Alternatives and similar repositories for lleaves

Users that are interested in lleaves are comparing it to the libraries listed below

• pytorch / torcharrow
  High performance model preprocessing library on PyTorch
  ☆644Updated last year
• rapidsai / gputreeshap
  ☆103Updated last month
• NVIDIA-Merlin / NVTabular
  NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…
  ☆1,126Updated 2 weeks ago
• google / yggdrasil-decision-forests
  A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Tre…
  ☆619Updated this week
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆152Updated last year
• NVIDIA-Merlin / dataloader
  The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
  ☆421Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆154Updated last year
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆343Updated 3 months ago
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆641Updated last week
• nums-project / nums
  A library that translates Python and NumPy to optimized distributed systems code.
  ☆131Updated 3 years ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆432Updated last year
• ARM-software / mango
  Parallel Hyperparameter Tuning in Python
  ☆418Updated 8 months ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆545Updated 2 years ago
• triton-inference-server / fil_backend
  FIL backend for the Triton Inference Server
  ☆83Updated this week
• dmlc / tl2cgen
  TL2cgen (TreeLite 2 C GENerator) is a model compiler for decision tree models
  ☆41Updated 3 weeks ago
• zzd1992 / GBDTMO
  Gradient boosted decision trees for multiple outputs. Better generalization ability, faster training and inference.
  ☆47Updated 9 months ago
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆361Updated last week
• optuna / optuna-integration
  Extended functionalities for Optuna in combination with third-party libraries.
  ☆59Updated this week
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆286Updated last week
• ADAPT-uiuc / dias
  Dias: Dynamic Rewriting of Pandas Code
  ☆80Updated 3 months ago
• google / rax
  Rax is a Learning-to-Rank library written in JAX.
  ☆334Updated 2 months ago
• azmyrajab / polars_ols
  Polars least squares extension - enables fast linear model polar expressions
  ☆184Updated last week
• tunguz / TabularBenchmarks
  ☆201Updated 3 weeks ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 7 months ago
• SimonBlanke / Hyperactive
  An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
  ☆527Updated 2 weeks ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• getml / getml-community
  Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
  ☆229Updated 2 weeks ago
• sbadirli / GrowNet
  ☆205Updated 3 years ago
• firmai / deltapy
  DeltaPy - Tabular Data Augmentation (by @firmai)
  ☆555Updated 2 years ago