Alternatives and similar repositories for topic-modeling

Users that are interested in topic-modeling are comparing it to the libraries listed below

• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 6 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• firmai / python-for-finance
  ☆14Updated 6 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 6 years ago
• firmai / reddit-data-science-project-ideas
  Reddit Data Science Project Ideas
  ☆11Updated 5 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 2 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• Elsemary / Actuarial-Reserve-Risk-Classification-with-Gaussian-Mixture
  Classification of reserve risk with chain-ladder
  ☆12Updated 6 years ago
• yhilpisch / dnanlp
  Python codes and Jupyter Notebooks for the Dow Jones DNA NLP applied research paper.
  ☆16Updated 6 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 2 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• ehsanma / IDS-566
  Advanced Text Analytics for Business
  ☆15Updated 7 years ago
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 6 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• gkamradt / time-series-cheat-sheet
  Quick cheat sheet to time series models using NYC Taxi Data
  ☆16Updated 6 years ago
• ChicagoBoothML / MachineLearning_Fall2015
  BUS 41204: Machine Learning
  ☆35Updated 5 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated last year
• LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
  Causal Inference Using Quasi-Experimental Methods
  ☆20Updated 4 years ago
• klostest / uplift_modeling
  ☆17Updated 5 years ago
• veritas-project / phase1
  ☆20Updated 4 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• yiaktan / Secondhand_Concert_Tickets
  ☆17Updated 7 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated last year
• ryanholbrook / critical-transitions
  Detecting critical transitions in financial networks with topological data analysis.
  ☆16Updated 6 years ago