Feature Forge alternatives and similar packages

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

• tensorflow

  10.0 10.0 L1 Feature Forge VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  

• scikit-learn

  10.0 9.9 L3 Feature Forge VS scikit-learn

  scikit-learn: machine learning in Python
  

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• Keras

  9.9 9.8 L2 Feature Forge VS Keras

  Deep Learning for humans
  

• gym

  9.8 0.0 Feature Forge VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  

• xgboost

  9.7 9.7 L1 Feature Forge 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
  

• MindsDB

  9.7 9.9 Feature Forge VS MindsDB

  AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
  

• PaddlePaddle

  9.6 10.0 L1 Feature Forge 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 7.0 Feature Forge VS Prophet

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

• CNTK

  9.5 0.0 L1 Feature Forge VS CNTK

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

• MLflow

  9.5 9.9 Feature Forge VS MLflow

  Open source platform for the machine learning lifecycle
  

• dspy

  9.5 9.9 Feature Forge VS dspy

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

• gensim

  9.4 5.7 L3 Feature Forge VS gensim

  Topic Modelling for Humans
  

• TFLearn

  9.1 0.0 L3 Feature Forge VS TFLearn

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

• NuPIC

  8.8 0.0 L3 Feature Forge VS NuPIC

  DISCONTINUED. 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

  8.7 9.0 Feature Forge 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

  8.6 7.6 Feature Forge VS Pyro.ai

  Deep universal probabilistic programming with Python and PyTorch
  

• Surprise

  8.4 5.1 L4 Feature Forge VS Surprise

  A Python scikit for building and analyzing recommender systems
  

• srez

  8.3 0.0 L5 Feature Forge VS srez

  DISCONTINUED. Image super-resolution through deep learning

• LightFM

  7.9 0.0 L4 Feature Forge VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  

• Pylearn2

  7.7 0.0 L2 Feature Forge VS Pylearn2

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

• skflow

  7.6 1.3 L4 Feature Forge VS skflow

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

• Sacred

  7.5 5.4 Feature Forge VS Sacred

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

• PyBrain

  7.5 0.0 L4 Feature Forge VS PyBrain

  Another Python Machine Learning Library.
  

• Atomic Agents

  7.1 9.6 Feature Forge VS Atomic Agents

  Building AI agents, atomically
  

• Clairvoyant

  7.1 2.1 L3 Feature Forge VS Clairvoyant

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

• garak, LLM vulnerability scanner

  6.3 9.8 Feature Forge VS garak, LLM vulnerability scanner

  DISCONTINUED. the LLM vulnerability scanner [Moved to: https://github.com/NVIDIA/garak]
  

• karateclub

  6.2 6.7 Feature Forge VS karateclub

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

• python-recsys

  6.1 0.0 L4 Feature Forge VS python-recsys

  A python library for implementing a recommender system
  

• Metrics

  6.1 0.0 Feature Forge VS Metrics

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

• awesome-embedding-models

  6.0 0.0 Feature Forge VS awesome-embedding-models

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

• pydeep

  5.8 0.0 L3 Feature Forge VS pydeep

  Deep learning in Python
  

• Crab

  5.6 0.0 L2 Feature Forge 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 Feature Forge VS hebel

  GPU-Accelerated Deep Learning Library in Python
  

• seqeval

  4.7 2.6 Feature Forge VS seqeval

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

• Xorbits

  4.7 7.8 Feature Forge VS Xorbits

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

• adaptive

  4.6 6.3 Feature Forge VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  

• TrueSkill, the video game rating system

  4.2 1.4 Feature Forge VS TrueSkill, the video game rating system

  An implementation of the TrueSkill rating system for Python
  

• pdpipe

  3.9 2.2 Feature Forge VS pdpipe

  Easy pipelines for pandas DataFrames.
  

• rwa

  3.8 0.0 L5 Feature Forge VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average
  

• SciKit-Learn Laboratory

  3.8 7.1 Feature Forge VS SciKit-Learn Laboratory

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

• Robocorp Action Server

  3.7 7.7 Feature Forge VS Robocorp Action Server

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

• nptyping

  3.6 0.0 Feature Forge VS nptyping

  💡 Type hints for Numpy and Pandas
  

• Data Flow Facilitator for Machine Learning (dffml)

  3.3 9.3 Feature Forge VS Data Flow Facilitator for Machine Learning (dffml)

  DISCONTINUED. 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

  3.2 0.0 L4 Feature Forge VS brew

  DISCONTINUED. Multiple Classifier Systems and Ensemble Learning Library in Python.

• bodywork

  3.1 0.0 Feature Forge VS bodywork

  DISCONTINUED. ML pipeline orchestration and model deployments on Kubernetes.
  

• MLP Classifier

  2.8 0.0 L4 Feature Forge VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.
  

• redframes

  2.8 1.4 Feature Forge VS redframes

  General Purpose Data Manipulation Library
  

• openskill.py

  2.8 7.9 Feature Forge VS openskill.py

  Multiplayer Rating System. No Friction.
  

• OptaPy

  2.8 5.5 Feature Forge VS OptaPy

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

• vowpal_porpoise

  2.6 0.0 L3 Feature Forge VS vowpal_porpoise

  lightweight python wrapper for vowpal wabbit
  

* 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

• Feature Forge
  vs
  Keras
• Feature Forge
  vs
  brew
• Feature Forge
  vs
  tensorflow
• Feature Forge
  vs
  scikit-learn
• Feature Forge
  vs
  gensim