microsoft / LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
☆17,086Updated this week
Alternatives and similar repositories for LightGBM:
Users that are interested in LightGBM are comparing it to the libraries listed below
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆26,772Updated last week
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆20,795Updated last year
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,953Updated last month
- Deep Learning for humans☆62,819Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,708Updated 3 weeks ago
- Open standard for machine learning interoperability☆18,718Updated this week
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,332Updated this week
- Deep learning library featuring a higher-level API for TensorFlow.☆9,620Updated 10 months ago
- Caffe: a fast open framework for deep learning.☆34,287Updated 8 months ago
- Models and examples built with TensorFlow☆77,472Updated last week
- scikit-learn: machine learning in Python☆61,614Updated this week
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆4,988Updated 2 months ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,378Updated 2 months ago
- An open source python library for automated feature engineering☆7,405Updated 2 weeks ago
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆19,022Updated 5 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,837Updated last year
- Visualizations for machine learning datasets☆7,366Updated last year
- Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…☆9,934Updated last year
- Statsmodels: statistical modeling and econometrics in Python☆10,545Updated this week
- Uniform Manifold Approximation and Projection☆7,695Updated last month
- Automated Machine Learning with scikit-learn☆7,789Updated 2 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,874Updated last month
- Lime: Explaining the predictions of any machine learning classifier☆11,827Updated 8 months ago
- Bayesian Modeling and Probabilistic Programming in Python☆8,950Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,439Updated 2 months ago
- Efficiently computes derivatives of NumPy code.☆7,210Updated last week
- A scikit-learn compatible neural network library that wraps PyTorch☆5,991Updated last week
- Automatic extraction of relevant features from time series:☆8,682Updated last month
- A hyperparameter optimization framework☆11,641Updated this week
- Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit☆17,562Updated 2 years ago