Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Stars: β 81 (+350%)
DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Stars: β 161 (+794.44%)
M-NMFAn implementation of "Community Preserving Network Embedding" (AAAI 2017)
Stars: β 119 (+561.11%)
GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Stars: β 210 (+1066.67%)
TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Stars: β 43 (+138.89%)
Text SummarizerPython Framework for Extractive Text Summarization
Stars: β 96 (+433.33%)
Lemniscate.pytorchUnsupervised Feature Learning via Non-parametric Instance Discrimination
Stars: β 532 (+2855.56%)
FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
Stars: β 18 (+0%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Stars: β 750 (+4066.67%)
Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: β 213 (+1083.33%)
SpectralclusterPython re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
Stars: β 220 (+1122.22%)
VQ-APCVector Quantized Autoregressive Predictive Coding (VQ-APC)
Stars: β 34 (+88.89%)
rl singing voiceUnsupervised Representation Learning for Singing Voice Separation
Stars: β 18 (+0%)
acoustic-keyloggerPipeline of a keylogging attack using just an audio signal and unsupervised learning.
Stars: β 80 (+344.44%)
dbscanDBSCAN Clustering Algorithm C# Implementation
Stars: β 38 (+111.11%)
lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
Stars: β 27 (+50%)
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: β 101 (+461.11%)
protoProto-RL: Reinforcement Learning with Prototypical Representations
Stars: β 67 (+272.22%)
T-CorExImplementation of linear CorEx and temporal CorEx.
Stars: β 31 (+72.22%)
NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Stars: β 39 (+116.67%)
treecutFind nodes in hierarchical clustering that are statistically significant
Stars: β 26 (+44.44%)
Unsupervised-Learning-in-RWorkshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
Stars: β 34 (+88.89%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: β 66 (+266.67%)
Nlp In PracticeStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Stars: β 790 (+4288.89%)
srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Stars: β 56 (+211.11%)
Text-AnalysisExplaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Stars: β 48 (+166.67%)
Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Stars: β 605 (+3261.11%)
DESOMπ Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
Stars: β 76 (+322.22%)
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Stars: β 91 (+405.56%)
SimclrSimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Stars: β 2,720 (+15011.11%)
amrOfficial adversarial mixup resynthesis repository
Stars: β 31 (+72.22%)
SimCLRPytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
Stars: β 65 (+261.11%)
RolXAn alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Stars: β 52 (+188.89%)
kmeansA simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python
Stars: β 18 (+0%)
ladder-vae-pytorchLadder Variational Autoencoders (LVAE) in PyTorch
Stars: β 59 (+227.78%)
SparseLSHA Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.
Stars: β 127 (+605.56%)
MVGLTCyb 2018: Graph learning for multiview clustering
Stars: β 26 (+44.44%)
kwxBERT, LDA, and TFIDF based keyword extraction in Python
Stars: β 33 (+83.33%)
Minisomπ΄ MiniSom is a minimalistic implementation of the Self Organizing Maps
Stars: β 801 (+4350%)
LinearCorexFast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data
Stars: β 39 (+116.67%)
L2cLearning to Cluster. A deep clustering strategy.
Stars: β 262 (+1355.56%)
dti-clustering(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper
Stars: β 60 (+233.33%)
Self LabelSelf-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Stars: β 324 (+1700%)
SimclrPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Stars: β 293 (+1527.78%)
Text2vecFast vectorization, topic modeling, distances and GloVe word embeddings in R.
Stars: β 715 (+3872.22%)
Disentangling VaeExperiments for understanding disentanglement in VAE latent representations
Stars: β 398 (+2111.11%)
Autoregressive Predictive CodingAutoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
Stars: β 138 (+666.67%)
GraphwavemachineA scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Stars: β 151 (+738.89%)
watchmanWatchman: An open-source social-media event-detection system
Stars: β 18 (+0%)