Pylearn2 alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view Pylearn2 alternatives based on common mentions on social networks and blogs.

• tensorflow

  10.0 10.0 L1 Pylearn2 VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  

• Keras

  9.9 9.6 L2 Pylearn2 VS Keras

  Deep Learning for humans
  

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• scikit-learn

  9.9 9.9 L3 Pylearn2 VS scikit-learn

  scikit-learn: machine learning in Python
  

• xgboost

  9.8 9.4 L1 Pylearn2 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 9.5 Pylearn2 VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  

• PaddlePaddle

  9.6 10.0 L1 Pylearn2 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 2.9 L1 Pylearn2 VS CNTK

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

• Prophet

  9.5 6.6 Pylearn2 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 8.4 L3 Pylearn2 VS gensim

  Topic Modelling for Humans
  

• MLflow

  9.4 9.7 Pylearn2 VS MLflow

  Open source platform for the machine learning lifecycle
  

• TFLearn

  9.3 0.0 L3 Pylearn2 VS TFLearn

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

• MindsDB

  9.3 10.0 Pylearn2 VS MindsDB

  In-Database Machine Learning
  

• NuPIC

  8.9 0.0 L3 Pylearn2 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

  8.8 9.8 Pylearn2 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 8.6 Pylearn2 VS Pyro.ai

  Deep universal probabilistic programming with Python and PyTorch
  

• Surprise

  8.4 8.0 L4 Pylearn2 VS Surprise

  A Python scikit for building and analyzing recommender systems

• srez

  8.3 0.0 L5 Pylearn2 VS srez

  Image super-resolution through deep learning

• LightFM

  7.9 5.3 L4 Pylearn2 VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  

• PyBrain

  7.7 0.0 L4 Pylearn2 VS PyBrain

  Another Python Machine Learning Library.

• skflow

  7.6 1.3 L4 Pylearn2 VS skflow

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

• Sacred

  7.6 5.0 Pylearn2 VS Sacred

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

• Clairvoyant

  7.3 0.0 L3 Pylearn2 VS Clairvoyant

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

• Metrics

  6.3 0.0 Pylearn2 VS Metrics

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

• python-recsys

  6.3 0.0 L4 Pylearn2 VS python-recsys

  A python library for implementing a recommender system

• pydeep

  6.0 0.0 L3 Pylearn2 VS pydeep

  Deep learning in Python

• karateclub

  5.9 8.5 Pylearn2 VS karateclub

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

• awesome-embedding-models

  5.9 0.0 Pylearn2 VS awesome-embedding-models

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

• Crab

  5.7 0.0 L2 Pylearn2 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 Pylearn2 VS hebel

  GPU-Accelerated Deep Learning Library in Python

• seqeval

  4.4 0.0 Pylearn2 VS seqeval

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

• TrueSkill, the video game rating system

  4.1 1.7 Pylearn2 VS TrueSkill, the video game rating system

  An implementation of the TrueSkill rating system for Python

• adaptive

  4.0 6.5 Pylearn2 VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  

• rwa

  3.9 0.0 L5 Pylearn2 VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average

• pdpipe

  3.9 8.3 Pylearn2 VS pdpipe

  Easy pipelines for pandas DataFrames.
  

• SciKit-Learn Laboratory

  3.8 0.0 Pylearn2 VS SciKit-Learn Laboratory

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

• Feature Forge

  3.5 0.0 L4 Pylearn2 VS Feature Forge

  A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
  

• brew

  3.2 0.0 L4 Pylearn2 VS brew

  Multiple Classifier Systems and Ensemble Learning Library in Python.

• Data Flow Facilitator for Machine Learning (dffml)

  3.2 7.2 Pylearn2 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.
  

• bodywork

  3.0 9.0 Pylearn2 VS bodywork

  ML pipeline orchestration and model deployments on Kubernetes, made really easy.
  

• nptyping

  2.9 6.4 Pylearn2 VS nptyping

  💡 Type hints for Numpy

• MLP Classifier

  2.7 0.0 L4 Pylearn2 VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.

• redframes

  2.5 10.0 Pylearn2 VS redframes

  General Purpose Data Manipulation Library

• OptaPy

  2.4 8.2 Pylearn2 VS OptaPy

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

• vowpal_porpoise

  2.4 0.0 L3 Pylearn2 VS vowpal_porpoise

  lightweight python wrapper for vowpal wabbit

• openskill.py

  2.1 6.7 Pylearn2 VS openskill.py

  Multiplayer rating system. Better than Elo.
  

• omega-ml

  1.6 9.0 Pylearn2 VS omega-ml

  Python analytics made easy - an open source DataOps, MLOps platform for humans

• neptune-contrib

  1.4 0.0 Pylearn2 VS neptune-contrib

  This library is a location of the LegacyLogger for PyTorch Lightning.
  

• tfgraphviz

  1.3 0.0 L5 Pylearn2 VS tfgraphviz

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

• ChaiPy

  1.2 1.7 Pylearn2 VS ChaiPy

  A developer interface for creating Chat AIs for the Chai app.
  

• DeployMe

  1.2 10.0 Pylearn2 VS DeployMe

  Minimalistic ML-models auto deployment tool

* 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

• Pylearn2
  vs
  Keras
• Pylearn2
  vs
  scikit-learn
• Pylearn2
  vs
  tensorflow
• Pylearn2
  vs
  PyBrain
• Pylearn2
  vs
  SciKit-Learn Laboratory

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