dmlc / xgboostLinks
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
☆27,063Updated this week
Alternatives and similar repositories for xgboost
Users that are interested in xgboost are comparing it to the libraries listed below
Sorting:
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆17,353Updated this week
- Deep Learning for humans☆63,169Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,519Updated this week
- scikit-learn: machine learning in Python☆62,496Updated this week
- Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…☆9,947Updated last year
- Automated Machine Learning with scikit-learn☆7,866Updated last week
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,442Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,440Updated last month
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆91,136Updated this week
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆19,351Updated last month
- SciPy library main repository☆13,757Updated this week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,006Updated 2 weeks ago
- Statsmodels: statistical modeling and econometrics in Python☆10,774Updated last week
- The fundamental package for scientific computing with Python.☆29,781Updated this week
- Models and examples built with TensorFlow☆77,596Updated last week
- A game theoretic approach to explain the output of any machine learning model.☆24,063Updated this week
- An open source python library for automated feature engineering☆7,481Updated 2 weeks ago
- Lime: Explaining the predictions of any machine learning classifier☆11,921Updated 11 months ago
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆37,737Updated this week
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,928Updated last month
- AutoML library for deep learning☆9,239Updated 6 months ago
- Deep universal probabilistic programming with Python and PyTorch☆8,808Updated 2 months ago
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,210Updated this week
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆20,801Updated last year
- TensorFlow's Visualization Toolkit☆6,909Updated last week
- Caffe: a fast open framework for deep learning.☆34,439Updated 11 months ago
- NumPy & SciPy for GPU☆10,304Updated this week
- Open standard for machine learning interoperability☆19,169Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,063Updated last week
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,034Updated 2 weeks ago