17 results found Sort:

susanli2016
Machine-Learning-with-Python susanli2016
4.8k
4.2k
unknown
270
Python code for common Machine Learning Algorithms
lda pca svm svr random-forest decision-trees kmeans-clustering linear-regression xgboost-algorithm knn-classification logistic-regression polynomial-regression naive-bayes-classifier hierarchical-clustering
Created 2017-05-26
211 commits to master branch, last one 2 years ago
skfolio
skfolio skfolio
74
983
bsd-3-clause
21
Python library for portfolio optimization built on top of scikit-learn
cvxpy portfolio risk-parity scikit-learn asset-allocation asset-management machine-learning cvar-optimization efficient-frontier trading-strategies convex-optimization quantitative-finance portfolio-optimization hierarchical-clustering quantitative-investment
Created 2023-12-14
113 commits to main branch, last one 9 days ago
JuliaStats
Clustering.jl JuliaStats
118
350
other
21
A Julia package for data clustering
julia k-means clustering fuzzy-clustering markov-clustering hierarchical-clustering
Created 2012-11-24
444 commits to master branch, last one 2 months ago
moon-hotel
MachineLearningWithMe moon-hotel
41
235
unknown
5
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
hca knn pca svm cart gbdt python kd-tree adaboost clustering naive-bayes self-training svm-classifier machine-learning dbscan-clustering ensemble-learning hierarchical-clustering decision-tree-classifier machine-learning-algorithms
Created 2020-03-31
358 commits to master branch, last one about a month ago
socnetv
app socnetv
26
195
other
6
Social Network Analysis and Visualization software application.
centrality kamada-kawai random-graphs gui-application network-analysis eigenvector-matrix centrality-measures matrix-calculations structural-analysis network-visualization betweenness-centrality eigenvector-centrality hierarchical-clustering social-network-analysis community-detection-algorithms
Created 2016-11-16
2,772 commits to master branch, last one about a year ago
sandipanpaul21
Clustering-in-Python sandipanpaul21
46
99
unknown
6
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 questi...
dbscan k-mode python dendogram clustering dbscan-clusters kmeans-analysis dbscan-algorithm kmeans-algorithm dbscan-clustering kmeans-clustering clustering-methods hierarchical-models clustering-algorithm clustering-evaluation clustering-validation clustering-coefficient gaussian-mixture-models hierarchical-clustering dbscan-clustering-algorithm
Created 2020-08-07
75 commits to master branch, last one 2 years ago
holgerteichgraeber
TimeSeriesClustering.jl holgerteichgraeber
23
81
mit
7
Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time seri...
julia clustering optimization energy-systems k-means-clustering representative-days k-medoids-clustering hierarchical-clustering time-series-aggregation
Created 2018-09-19
565 commits to master branch, last one 3 years ago
gcorso
NeuroSEED gcorso
16
68
mit
2
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
pytorch neurips-2021 bioinformatics machine-learning biological-sequences hierarchical-clustering multiple-sequence-alignment
Created 2021-04-27
19 commits to master branch, last one 8 months ago
gagolews
genieclust gagolews
10
56
other
7
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
r genie mlpack nmslib python sparse hdbscan python3 clustering data-mining data-science data-analysis cluster-analysis machine-learning clustering-algorithm hierarchical-clustering machine-learning-algorithms hierarchical-clustering-algorithm
Created 2018-05-12
466 commits to master branch, last one 11 days ago
jonghough
jlearn jonghough
13
56
mit
15
Machine Learning Library, written in J
j rbm lstm k-means learning clustering deep-learning knn-classifier machine-learning ensemble-learning gaussian-processes self-organizing-map gaussian-mixture-models hierarchical-clustering principal-component-analysis convolutional-neural-networks multilayer-perceptron-network restricted-boltzmann-machines
Created 2018-07-25
31 commits to master branch, last one 7 months ago
gtonkinhill
fastbaps gtonkinhill
8
55
mit
6
A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data
bayesian genetics hierarchical-clustering
Created 2018-06-12
155 commits to master branch, last one about a year ago
div-lab
dendromap div-lab
1
45
mit
2
Interactively and visually explore large-scale image datasets used in machine learning using treemaps. VIS 2022
treemap image-dataset visualization hierarchical-clustering
Created 2022-04-22
118 commits to main branch, last one about a year ago
panagiotisanagnostou
HiPart panagiotisanagnostou
6
45
mit
7
Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
pddp pyhton python cluster package python3 clustering data-mining data-science data-analysis visualization python-package bisecting-kmeans machine-learning bisecting-k-means data-visualization divisive-clustering contributions-welcome hierarchical-clustering bisecting-kmeans-clustering
Created 2021-10-06
180 commits to main branch, last one 22 days ago
tjddus9597
HIER-CVPR23 tjddus9597
4
41
mit
1
Official PyTorch Implementation of HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization, CVPR 2023
pytorch deep-learning computer-vision metric-learning hierarchical-clustering
Created 2023-04-09
11 commits to master branch, last one 10 months ago
nmonath
graphgrove nmonath
5
40
apache-2.0
4
A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
clustering nearest-neighbors online-clustering incremental-clustering hierarchical-clustering nearest-neighbor-search
Created 2021-05-05
60 commits to main branch, last one about a year ago
monty-se
PINstimation monty-se
6
30
gpl-3.0
2
A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (201...
clustering-analysis poisson-distribution information-asymmetry market-microstructure mixture-distributions hierarchical-clustering maximum-likelihood-estimation expectation-maximisation-algorithm
Created 2022-05-24
104 commits to master branch, last one about a month ago
mqwfrog
MHCCL mqwfrog
9
30
unknown
3
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
time-series contrastive-learning hierarchical-clustering representation-learning time-series-classification
Created 2022-08-19
39 commits to main branch, last one 7 months ago