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Machine Learning packages
Showing projects tagged as Machine Learning
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xgboost
9.8 9.7 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 10.0 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 6.7 PythonTool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. -
H2O
8.8 9.7 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. -
Silero Models
7.6 4.7 Jupyter NotebookSilero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple -
skflow
7.6 1.3 L4 PythonSimplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning -
Sacred
7.6 5.1 PythonSacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. -
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
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.