tfgraphviz alternatives and similar packages

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

• tensorflow

  10.0 10.0 L1 tfgraphviz VS tensorflow

  An Open Source Machine Learning Framework for Everyone
  

• scikit-learn

  10.0 9.9 L3 tfgraphviz VS scikit-learn

  scikit-learn: machine learning in Python
  

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• Keras

  9.9 9.8 L2 tfgraphviz VS Keras

  Deep Learning for humans
  

• gym

  9.8 0.0 tfgraphviz VS gym

  A toolkit for developing and comparing reinforcement learning algorithms.
  

• xgboost

  9.7 9.6 L1 tfgraphviz 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 tfgraphviz VS MindsDB

  AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need
  

• PaddlePaddle

  9.6 10.0 L1 tfgraphviz 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）
  

• dspy

  9.5 9.9 tfgraphviz VS dspy

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

• CNTK

  9.5 0.0 L1 tfgraphviz VS CNTK

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

• Prophet

  9.5 7.1 tfgraphviz VS Prophet

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

• MLflow

  9.5 9.9 tfgraphviz VS MLflow

  Open source platform for the machine learning lifecycle
  

• gensim

  9.4 4.1 L3 tfgraphviz VS gensim

  Topic Modelling for Humans
  

• TFLearn

  9.1 0.0 L3 tfgraphviz VS TFLearn

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

• NuPIC

  8.8 0.0 L3 tfgraphviz 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 8.8 tfgraphviz 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 7.0 tfgraphviz VS Pyro.ai

  Deep universal probabilistic programming with Python and PyTorch
  

• Surprise

  8.4 5.1 L4 tfgraphviz VS Surprise

  A Python scikit for building and analyzing recommender systems
  

• srez

  8.3 0.0 L5 tfgraphviz VS srez

  DISCONTINUED. Image super-resolution through deep learning

• LightFM

  7.9 0.0 L4 tfgraphviz VS LightFM

  A Python implementation of LightFM, a hybrid recommendation algorithm.
  

• Pylearn2

  7.7 0.0 L2 tfgraphviz VS Pylearn2

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

• skflow

  7.6 1.3 L4 tfgraphviz VS skflow

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

• Sacred

  7.5 5.4 tfgraphviz VS Sacred

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

• PyBrain

  7.4 0.0 L4 tfgraphviz VS PyBrain

  Another Python Machine Learning Library.
  

• Atomic Agents

  7.4 9.5 tfgraphviz VS Atomic Agents

  Building AI agents, atomically
  

• Clairvoyant

  7.1 2.1 L3 tfgraphviz VS Clairvoyant

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

• garak, LLM vulnerability scanner

  6.3 9.8 tfgraphviz VS garak, LLM vulnerability scanner

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

• karateclub

  6.2 6.7 tfgraphviz 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 tfgraphviz VS python-recsys

  A python library for implementing a recommender system
  

• Metrics

  6.1 0.0 tfgraphviz VS Metrics

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

• awesome-embedding-models

  5.9 0.0 tfgraphviz VS awesome-embedding-models

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

• pydeep

  5.8 0.0 L3 tfgraphviz VS pydeep

  Deep learning in Python
  

• Crab

  5.5 0.0 L2 tfgraphviz 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 tfgraphviz VS hebel

  GPU-Accelerated Deep Learning Library in Python
  

• seqeval

  4.7 2.6 tfgraphviz VS seqeval

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

• Xorbits

  4.7 7.8 tfgraphviz VS Xorbits

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

• adaptive

  4.6 6.0 tfgraphviz VS adaptive

  :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  

• TrueSkill, the video game rating system

  4.3 1.4 tfgraphviz VS TrueSkill, the video game rating system

  An implementation of the TrueSkill rating system for Python
  

• pdpipe

  3.9 5.7 tfgraphviz VS pdpipe

  Easy pipelines for pandas DataFrames.
  

• SciKit-Learn Laboratory

  3.8 4.3 tfgraphviz VS SciKit-Learn Laboratory

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

• rwa

  3.8 0.0 L5 tfgraphviz VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average
  

• Robocorp Action Server

  3.8 7.5 tfgraphviz VS Robocorp Action Server

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

• nptyping

  3.6 0.0 tfgraphviz VS nptyping

  💡 Type hints for Numpy and Pandas
  

• Feature Forge

  3.5 0.0 L4 tfgraphviz 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 9.3 tfgraphviz 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 tfgraphviz VS brew

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

• bodywork

  3.1 0.0 tfgraphviz VS bodywork

  DISCONTINUED. ML pipeline orchestration and model deployments on Kubernetes.
  

• MLP Classifier

  2.8 0.0 L4 tfgraphviz VS MLP Classifier

  A handwritten multilayer perceptron classifer using numpy.
  

• redframes

  2.8 1.4 tfgraphviz VS redframes

  General Purpose Data Manipulation Library
  

• openskill.py

  2.8 8.1 tfgraphviz VS openskill.py

  Multiplayer Rating System. No Friction.
  

• OptaPy

  2.8 5.5 tfgraphviz VS OptaPy

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

* 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

• tfgraphviz
  vs
  tensorflow
• tfgraphviz
  vs
  TFLearn
• tfgraphviz
  vs
  Keras
• tfgraphviz
  vs
  Clairvoyant
• tfgraphviz
  vs
  MLflow

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