dreamquark-ai / tabnet

Related projects: ⓘ

• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,318Updated this week
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆869Updated last month
• lucidrains / tab-transformer-pytorch
  Implementation of TabTransformer, attention network for tabular data, in Pytorch
  ☆780Updated 9 months ago
• automl / TabPFN
  Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
  ☆1,175Updated 4 months ago
• jrzaurin / pytorch-widedeep
  A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
  ☆1,273Updated this week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,639Updated 6 months ago
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆4,810Updated this week
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,379Updated 2 months ago
• jdb78 / pytorch-forecasting
  Time series forecasting with PyTorch
  ☆3,866Updated this week
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,206Updated last month
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,348Updated 5 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,362Updated last month
• sdv-dev / CTGAN
  Conditional GAN for generating synthetic tabular data.
  ☆1,233Updated last week
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,335Updated 5 months ago
• mljar / mljar-supervised
  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
  ☆3,003Updated last week
• optuna / optuna
  A hyperparameter optimization framework
  ☆10,527Updated last week
• zalandoresearch / pytorch-ts
  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
  ☆1,234Updated 3 months ago
• timeseriesAI / tsai
  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…
  ☆5,107Updated 4 months ago
• optuna / optuna-examples
  Examples for https://github.com/optuna/optuna
  ☆666Updated 2 weeks ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,801Updated last week
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆472Updated 3 years ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,211Updated this week
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆1,854Updated last week
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,400Updated 5 months ago
• Nixtla / neuralforecast
  Scalable and user friendly neural forecasting algorithms.
  ☆2,934Updated this week
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,158Updated this week
• uber / causalml
  Uplift modeling and causal inference with machine learning algorithms
  ☆4,977Updated this week
• autogluon / autogluon
  Fast and Accurate ML in 3 Lines of Code
  ☆7,646Updated this week
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,012Updated 5 months ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆814Updated 8 months ago