53 Machine Learning packages and projects
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xgboost
9.8 9.5 L1 C++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 -
PaddlePaddle
9.6 9.9 L1 C++PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署) -
Prophet
9.5 6.5 PythonTool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. -
H2O
8.8 9.5 Jupyter NotebookH2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. -
NuPIC
8.8 0.0 L3 PythonNumenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex. -
Sacred
7.6 6.4 PythonSacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. -
skflow
7.6 1.3 L4 PythonSimplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning -
Clairvoyant
7.2 0.0 L3 PythonSoftware designed to identify and monitor social/historical cues for short term stock movement -
Metrics
6.2 0.0 PythonMachine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave -
karateclub
6.1 6.0 PythonKarate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) -
awesome-embedding-models
6.0 0.0 Jupyter NotebookA curated list of awesome embedding models tutorials, projects and communities. -
Crab
5.7 0.0 L2 PythonCrab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib). -
seqeval
4.5 0.0 PythonA Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) -
adaptive
4.5 8.1 Python:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions -
TrueSkill, the video game rating system
4.2 0.0 PythonAn implementation of the TrueSkill rating system for Python -
SciKit-Learn Laboratory
3.8 0.0 PythonSciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. -
Feature Forge
3.5 0.0 L4 PythonA set of tools for creating and testing machine learning features, with a scikit-learn compatible API -
Data Flow Facilitator for Machine Learning (dffml)
3.3 8.3 PythonThe easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease. -
OptaPy
2.7 0.0 JavaOptaPy is an AI constraint solver for Python to optimize planning and scheduling problems. -
neptune-contrib
1.4 0.0 PythonThis library is a location of the LegacyLogger for PyTorch Lightning.
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* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.