JoniLulu29's Stars
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
st--/interactive-gp-visualization
Interactive visualization of Gaussian processes
yjfiejd/k-means_2
Using sklearn _ Cluster _ Kmeans
Guoxuan99/AI-for-AI
Hackathon - DELL HACK2HIRE 2021 - MSG Automl - A Streamlit based Automl system to help beginner and data specialist to find the best model to make prediction in classification, regression and clustering by the help of Pycaret Library.
Bluewhale97/AzureML-AutoML-Clustering
wywongbd/autocluster
AutoML for clustering models in sklearn.
soumita0210/Unsupervised-Learning-using-Autoencoders
K-Means and Gaussian Mixture Model ( GMM ) have been used for clustering the MNIST Fashion Dataset. To address the problem of the large number of features we used Autoencoders for dimension reduction. Autoencoders are used to compress the images in the dataset, however it results in a lossy compression. However, the reduced dimensions of the images results in K-Means and GMM running more efficiently. Results have been compared for all the experiments using the above three concepts.
bhanFight/clustering-GMM-EM
用高斯混合模型进行聚类，包含在faithful和iris数据集上的实验，详细注释。
sandipanpaul21/Clustering-in-Python
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
Roy-2605/GMM-Generative-Models
Implementing a generative model on MNIST training data using a GMM
tsyw/MachineLearningNotes
My personal notes
duducheng/clustering_tutorial
A Tutorial of KMeans(++), GMM and Spectral Clustering
wrayzheng/gmm-em-clustering
高斯混合模型（GMM 聚类）的 EM 算法实现。
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
jackfrued/Python-100-Days
Python - 100天从新手到大师
FedeMatt/Machine-Learning---exam-project
Applicability of DBSCAN algorithm to the MNIST dataset
pnsingh/TimeSeriesPatterns
A first look into several time series datasets from quandl (namely top tech companies stock close prices) and an attempt to find patterns in such series using de-noising and data compression via variational autoencoders. Exploring the possibility of clustering/creating classes using GMM akin to the MNIST dataset.
Mahanteshambi/Deep-learning
Feature extraction of MNIST dataset, and clustering them using K-Means algorithm
Shah-Jainam/MNIST-Kmean-clustering-Scratch
Making Kmean clustering from scratch using MNIST Digit dataset
SofianeOuaari/MNIST-DIGITS-KMEANS-Clustering
This is a notebook where I used KMEANS on the mnist digits dataset imported from sklearn. And I also applied t-SNE (Stochastic Neighbors Embedding) to reduce the dimensions of the dataset in order to graph the resullting clusters in a 2D scatter plot using matplotlib and plotly
wdlv/Clustering-on-the-MNIST-data
Comparisons between KMeans, PCA, LDA, t-SNE on the MNIST dataset
Datamine/MNIST-K-Means-Clustering
K-Means Clustering to Identify Handwritten Digits
MrymHkmbdi/MNIST
SOME CLUSTERING ALGORITHMS DONE ON MNIST DATASET
kareemhossam/KMeans-MNIST
K-Means Clustering on the MNIST Dataset
JoniLulu29/KMeans-MNIST
K-Means Clustering on the MNIST Dataset