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29 search results found

Ailearning ⭐ 37,934

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Cilantro ⭐ 892

A lean C++ library for working with point cloud data

Ml Course ⭐ 168

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

经典机器学习算法的极简实现

Tiny_ml ⭐ 137

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

Python_for_data_science ⭐ 129

python_for_data_science

Faiss Ruby ⭐ 113

Efficient similarity search and clustering for Ruby

Explore high-dimensional datasets and how your algo handles specific regions.

A repository for recording the machine learning code

Covid19 Literature Clustering ⭐ 63

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Anna_anki_neuronal_appendix ⭐ 56

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Machine_learning_code_with_python ⭐ 40

machine learning algorithms in Swift

Biteduml ⭐ 30

北京理工大学<Python机器学习应用>超详细学习笔记和代码注释(未完待续)

Ml Simulations ⭐ 28

Animated Visualizations of Popular Machine Learning Algorithms

Osm Data Classification ⭐ 24

OpenStreetMap Data Classification

Machine Learning Algorithm ⭐ 22

【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision Tree 决策树 | Random Forest 随机森林 | DBDT | GDA 高斯判别分析 | PCA 主成分分析 | LDA 线性判别分析

Changedetectionpcakmeans ⭐ 20

MATLAB implementation for "Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering".

Gridfree ⭐ 18

An App counts the number of components in an image.

Machinelearning ⭐ 17

Implementations of machine learning algorithm by Python 3

Ai Ml Unit 2 ⭐ 16

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

Ml And Dl ⭐ 16

Image Clustering ⭐ 14

This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and resnet50 using the weights from ImageNet

Jackstraw ⭐ 14

Statistical Inference for Unsupervised Learning

Machine Learning ⭐ 12

machine-learning

Clustering On The Mnist Data ⭐ 11

Comparisons between KMeans, PCA, LDA, t-SNE on the MNIST dataset

Spark_mllib_algorithm_1.6.0 ⭐ 11

Spark Mllib 1.6.0版本算法封装

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Machine Learning ⭐ 8

Repository for Machine Learning Notes

Nlp Project Book Insights With Plotly ⭐ 7

Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.

Advance Machine Learning Kernel Method ⭐ 6

Advance machine Learning: Kernel methods implemented for PCA, KMeans, Logistic Regression, Support Vector Machine (SVM) and Support Vector Data Description (SVDD)

Resnet Tensorflow ⭐ 6

ResNet in tensorflow for CIFAR-100, CIFAR-10

Deep_learning_coursera Machine_learning_coursera ⭐ 6

NG深度学习机器学习Coursera视频作业

Kmeans_to_pyldavis ⭐ 6

Visualizing k-means using pyLDAvis

Gait-phase Estimation Module

Cluster Kmeans Emgmm Pca ⭐ 5

Wine Types Clustering using K-Means, EM-GMM and PCA

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