Data Analysis and Modeling Package from WorldPop
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Spark, MapReduce, Scala
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Code for processing the accelerometer data from the Whitehall Study II
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Extending mar org models to include lightgbm
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This is a topic modeling tool based on Fuzzy Latent Semantic Analysis method.
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Review of basic econometrics (distributions, expectations, linear regression) Topic 2 Introduction to time series data: covariance stationary processes; ARMA processes Topic 3 Non-stationary processes: deterministic and stochastic trends; unit root tests structural breaks; Chow and QLR tests Topic 4 Serial correlation: problems and solutions; HAC standard errors Topic 5 Vector autoregressions: estimation, identification, impulse responses, variance decomposition and forecasting Topic 6 Cointegration Topic 7 Models of conditional heteroskedasticity: ARCH and GARCH Topic 8 Forecast Evaluation: Tests of absolute forecasting performance Tests of relative forecasting performance Topic 9 Forecasting with many predictors; Model combinations
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Source Codes for the Modified Fast Marching Method explained in the paper "Modelling boundaries between converging fronts in prehistory" by Silva, F., and Steele, J.
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Topic Modeling using LDA and Gibbs sampling in R.
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Bioconductor package BiGGR for constraint based modeling using metabolic reconstruction databases
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Natural_language_processing_projectby RuiChang123
Jupyter Notebook 
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License: No License (No License)Topic modeling
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BUGZY - Automated machine learning model to predict if a git commit is a bug fix. Based on topic modeling and natural language processing, it is built with SVM and Latent Dirichlet Allocation (LDA).
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NLP-Word2Vecby Muhammad-Ahmad-AI
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Topic modeling of TripAdvisor hotel reviews
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Notebooks that use ms2lda
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Conceptor-Negation-WVby liutianlin0121
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Student-Alcohol-Consumption-Detection-by Manaliagarwal
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License: No License (No License)With the Student Alcohol Consumption data set, we predict high or low alcohol consumption of students.
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Topic-Sentiment Authorship
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Topic-modelling-and-LDAby praveenofficials
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License: No License (No License)Topic modelling with the break through analysis of LDA ,evaluation with Coherence and the perplexity
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DSLab Embedding & Word2vec Study Repository
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Topic-Modeling-MD-Legislationby smwitkowski
Jupyter Notebook 2 Version:Current License: No License (No License)
License: No License (No License)Building a topic model on legislation from Maryland in 2018
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StatSim models (deterministic and probabilistic)
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Topic modeling methodology using natural language processing and unsupervised clustering techniques (K-means, Gaussian mixture models, LDA and doc2vec to be implemented).
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Jupyter Notebook 2 Version:Current License: No License (No License)
License: No License (No License)Openseminar #1 From scraping to Word2vec, Doc2Vec visualization with t-SNE
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Multi Mode Source Extraction
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TopicModeling_LDA_NLPby nataliabernardo
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License: No License (No License)Predicting what user reviews are about with Topic Modeling and Sentiment Analysis. For more details, check my blog post!
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Exploring_WordEmbeddingsby arsena-k
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License: No License (No License)Intro to Word Embeddings and Applications
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Topic modeling of a headline dataset using Gensim. LDA is used to evaluate performance.
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Word2Vec + LDA topic modelling on twitter
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Frequency-Distributionby SHIVITG
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License: No License (No License)Frequency distribution of words in a text file using Counter and YellowBrick using Python
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Numpy-based PLSA(plsa.py), LDA vs hLDA and vizualization(LDA_vs.hLDA.ipynb)
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DS Curriculum
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Dimensionality-reduction-algorithmby WangRongsheng
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License: No License (No License):relaxed: PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
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Topic-modelling-using-Latent-Dirichlet-Allocationby sajan-caissa
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Gensim tool is used in building a LDA topic modelling
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Research done by student of ITMO university Chizhevskiy Vladimir
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Similarity-Matrix-by-text-miningby sbhatt14
Jupyter Notebook 2 Version:Current License: No License (No License)
License: No License (No License)Generate similarity matrix of documents using NLTK. A brief description of a firm/organization is used as an example. Term Frequency- Inverse Document Frequency vectors of documents are created. Matrix is score is based on cosine similarity.
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Final Project for Data Mining (IE500) at the University of Mannheim
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Capstone-Topic-Modelingby Rae-Jiang
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Golos economy model
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Jupyter Notebook 2 Version:Current License: No License (No License)
License: No License (No License)News article recommendations. LDA topic modeling. Model evaluation. Visualization of the topics.
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This repository is designed for students in DIGI405 at the University of Canterbury to do topic modeling through their browser using Binder. It is relevant for others who want to do topic modeling through a browser with their own corpus.
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Introductory discussions of machine learning topics
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ocean_model_grid_generatorby nikizadehgfdl
Python 2 Version:Current License: No License (No License)
License: No License (No License)A tool to create a computational model grid (mesh) for GFDL MOM based ocean models
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A metamodelling platform compatible with EMF/eCore
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An object-oriented actuarial modeling framework
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A metabolic modeling workflow for communities of organisms in an nasal medium.
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UMC Miner 서버 레포지토리
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wpUtilitiesby worldpopglobal
Data Analysis and Modeling Package from WorldPop
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Big_Data_Project_3by andrewjbaumann
Spark, MapReduce, Scala
Scala 2Updated: 9 y ago License: No License (No License)
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whitehall-acc-spt-detection-evalby wadpac
Code for processing the accelerometer data from the Whitehall Study II
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mlr-lightgbm-Extensionby MelvinWoodley
Extending mar org models to include lightgbm
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FLSA-Topic-Modelby amir-karami
This is a topic modeling tool based on Fuzzy Latent Semantic Analysis method.
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Econometric-Forecastingby bharathallu
Review of basic econometrics (distributions, expectations, linear regression) Topic 2 Introduction to time series data: covariance stationary processes; ARMA processes Topic 3 Non-stationary processes: deterministic and stochastic trends; unit root tests structural breaks; Chow and QLR tests Topic 4 Serial correlation: problems and solutions; HAC standard errors Topic 5 Vector autoregressions: estimation, identification, impulse responses, variance decomposition and forecasting Topic 6 Cointegration Topic 7 Models of conditional heteroskedasticity: ARCH and GARCH Topic 8 Forecast Evaluation: Tests of absolute forecasting performance Tests of relative forecasting performance Topic 9 Forecasting with many predictors; Model combinations
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FastMarching-legacyby f-silva-archaeo
Source Codes for the Modified Fast Marching Method explained in the paper "Modelling boundaries between converging fronts in prehistory" by Silva, F., and Steele, J.
R 2Updated: 7 y ago License: Permissive (MIT)
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Mechanistic-Tree-Ringby jtipton25
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topicmodelby raingo
Topic Modeling using LDA and Gibbs sampling in R.
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BiGGRby hettling
Bioconductor package BiGGR for constraint based modeling using metabolic reconstruction databases
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bitcoinby gentoo-mirror
Bitcoin and CPU/GPU mining related ebuilds
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Natural_language_processing_projectby RuiChang123
Topic modeling
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commitzby vivek7266
BUGZY - Automated machine learning model to predict if a git commit is a bug fix. Based on topic modeling and natural language processing, it is built with SVM and Latent Dirichlet Allocation (LDA).
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NLP-Word2Vecby Muhammad-Ahmad-AI
Word2Vec using gensim lib
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topic-modeling-tripadvby harshit-sh
Topic modeling of TripAdvisor hotel reviews
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ms2lda-notebooksby iomega
Notebooks that use ms2lda
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Conceptor-Negation-WVby liutianlin0121
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Student-Alcohol-Consumption-Detection-by Manaliagarwal
With the Student Alcohol Consumption data set, we predict high or low alcohol consumption of students.
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topic-sentiment-authorshipby chbrown
Topic-Sentiment Authorship
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Topic-modelling-and-LDAby praveenofficials
Topic modelling with the break through analysis of LDA ,evaluation with Coherence and the perplexity
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embedding-word2vecby sophryu99
DSLab Embedding & Word2vec Study Repository
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Topic-Modeling-MD-Legislationby smwitkowski
Building a topic model on legislation from Maryland in 2018
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nlp_medium_articlesby nsinha280
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modelsby statsim
StatSim models (deterministic and probabilistic)
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Topic_Modelingby jptrinastic
Topic modeling methodology using natural language processing and unsupervised clustering techniques (K-means, Gaussian mixture models, LDA and doc2vec to be implemented).
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ie_openseminar_1_from_text_to_doc2vec_tsneby lovit
Openseminar #1 From scraping to Word2vec, Doc2Vec visualization with t-SNE
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MMSEby maxbortone
Multi Mode Source Extraction
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TopicModeling_LDA_NLPby nataliabernardo
Predicting what user reviews are about with Topic Modeling and Sentiment Analysis. For more details, check my blog post!
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Exploring_WordEmbeddingsby arsena-k
Intro to Word Embeddings and Applications
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TopicModeling_gensimby SHIVITG
Topic modeling of a headline dataset using Gensim. LDA is used to evaluate performance.
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twitter_analyticsby joeybose
Word2Vec + LDA topic modelling on twitter
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PyRationalby PyRational
Jupyter Notebook 2Updated: 4 y ago License: Permissive (BSD-3-Clause)
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Frequency-Distributionby SHIVITG
Frequency distribution of words in a text file using Counter and YellowBrick using Python
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BeyondLDAby TeddyWang0202
Numpy-based PLSA(plsa.py), LDA vs hLDA and vizualization(LDA_vs.hLDA.ipynb)
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curriculumby Novandev
DS Curriculum
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Dimensionality-reduction-algorithmby WangRongsheng
:relaxed: PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
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Topic-modelling-using-Latent-Dirichlet-Allocationby sajan-caissa
Gensim tool is used in building a LDA topic modelling
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TopicModelingby Vladimirchizh
Research done by student of ITMO university Chizhevskiy Vladimir
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Similarity-Matrix-by-text-miningby sbhatt14
Generate similarity matrix of documents using NLTK. A brief description of a firm/organization is used as an example. Term Frequency- Inverse Document Frequency vectors of documents are created. Matrix is score is based on cosine similarity.
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dm_projectby KengoA
Final Project for Data Mining (IE500) at the University of Mannheim
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Capstone-Topic-Modelingby Rae-Jiang
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golos_economy_modelby cyberFund
Golos economy model
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NLP---Topic-Modeling-and-Recommendation-systemby hdev7
News article recommendations. LDA topic modeling. Model evaluation. Visualization of the topics.
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binder-gensim-malletby polsci
This repository is designed for students in DIGI405 at the University of Canterbury to do topic modeling through their browser using Binder. It is relevant for others who want to do topic modeling through a browser with their own corpus.
Jupyter Notebook 2Updated: 4 y ago License: No License (No License)
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ML101by nickbuker
Introductory discussions of machine learning topics
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ocean_model_grid_generatorby nikizadehgfdl
A tool to create a computational model grid (mesh) for GFDL MOM based ocean models
Python 2Updated: 3 y ago License: No License (No License)
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jjodelby DamianoNaraku
A metamodelling platform compatible with EMF/eCore
TypeScript 2Updated: 3 y ago License: No License (No License)
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Rgogoby ActPersp
An object-oriented actuarial modeling framework
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ncmwby manuelgloeckler
A metabolic modeling workflow for communities of organisms in an nasal medium.
Python 2Updated: 3 y ago License: Permissive (MIT)
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