Alternatives and similar repositories for talks-and-workshops

Users that are interested in talks-and-workshops are comparing it to the libraries listed below

• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆156Updated 3 weeks ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆119Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 11 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated 3 weeks ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆57Updated last year
• Quilograma / ConformalPredictionTutorial
  ☆42Updated 3 years ago
• ostojanovic / causalML
  ☆33Updated last year
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆76Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆45Updated 3 weeks ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago
• ran-xie / boosted-conformal
  ☆41Updated 10 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• AndreCNF / shap-variable-sequence-pytorch-debug
  ☆18Updated 2 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated 2 years ago
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆51Updated this week
• numeristical / resources
  A collection of resources for learning and research.
  ☆97Updated 6 months ago
• mloning / intro-to-ml-with-time-series-DSSGx-2020
  Python tutorial on machine learning with time series for DSSGx 2020
  ☆23Updated 5 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 6 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆139Updated 8 months ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 5 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆135Updated 4 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆58Updated last year
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆69Updated 2 years ago