M-NMFAn implementation of "Community Preserving Network Embedding" (AAAI 2017)
Stars: ✭ 119 (-93.65%)
Mutual labels: clustering, community-detection, deepwalk, matrix-factorization, factorization, unsupervised-learning, node2vec
RolXAn alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Stars: ✭ 52 (-97.23%)
Mutual labels: deepwalk, matrix-factorization, factorization, unsupervised-learning, embedding, node2vec
NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Stars: ✭ 39 (-97.92%)
Mutual labels: deepwalk, matrix-factorization, factorization, unsupervised-learning, embedding, node2vec
EgoSplittingA NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
Stars: ✭ 78 (-95.84%)
Mutual labels: clustering, community-detection, networkx, igraph, graph-clustering
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-98.99%)
Mutual labels: network-science, deepwalk, graph-clustering, node2vec
LabelPropagationA NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
Stars: ✭ 101 (-94.61%)
Mutual labels: clustering, community-detection, unsupervised-learning, graph-clustering
walkletsA lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Stars: ✭ 94 (-94.98%)
Mutual labels: deepwalk, dimensionality-reduction, embedding, node2vec
TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Stars: ✭ 43 (-97.71%)
Mutual labels: data-science, unsupervised-learning, matrix-factorization
GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Stars: ✭ 210 (-88.79%)
Mutual labels: unsupervised-learning, matrix-factorization, clustering
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+17.24%)
Mutual labels: data-science, clustering, dimensionality-reduction
DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Stars: ✭ 161 (-91.41%)
Mutual labels: data-science, unsupervised-learning, clustering
FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Stars: ✭ 16 (-99.15%)
Mutual labels: deepwalk, embedding, node2vec
FEATHERThe reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Stars: ✭ 34 (-98.19%)
Mutual labels: deepwalk, networkx, node2vec
Unsupervised-Learning-in-RWorkshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
Stars: ✭ 34 (-98.19%)
Mutual labels: clustering, dimensionality-reduction, unsupervised-learning
watset-javaAn implementation of the Watset clustering algorithm in Java.
Stars: ✭ 24 (-98.72%)
Mutual labels: clustering, community-detection, graph-clustering
Php MlPHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+321.56%)
Mutual labels: data-science, unsupervised-learning
Ppd599USC urban data science course series with Python and Jupyter
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Mutual labels: data-science, network-analysis
TgcontestTelegram Data Clustering contest solution by Mindful Squirrel
Stars: ✭ 74 (-96.05%)
Mutual labels: data-science, clustering
SusiSuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
Stars: ✭ 42 (-97.76%)
Mutual labels: data-science, unsupervised-learning
Self Supervised Learning Overview📜 Self-Supervised Learning from Images: Up-to-date reading list.
Stars: ✭ 73 (-96.1%)
Mutual labels: unsupervised-learning, clustering
