Description
Xorbits is a scalable Python data science framework that aims to scale the whole Python data science world,including numpy, pandas, scikit-learn and many other libraries. It can leverage multi cores or GPUs to accelerate computation on a single machine, or scale out up to thousands of machines to support processing terabytes of data. In our benchmark test, Xorbits is the fastest framework among the most popular distributed data science frameworks.
Xorbits alternatives and similar packages
Based on the "Machine Learning" category.
Alternatively, view xorbits alternatives based on common mentions on social networks and blogs.
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tensorflow
An Open Source Machine Learning Framework for Everyone -
xgboost
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 -
gym
A toolkit for developing and comparing reinforcement learning algorithms. -
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit -
PaddlePaddle
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
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MindsDB
MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship AI powered projects to production in a fast and scalable way. -
TFLearn
Deep learning library featuring a higher-level API for TensorFlow. -
H2O
H2O 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
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex. -
Surprise
A Python scikit for building and analyzing recommender systems -
Pylearn2
Warning: This project does not have any current developer. See bellow. -
LightFM
A Python implementation of LightFM, a hybrid recommendation algorithm. -
Sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. -
skflow
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning -
Clairvoyant
Software designed to identify and monitor social/historical cues for short term stock movement -
python-recsys
A python library for implementing a recommender system -
Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave -
awesome-embedding-models
A curated list of awesome embedding models tutorials, projects and communities. -
karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) -
Crab
Crab 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
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) -
adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions -
TrueSkill, the video game rating system
An implementation of the TrueSkill rating system for Python -
rwa
Machine Learning on Sequential Data Using a Recurrent Weighted Average -
SciKit-Learn Laboratory
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. -
Feature Forge
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API -
Data Flow Facilitator for Machine Learning (dffml)
The 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. -
brew
Multiple Classifier Systems and Ensemble Learning Library in Python. -
bodywork
ML pipeline orchestration and model deployments on Kubernetes, made really easy. -
MLP Classifier
A handwritten multilayer perceptron classifer using numpy. -
OptaPy
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems. -
omega-ml
MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle -
ChaiPy
A developer interface for creating advanced chatbots for the Chai app. -
tfgraphviz
A visualization tool to show a TensorFlow's graph like TensorBoard -
neptune-contrib
This library is a location of the LegacyLogger for PyTorch Lightning.
Access the most powerful time series database as a service
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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