omega-ml alternatives and similar packages

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

• tensorflow

  10.0 10.0 L1 omega-ml VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  

• Keras

  9.9 9.9 L2 omega-ml VS Keras

  Deep Learning for humans
  

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• scikit-learn

  9.9 9.9 L3 omega-ml VS scikit-learn

  scikit-learn: machine learning in Python
  

• gym

  9.8 0.0 omega-ml VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  

• xgboost

  9.8 9.6 L1 omega-ml 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
  

• PaddlePaddle

  9.6 10.0 L1 omega-ml 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）
  

• CNTK

  9.6 0.0 L1 omega-ml VS CNTK

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

• Prophet

  9.5 6.2 omega-ml VS Prophet

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

• gensim

  9.5 7.5 L3 omega-ml VS gensim

  Topic Modelling for Humans
  

• MLflow

  9.5 9.9 omega-ml VS MLflow

  Open source platform for the machine learning lifecycle
  

• MindsDB

  9.5 10.0 omega-ml VS MindsDB

  The platform for customizing AI from enterprise data
  

• TFLearn

  9.1 0.0 L3 omega-ml VS TFLearn

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

• NuPIC

  8.8 0.0 L3 omega-ml 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.
  

• dspy

  8.8 9.9 omega-ml VS dspy

  DSPy: The framework for programming—not prompting—foundation models
  

• H2O

  8.8 9.7 omega-ml 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.
  

• Pyro.ai

  8.7 8.4 omega-ml VS Pyro.ai

  Deep universal probabilistic programming with Python and PyTorch
  

• Surprise

  8.4 0.0 L4 omega-ml VS Surprise

  A Python scikit for building and analyzing recommender systems

• srez

  8.3 0.0 L5 omega-ml VS srez

  Image super-resolution through deep learning

• LightFM

  7.9 4.8 L4 omega-ml VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  

• Pylearn2

  7.8 0.0 L2 omega-ml VS Pylearn2

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

• skflow

  7.6 1.3 L4 omega-ml VS skflow

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

• Sacred

  7.5 3.5 omega-ml VS Sacred

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

• PyBrain

  7.5 0.0 L4 omega-ml VS PyBrain

  Another Python Machine Learning Library.

• Clairvoyant

  7.2 0.0 L3 omega-ml VS Clairvoyant

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

• Metrics

  6.2 0.0 omega-ml VS Metrics

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

• python-recsys

  6.2 0.0 L4 omega-ml VS python-recsys

  A python library for implementing a recommender system

• karateclub

  6.1 7.0 omega-ml VS karateclub

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

• awesome-embedding-models

  6.0 0.0 omega-ml VS awesome-embedding-models

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

• pydeep

  5.9 0.0 L3 omega-ml VS pydeep

  Deep learning in Python

• Crab

  5.7 0.0 L2 omega-ml 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 omega-ml VS hebel

  GPU-Accelerated Deep Learning Library in Python

• seqeval

  4.6 0.0 omega-ml VS seqeval

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

• adaptive

  4.5 6.3 omega-ml VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  

• Xorbits

  4.4 8.8 omega-ml VS Xorbits

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

• TrueSkill, the video game rating system

  4.2 1.4 omega-ml VS TrueSkill, the video game rating system

  An implementation of the TrueSkill rating system for Python

• SciKit-Learn Laboratory

  3.9 8.7 omega-ml VS SciKit-Learn Laboratory

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

• pdpipe

  3.9 0.0 omega-ml VS pdpipe

  Easy pipelines for pandas DataFrames.
  

• rwa

  3.8 0.0 L5 omega-ml VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average

• Feature Forge

  3.5 0.0 L4 omega-ml 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 9.0 omega-ml 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

  3.3 0.0 omega-ml VS nptyping

  💡 Type hints for Numpy and Pandas

• brew

  3.2 0.0 L4 omega-ml VS brew

  Multiple Classifier Systems and Ensemble Learning Library in Python.

• bodywork

  3.1 0.0 omega-ml VS bodywork

  ML pipeline orchestration and model deployments on Kubernetes.
  

• Robocorp Action Server

  3.0 9.8 omega-ml VS Robocorp Action Server

  Create 🐍 Python AI Actions and 🤖 Automations, and deploy & operate them anywhere
  

• MLP Classifier

  2.8 0.0 L4 omega-ml VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.

• OptaPy

  2.7 5.5 omega-ml VS OptaPy

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

• redframes

  2.7 1.4 omega-ml VS redframes

  General Purpose Data Manipulation Library

• vowpal_porpoise

  2.5 0.0 L3 omega-ml VS vowpal_porpoise

  lightweight python wrapper for vowpal wabbit

• openskill.py

  2.5 7.5 omega-ml VS openskill.py

  Multiplayer Rating System. No Friction.
  

• ChaiPy

  1.5 0.0 omega-ml VS ChaiPy

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

* 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

• omega-ml
  vs
  NuPIC
• omega-ml
  vs
  MLflow
• scikit-learn
  vs
  Keras
• tensorflow
  vs
  PaddlePaddle
• LightFM
  vs
  Surprise

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