python
  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
  ☆729Updated 5 years ago
• TianFengshou / hyperopt-doc-zh
  Github开源项目hyperopt系列的中文文档,以及学习教程等
  ☆163Updated 5 years ago
• apachecn / lightgbm-doc-zh
  LightGBM 中文文档
  ☆757Updated last year
• LouisScorpio / datamining
  learn in datamining
  ☆521Updated 6 years ago
• Rudo-erek / decision-tree
  基于kaggle上Titanic数据集实现的ID3、C4.5、CART和CART剪枝算法
  ☆40Updated 6 years ago
• scarlettgin / cyclical_series_predict
  ☆84Updated 7 years ago
• krocki / dnc
  Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
  ☆415Updated 3 years ago
• Microstrong0305 / WeChat-zhihu-csdnblog-code
  WeChat Official Accounts, zhihu and CSDN'blog code
  ☆262Updated 5 years ago
• u784799i / biLSTM_attn
  ☆166Updated 6 years ago
• InsaneLife / MyPicture
  Sample code and picture of my blog or project
  ☆137Updated 2 years ago
• nick6918 / MyDeepLearning
  A deep learning library to provide algs in pure Numpy or Tensorflow.
  ☆293Updated 7 years ago
• aehuynh / hidden-markov-model
  First order HMM with Viterbi, Forward-Backward and Baum-Welch implementations
  ☆47Updated 9 years ago
• worksking / Interview_Notes-Chinese
  2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
  ☆28Updated 6 years ago
• AskyJx / xDeepLearningBook
  ☆47Updated 3 years ago
• liudragonfly / GBDT
  A simple GBDT in Python
  ☆356Updated 6 years ago
• fuqiuai / sklearn-feature-engineering
  使用sklearn做特征工程
  ☆172Updated 6 years ago
• geroge-gao / deeplearning
  some small codes about deep learning
  ☆51Updated 7 years ago
• apachecn / xgboost-doc-zh
  XGBoost 中文文档
  ☆569Updated last year
• lytforgood / MachineLearningTrick
  Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest
  ☆369Updated 7 years ago
• cxq80803716 / 2019-CCF-BDCI-Car_sales
  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
  ☆260Updated 5 years ago
• hongweijun811 / wjgit
  ☆43Updated 6 years ago
• Freemanzxp / 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 ar…
  ☆733Updated 5 years ago
• Salon-sai / learning-tensorflow
  Using tensorflow to implement different deep learning model
  ☆85Updated 5 years ago
• scofield7419 / basic_NNs_in_frameworks
  several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytor…
  ☆64Updated 2 years ago
• neal668 / LightGBM-GBDT-LR
  a python code of applying GBDT+LR for CTR prediction
  ☆333Updated 6 years ago
• tsycnh / mlbasic
  深度学习常用优化方法详解
  ☆268Updated 7 years ago
• lucasjinreal / LSTM_learn
  a implement of LSTM using Keras for time series prediction regression problem
  ☆220Updated 8 years ago