keras-aquariuma small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
Stars: ✭ 14 (-86.54%)
NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Stars: ✭ 39 (-62.5%)
TOMA library for topic modeling and browsing
Stars: ✭ 91 (-12.5%)
mathematics-statistics-for-data-scienceMathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
Stars: ✭ 56 (-46.15%)
LinkedIn Scraper🙋 A Selenium based automated program that scrapes profiles data,stores in CSV,follows them and saves their profile in PDF.
Stars: ✭ 25 (-75.96%)
contextualLSTMContextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
Stars: ✭ 28 (-73.08%)
twpca🕝 Time-warped principal components analysis (twPCA)
Stars: ✭ 118 (+13.46%)
retailbox🛍️RetailBox - eCommerce Recommender System using Machine Learning
Stars: ✭ 32 (-69.23%)
ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
Stars: ✭ 2,569 (+2370.19%)
OLSTECOnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
Stars: ✭ 30 (-71.15%)
recometrics(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems
Stars: ✭ 19 (-81.73%)
uapcaUncertainty-aware principal component analysis.
Stars: ✭ 16 (-84.62%)
DSMO.courseData Science and Matrix Optimization course
Stars: ✭ 64 (-38.46%)
bnpBayesian nonparametric models for python
Stars: ✭ 17 (-83.65%)
Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
Stars: ✭ 15 (-85.58%)
ParametricUMAP paperParametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
Stars: ✭ 132 (+26.92%)
GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Stars: ✭ 210 (+101.92%)
ConceptConcept Modeling: Topic Modeling on Images and Text
Stars: ✭ 119 (+14.42%)
NetmfNetwork Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Stars: ✭ 158 (+51.92%)
DRComparisonComparison of dimensionality reduction methods
Stars: ✭ 29 (-72.12%)
Cumf alsCUDA Matrix Factorization Library with Alternating Least Square (ALS)
Stars: ✭ 154 (+48.08%)
RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Stars: ✭ 145 (+39.42%)
sefA Python Library for Similarity-based Dimensionality Reduction
Stars: ✭ 24 (-76.92%)
RobustpcaRobust PCA implementation and examples (Matlab)
Stars: ✭ 138 (+32.69%)
TopicsExplorerExplore your own text collection with a topic model – without prior knowledge.
Stars: ✭ 53 (-49.04%)
tomoto-rubyHigh performance topic modeling for Ruby
Stars: ✭ 49 (-52.88%)
stripnetSTriP Net: Semantic Similarity of Scientific Papers (S3P) Network
Stars: ✭ 82 (-21.15%)
Ask2TransformersA Framework for Textual Entailment based Zero Shot text classification
Stars: ✭ 102 (-1.92%)
RcppMLRcpp Machine Learning: Fast robust NMF, divisive clustering, and more
Stars: ✭ 52 (-50%)
ezancestryEasy genetic ancestry predictions in Python
Stars: ✭ 38 (-63.46%)
federated pcaFederated Principal Component Analysis Revisited!
Stars: ✭ 30 (-71.15%)
auto-gfqgAutomatic Gap-Fill Question Generation
Stars: ✭ 17 (-83.65%)
M-NMFAn implementation of "Community Preserving Network Embedding" (AAAI 2017)
Stars: ✭ 119 (+14.42%)
text-analysisWeaving analytical stories from text data
Stars: ✭ 12 (-88.46%)
teanaps자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.
Stars: ✭ 91 (-12.5%)
matrix-completionLightweight Python library for in-memory matrix completion.
Stars: ✭ 94 (-9.62%)
NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Stars: ✭ 23 (-77.88%)
SpotlightDeep recommender models using PyTorch.
Stars: ✭ 2,623 (+2422.12%)
PolaraRecommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
Stars: ✭ 205 (+97.12%)
REGALRepresentation learning-based graph alignment based on implicit matrix factorization and structural embeddings
Stars: ✭ 78 (-25%)
CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Stars: ✭ 160 (+53.85%)
Machine LearningA repository of resources for understanding the concepts of machine learning/deep learning.
Stars: ✭ 29 (-72.12%)
BionevGraph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Stars: ✭ 155 (+49.04%)
stmprinterPrint multiple stm model dashboards to a pdf file for inspection
Stars: ✭ 34 (-67.31%)
NmflibraryMATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
Stars: ✭ 153 (+47.12%)
RecotourA tour through recommendation algorithms in python [IN PROGRESS]
Stars: ✭ 140 (+34.62%)
partitionA fast and flexible framework for data reduction in R
Stars: ✭ 33 (-68.27%)
cmna-pkgComputational Methods for Numerical Analysis
Stars: ✭ 13 (-87.5%)
hldaGibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
Stars: ✭ 138 (+32.69%)
mosesStreaming, Memory-Limited, r-truncated SVD Revisited!
Stars: ✭ 19 (-81.73%)
mlmachine learning
Stars: ✭ 29 (-72.12%)