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
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 5 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
• firmai / reddit-data-science-project-ideas
  Reddit Data Science Project Ideas
  ☆11Updated 6 years ago
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 6 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 3 years ago
• ehsanma / IDS-566
  Advanced Text Analytics for Business
  ☆15Updated 7 years ago
• fastai / sklearn-pandas
  Pandas integration with sklearn
  ☆21Updated 9 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 4 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• noahgift / or
  Operations Research Algorithms
  ☆19Updated last year
• 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
• veritas-project / phase1
  ☆21Updated 5 years ago
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆33Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 4 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• AlexIoannides / llm-regression
  Exploring the classical regression capabilities of LLMs.
  ☆18Updated last year
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆81Updated 4 years ago
• snorkel-team / snorkel-zoo
  A collection of utilities for writing labeling functions, transformation functions, and slicing functions.
  ☆22Updated 5 years ago
• firmai / business-datasets
  A selection of business datasets
  ☆18Updated 6 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• yhilpisch / dnanlp
  Python codes and Jupyter Notebooks for the Dow Jones DNA NLP applied research paper.
  ☆16Updated 7 years ago
• rajat5ranjan / AV-Quantum-Black-Data-Engineering-Hackathon
  Quantum Black Hackathon organised by Analytics Vidya
  ☆13Updated 6 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 5 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• nckwhiteley / volatility-change-points
  Dynamic time series clustering via volatility change-points
  ☆16Updated 6 years ago