Alternatives and similar repositories for neurips-autogluon-workshop

Users that are interested in neurips-autogluon-workshop are comparing it to the libraries listed below

• Innixma / kdd-2022-multimodal-automl-tutorial
  ☆16Updated 2 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• coveooss / shopper-intent-prediction-nature-2020
  🏟
  ☆27Updated 4 years ago
• QueensGambit / PGM-Causal-Reasoning
  Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship
  ☆9Updated 6 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 5 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• ikatsov / tensor-house-data
  Datasets for the TensorHouse project
  ☆19Updated last year
• MichalOleszak / KnowledgeBank
  Resources and notes on programming, machine learning and data science
  ☆13Updated 3 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• yandex-research / tabgraphs
  A benchmark of meaningful graph datasets with tabular node features
  ☆13Updated 3 months ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years ago
• a-lucic / focus
  ☆16Updated 3 years ago
• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆29Updated last year
• chyikwei / bnp
  Bayesian nonparametric models for python
  ☆18Updated 6 years ago
• sunfanyunn / CS224w
  ☆11Updated 2 years ago
• dbenielli / scikit-multimodallearn
  This Python package implements algorithms for multiviews (multimodals) learning
  ☆14Updated 7 months ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• seharanul17 / synthetic-tabular-LLM
  ☆12Updated 5 months ago
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆14Updated 5 years ago
• jpmorganchase / cf-shap
  Counterfactual SHAP: a framework for counterfactual feature importance
  ☆20Updated last year
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 5 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• jameslamb / lightgbm-dask-testing
  Test LightGBM's Dask integration on different cluster types
  ☆12Updated 3 weeks ago
• januverma / transformers-for-sequential-recommendation
  Notebooks on using transformers for sequential recommendation tasks
  ☆16Updated 2 years ago
• tabpfn-anonym / TabPFNAnonym
  ☆15Updated 2 years ago
• cpapadimitriou / Click-Through-Rate-prediction
  ☆10Updated 5 years ago