brew alternatives and similar packages

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

• tensorflow

  10.0 10.0 L1 brew VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  

• Keras

  9.9 8.8 L2 brew VS Keras

  Deep Learning for humans
  

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• scikit-learn

  9.9 9.8 L3 brew VS scikit-learn

  scikit-learn: machine learning in Python
  

• xgboost

  9.8 9.4 L1 brew 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 4.9 brew VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  

• CNTK

  9.6 0.0 L1 brew VS CNTK

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

• PaddlePaddle

  9.6 9.9 L1 brew 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）
  

• Prophet

  9.5 8.1 brew 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 8.9 L3 brew VS gensim

  Topic Modelling for Humans
  

• TFLearn

  9.3 2.5 L3 brew VS TFLearn

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

• MLflow

  9.3 9.6 brew VS MLflow

  Open source platform for the machine learning lifecycle
  

• NuPIC

  9.0 0.0 L3 brew 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.
  

• H2O

  8.9 9.9 brew 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.
  

• Surprise

  8.4 0.2 L4 brew VS Surprise

  A Python scikit for building and analyzing recommender systems

• srez

  8.4 0.0 L5 brew VS srez

  Image super-resolution through deep learning

• Pylearn2

  8.1 0.0 L2 brew VS Pylearn2

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

• MindsDB

  7.9 9.9 brew VS MindsDB

  Predictive AI layer for existing databases.
  

• PyBrain

  7.9 0.0 L4 brew VS PyBrain

  Another Python Machine Learning Library.

• LightFM

  7.9 5.3 L4 brew VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  

• skflow

  7.7 0.0 L4 brew VS skflow

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

• Sacred

  7.6 5.6 brew VS Sacred

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

• Clairvoyant

  7.4 1.1 L3 brew VS Clairvoyant

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

• Metrics

  6.4 0.0 brew VS Metrics

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

• python-recsys

  6.4 0.0 L4 brew VS python-recsys

  A python library for implementing a recommender system

• pydeep

  6.2 0.0 L3 brew VS pydeep

  Deep learning in Python

• awesome-embedding-models

  6.1 0.0 brew VS awesome-embedding-models

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

• Crab

  5.9 0.0 L2 brew 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).
  

• karateclub

  5.4 8.9 brew VS karateclub

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

• hebel

  5.3 0.0 L2 brew VS hebel

  GPU-Accelerated Deep Learning Library in Python

• SciKit-Learn Laboratory

  3.9 8.7 brew VS SciKit-Learn Laboratory

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

• rwa

  3.9 0.0 L5 brew VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average

• adaptive

  3.9 8.1 brew VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  

• seqeval

  3.9 6.1 brew VS seqeval

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

• pdpipe

  3.7 3.9 brew VS pdpipe

  Easy pipelines for pandas DataFrames.
  

• Feature Forge

  3.5 0.0 L4 brew 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)

  2.8 9.5 brew 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.
  

• MLP Classifier

  2.7 0.0 L4 brew VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.

• bodywork

  2.6 9.6 brew VS bodywork

  MLOps tool for deploying machine learning projects to Kubernetes.
  

• vowpal_porpoise

  2.5 0.0 L3 brew VS vowpal_porpoise

  lightweight python wrapper for vowpal wabbit

• nptyping

  2.5 5.9 brew VS nptyping

  💡 Type hints for Numpy

• neptune-contrib

  1.3 4.9 brew VS neptune-contrib

  Tools, helpers and everything else that helps you work with Neptune.
  

• tfgraphviz

  1.3 3.4 L5 brew VS tfgraphviz

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

• Simple GAN

  0.6 0.0 brew VS Simple GAN

  Attempt at implementation of a simple GAN using Keras

* Code Quality Rankings and insights are calculated and provided by Lumnify.
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Popular Comparisons

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