AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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Updated
Mar 4, 2024 - Python
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
⚡机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
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.
⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
detect stages in video automatically
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Simple machine learning library / 簡單易用的機器學習套件
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现
TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
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
This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.
OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目,支持中英双语、多种模型、多种任务。
30 Semi-Supervised Learning Algorithms
经典机器学习算法的极简实现
目标检测 - R-CNN算法实现
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