DeployMe alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view mljet alternatives based on common mentions on social networks and blogs.

• tensorflow

  10.0 10.0 L1 DeployMe VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  

• scikit-learn

  9.9 9.8 L3 DeployMe VS scikit-learn

  scikit-learn: machine learning in Python
  

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• Keras

  9.9 9.9 L2 DeployMe VS Keras

  Deep Learning for humans
  

• xgboost

  9.8 9.3 L1 DeployMe VS 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

  9.8 3.6 DeployMe VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  

• CNTK

  9.6 0.0 L1 DeployMe VS CNTK

  Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
  

• PaddlePaddle

  9.6 10.0 L1 DeployMe VS 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）
  

• MLflow

  9.5 9.7 DeployMe VS MLflow

  Open source platform for the machine learning lifecycle
  

• MindsDB

  9.5 10.0 DeployMe VS MindsDB

  MindsDB connects AI models to real time data
  

• gensim

  9.5 8.5 L3 DeployMe VS gensim

  Topic Modelling for Humans
  

• Prophet

  9.5 8.0 DeployMe VS Prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
  

• TFLearn

  9.2 0.0 L3 DeployMe VS TFLearn

  Deep learning library featuring a higher-level API for TensorFlow.
  

• H2O

  8.8 9.5 DeployMe VS 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

  8.8 0.0 L3 DeployMe VS 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.
  

• Pyro.ai

  8.7 8.3 DeployMe VS Pyro.ai

  Deep universal probabilistic programming with Python and PyTorch
  

• Surprise

  8.4 0.0 L4 DeployMe VS Surprise

  A Python scikit for building and analyzing recommender systems

• srez

  8.3 0.0 L5 DeployMe VS srez

  Image super-resolution through deep learning

• LightFM

  8.0 6.4 L4 DeployMe VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  

• Pylearn2

  7.8 0.0 L2 DeployMe VS Pylearn2

  Warning: This project does not have any current developer. See bellow.
  

• Sacred

  7.6 5.7 DeployMe VS Sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  

• skflow

  7.6 1.3 L4 DeployMe VS skflow

  Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
  

• PyBrain

  7.6 0.0 L4 DeployMe VS PyBrain

  Another Python Machine Learning Library.

• Clairvoyant

  7.2 0.0 L3 DeployMe VS Clairvoyant

  Software designed to identify and monitor social/historical cues for short term stock movement

• python-recsys

  6.2 0.0 L4 DeployMe VS python-recsys

  A python library for implementing a recommender system

• Metrics

  6.2 0.0 DeployMe VS Metrics

  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

• karateclub

  6.1 4.9 DeployMe VS karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

• pydeep

  6.0 0.0 L3 DeployMe VS pydeep

  Deep learning in Python

• awesome-embedding-models

  6.0 0.0 DeployMe VS awesome-embedding-models

  A curated list of awesome embedding models tutorials, projects and communities.

• Crab

  5.7 0.0 L2 DeployMe VS 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).
  

• hebel

  5.0 0.0 L2 DeployMe VS hebel

  GPU-Accelerated Deep Learning Library in Python

• seqeval

  4.6 0.0 DeployMe VS seqeval

  A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
  

• adaptive

  4.5 7.3 DeployMe VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  

• TrueSkill, the video game rating system

  4.2 0.0 DeployMe VS TrueSkill, the video game rating system

  An implementation of the TrueSkill rating system for Python

• Xorbits

  4.2 8.3 DeployMe VS Xorbits

  Scalable Python DS & ML, in an API compatible & lightning fast way.
  

• SciKit-Learn Laboratory

  3.9 0.0 DeployMe VS SciKit-Learn Laboratory

  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  

• pdpipe

  3.9 0.0 DeployMe VS pdpipe

  Easy pipelines for pandas DataFrames.
  

• rwa

  3.8 0.0 L5 DeployMe VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average

• Feature Forge

  3.5 0.0 L4 DeployMe VS 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)

  3.3 7.9 DeployMe VS 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.
  

• nptyping

  3.2 0.0 DeployMe VS nptyping

  💡 Type hints for Numpy and Pandas

• brew

  3.2 0.0 L4 DeployMe VS brew

  Multiple Classifier Systems and Ensemble Learning Library in Python.

• bodywork

  3.1 0.0 DeployMe VS bodywork

  ML pipeline orchestration and model deployments on Kubernetes.
  

• MLP Classifier

  2.8 0.0 L4 DeployMe VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.

• redframes

  2.7 10.0 DeployMe VS redframes

  General Purpose Data Manipulation Library

• OptaPy

  2.7 0.0 DeployMe VS OptaPy

  OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
  

• vowpal_porpoise

  2.5 0.0 L3 DeployMe VS vowpal_porpoise

  lightweight python wrapper for vowpal wabbit

• openskill.py

  2.5 0.0 DeployMe VS openskill.py

  Multiplayer Rating System. No Friction.
  

• omega-ml

  1.8 3.9 DeployMe VS omega-ml

  MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

• ChaiPy

  1.5 0.0 DeployMe VS ChaiPy

  A developer interface for creating advanced chatbots for the Chai app.
  

• tfgraphviz

  1.4 0.0 L5 DeployMe VS tfgraphviz

  A visualization tool to show a TensorFlow's graph like TensorBoard

* 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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Popular Comparisons

• scikit-learn
  vs
  Keras
• PaddlePaddle
  vs
  tensorflow
• tensorflow
  vs
  scikit-learn
• Surprise
  vs
  LightFM
• tensorflow
  vs
  PyBrain

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