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
☆27,966Updated 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 …☆18,064Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,663Updated 2 months ago
- scikit-learn: machine learning in Python☆64,892Updated this week
- Deep Learning for humans☆63,756Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,609Updated 2 weeks ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,080Updated this week
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,781Updated last week
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,805Updated last year
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆20,835Updated 2 years ago
- Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…☆9,982Updated 2 years ago
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆19,982Updated this week
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,047Updated 4 months ago
- Visualizations for machine learning datasets☆7,373Updated 2 years ago
- Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allredu…☆8,648Updated last week
- Topic Modelling for Humans☆16,343Updated 3 months ago
- Deep universal probabilistic programming with Python and PyTorch☆8,966Updated 6 months ago
- Automated Machine Learning with scikit-learn☆8,047Updated 2 weeks ago
- Parallel computing with task scheduling☆13,727Updated this week
- Caffe: a fast open framework for deep learning.☆34,833Updated last year
- AutoML library for deep learning☆9,290Updated 2 months ago
- Statsmodels: statistical modeling and econometrics in Python☆11,232Updated 3 weeks ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆34,794Updated this week
- Automatic extraction of relevant features from time series:☆9,103Updated 2 months ago
- Deep learning library featuring a higher-level API for TensorFlow.☆9,610Updated last year
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆41,069Updated this week
- TensorFlow's Visualization Toolkit☆7,104Updated this week
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,497Updated last week
- The fastai deep learning library☆27,819Updated last week
- An Open Source Machine Learning Framework for Everyone☆193,617Updated this week
- A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.☆10,216Updated last week