Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Deeplearning 500 Questions | 52,013 | 5 months ago | 112 | gpl-3.0 | JavaScript | |||||
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 | ||||||||||
Nlp Journey | 1,563 | 5 months ago | 3 | April 29, 2020 | apache-2.0 | Python | ||||
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0. | ||||||||||
Machine Learning | 1,046 | a year ago | 1 | Python | ||||||
机器学习原理 | ||||||||||
Ml | 153 | a year ago | gpl-3.0 | Python | ||||||
经典机器学习算法的极简实现 | ||||||||||
Tiny_ml | 137 | 4 years ago | Python | |||||||
numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法 | ||||||||||
Machinelearningnote | 114 | 3 years ago | Jupyter Notebook | |||||||
Patternrecognition_matlab | 39 | 3 years ago | 1 | MATLAB | ||||||
Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM). | ||||||||||
Bci_toolbox | 29 | 3 years ago | 6 | apache-2.0 | MATLAB | |||||
Classification toolbox for ERP and SSVEP based BCI data | ||||||||||
Hlmanalysis | 27 | 6 years ago | 1 | HTML | ||||||
红楼梦的NLP分析 | ||||||||||
Machine Learning Models | 26 | 2 years ago | 2 | mit | Python | |||||
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code. |