siboehm / lleaves
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
☆416Updated last week
Alternatives and similar repositories for lleaves
Users that are interested in lleaves are comparing it to the libraries listed below
Sorting:
- Universal model exchange and serialization format for decision tree forests☆769Updated this week
- High performance model preprocessing library on PyTorch☆650Updated last year
- Probabilistic Gradient Boosting Machines☆153Updated last year
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆418Updated last year
- ☆98Updated last month
- An extension of LightGBM to probabilistic modelling☆308Updated 11 months ago
- Distributed XGBoost on Ray☆148Updated 10 months ago
- Combining tree-boosting with Gaussian process and mixed effects models☆607Updated this week
- Probabilistic prediction with XGBoost.☆109Updated last month
- DeltaPy - Tabular Data Augmentation (by @firmai)☆545Updated last year
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,083Updated 8 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆521Updated last month
- ☆199Updated last week
- Convert scikit-learn models and pipelines to ONNX☆582Updated last week
- High performance Python GLMs with all the features!☆334Updated this week
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆487Updated 4 years ago
- A stand-alone implementation of several NumPy dtype extensions used in machine learning.☆262Updated this week
- Pandas ExtensionDType/Array backed by Apache Arrow☆230Updated 2 years ago
- An open-source efficient deep learning framework/compiler, written in python.☆696Updated this week
- All Relevant Feature Selection☆134Updated last month
- Fast SHAP value computation for interpreting tree-based models☆539Updated last year
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,044Updated last year
- scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently suppo…☆117Updated last week
- implementation of Cyclic Boosting machine learning algorithms☆88Updated 8 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆267Updated last week
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆362Updated last week
- Hopular: Modern Hopfield Networks for Tabular Data☆311Updated 2 years ago
- ThunderGBM: Fast GBDTs and Random Forests on GPUs☆699Updated last month
- Predict time-series with one line of code.☆423Updated 6 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆195Updated last year