Awesome C++
Section: Machine Learning · 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, Flink and DataFlow. [Apache2]
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Appears in 11 awesome lists
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, Flink and DataFlow. [Apache2]
Section: Machine Learning · 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, Flink and DataFlow. [Apache2]
Section: Tools · Optimized distributed gradient boosting library for tree-based models.
Section: General Machine Learning Packages
Section: Frameworks for Training · Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library.
Section: C++ · A parallelized optimized general purpose gradient boosting library.
Section: 1. Core Frameworks & Libraries · Scalable, high-performance gradient boosting library. Still dominates Kaggle and tabular competitions.
Section: Computation and Communication Optimisation · XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.
Section: Machine Learning · A scalable, portable, and distributed gradient boosting library.
Section: Gradient Boosting · Scalable, Portable, and Distributed Gradient Boosting.
Section: Related Resources
Section: Machine Learning Frameworks · 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
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
Official TensorFlow repository of state-of-the-art (SOTA) models and modeling solutions. Contains reference implementations for BERT, ResNet, Transformer, and many more with pre-trained weights and training scripts. Apache 2.0 licensed.
Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.