AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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Updated
Feb 17, 2023 - Python
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Plain python implementations of basic machine learning algorithms
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
gesture recognition toolkit
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
A curated list of Best Artificial Intelligence Resources
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
文本聚类(Kmeans、DBSCAN、LDA、Single-pass)
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Dynamically get the suggested clusters in the data for unsupervised learning.
经典机器学习算法的极简实现
Absolute balanced kdtree for fast kNN search.
This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.
A simple machine learning framework written in Swift
golang package to find the K most dominant/prominent colors in an image
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
Explore high-dimensional datasets and how your algo handles specific regions.
Add a description, image, and links to the kmeans topic page so that developers can more easily learn about it.
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