RolXAn alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Stars: ✭ 52 (-56.3%)
NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Stars: ✭ 39 (-67.23%)
BagofconceptsPython implementation of bag-of-concepts
Stars: ✭ 18 (-84.87%)
GraphembeddingImplementation and experiments of graph embedding algorithms.
Stars: ✭ 2,461 (+1968.07%)
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 (-15.13%)
RcppMLRcpp Machine Learning: Fast robust NMF, divisive clustering, and more
Stars: ✭ 52 (-56.3%)
FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Stars: ✭ 16 (-86.55%)
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 (-71.43%)
GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Stars: ✭ 210 (+76.47%)
Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Stars: ✭ 81 (-31.93%)
PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Stars: ✭ 86 (-27.73%)
Autoregressive Predictive CodingAutoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
Stars: ✭ 138 (+15.97%)
SimclrSimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Stars: ✭ 2,720 (+2185.71%)
LibrecLibRec: A Leading Java Library for Recommender Systems, see
Stars: ✭ 3,045 (+2458.82%)
SmoreSMORe: Modularize Graph Embedding for Recommendation
Stars: ✭ 307 (+157.98%)
TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Stars: ✭ 43 (-63.87%)
walkletsA lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Stars: ✭ 94 (-21.01%)
FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
Stars: ✭ 18 (-84.87%)
Awesome Graph ClassificationA collection of important graph embedding, classification and representation learning papers with implementations.
Stars: ✭ 4,309 (+3521.01%)
T-CorExImplementation of linear CorEx and temporal CorEx.
Stars: ✭ 31 (-73.95%)
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-84.03%)
watchmanWatchman: An open-source social-media event-detection system
Stars: ✭ 18 (-84.87%)
kmeansA simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python
Stars: ✭ 18 (-84.87%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Stars: ✭ 750 (+530.25%)
Lemniscate.pytorchUnsupervised Feature Learning via Non-parametric Instance Discrimination
Stars: ✭ 532 (+347.06%)
Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (+251.26%)
Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (+78.99%)
Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Stars: ✭ 605 (+408.4%)
Disentangling VaeExperiments for understanding disentanglement in VAE latent representations
Stars: ✭ 398 (+234.45%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (-44.54%)
watset-javaAn implementation of the Watset clustering algorithm in Java.
Stars: ✭ 24 (-79.83%)
L2cLearning to Cluster. A deep clustering strategy.
Stars: ✭ 262 (+120.17%)
dbscanDBSCAN Clustering Algorithm C# Implementation
Stars: ✭ 38 (-68.07%)
acoustic-keyloggerPipeline of a keylogging attack using just an audio signal and unsupervised learning.
Stars: ✭ 80 (-32.77%)
Minisom🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Stars: ✭ 801 (+573.11%)
MVGLTCyb 2018: Graph learning for multiview clustering
Stars: ✭ 26 (-78.15%)
Unsupervised-Learning-in-RWorkshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
Stars: ✭ 34 (-71.43%)
dti-clustering(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper
Stars: ✭ 60 (-49.58%)
treecutFind nodes in hierarchical clustering that are statistically significant
Stars: ✭ 26 (-78.15%)
Self LabelSelf-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Stars: ✭ 324 (+172.27%)
CompressCompressing Representations for Self-Supervised Learning
Stars: ✭ 43 (-63.87%)
SpectralclusterPython re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
Stars: ✭ 220 (+84.87%)
DESOM🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
Stars: ✭ 76 (-36.13%)
VQ-APCVector Quantized Autoregressive Predictive Coding (VQ-APC)
Stars: ✭ 34 (-71.43%)
DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Stars: ✭ 161 (+35.29%)
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+7026.89%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Stars: ✭ 293 (+146.22%)
LinearCorexFast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data
Stars: ✭ 39 (-67.23%)
Text SummarizerPython Framework for Extractive Text Summarization
Stars: ✭ 96 (-19.33%)
EgoSplittingA NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
Stars: ✭ 78 (-34.45%)
REGALRepresentation learning-based graph alignment based on implicit matrix factorization and structural embeddings
Stars: ✭ 78 (-34.45%)