Popularity

3.1

Growing

Activity

8.8

Declining

Stars 174

Watchers 11

Forks 141

Last Commit 6 days ago

Description

DFFML aims to be the easiest and most convenient way to use Machine Learning.

- Its a machine learning distribution. Providing you access to a set of popular machine learning libraries guaranteed to work together.

- Its a AI/ML Python library, command line application, and HTTP service.

- You give it your data and tell it what kind of model you want to train. It creates a model for you.

- If you want finer grained control over the model, you can easily do so by implementing your own model plugin.

- We make it easy to use and deploy your models.

- We provide a directed graph concurrent execution environment with managed locking which we call DataFlows.

- DataFlows make it easy to generate datasets or modify existing datasets for rapid iteration on feature engineering.

Programming language: Python

License: MIT License

Tags: Natural Language Processing Command-line Tools HTTP RESTful API Science And Data Analysis Machine Learning Python autoML

Latest version: v0.4.0

Data Flow Facilitator for Machine Learning (dffml) alternatives and similar packages

Based on the "Machine Learning" category.
Alternatively, view Data Flow Facilitator for Machine Learning (dffml) alternatives based on common mentions on social networks and blogs.

tensorflow

10.0 10.0 L1 Data Flow Facilitator for Machine Learning (dffml) VS tensorflow

An Open Source Machine Learning Framework for Everyone
scikit-learn

9.9 9.9 L3 Data Flow Facilitator for Machine Learning (dffml) VS scikit-learn

scikit-learn: machine learning in Python

Less time debugging, more time building

Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

Promo scoutapm.com

Keras

9.9 9.9 L2 Data Flow Facilitator for Machine Learning (dffml) VS Keras

Deep Learning for humans
xgboost

9.8 9.6 L1 Data Flow Facilitator for Machine Learning (dffml) 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 Data Flow Facilitator for Machine Learning (dffml) VS gym

A toolkit for developing and comparing reinforcement learning algorithms.
CNTK

9.6 0.0 L1 Data Flow Facilitator for Machine Learning (dffml) VS CNTK

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

9.6 10.0 L1 Data Flow Facilitator for Machine Learning (dffml) 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 6.8 Data Flow Facilitator for Machine Learning (dffml) 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 8.8 L3 Data Flow Facilitator for Machine Learning (dffml) VS gensim

Topic Modelling for Humans
MLflow

9.4 9.8 Data Flow Facilitator for Machine Learning (dffml) VS MLflow

Open source platform for the machine learning lifecycle
TFLearn

9.3 0.0 L3 Data Flow Facilitator for Machine Learning (dffml) VS TFLearn

Deep learning library featuring a higher-level API for TensorFlow.
H2O

8.9 9.8 Data Flow Facilitator for Machine Learning (dffml) 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.
MindsDB

8.9 9.9 Data Flow Facilitator for Machine Learning (dffml) VS MindsDB

In-Database Machine Learning
NuPIC

8.9 0.0 L3 Data Flow Facilitator for Machine Learning (dffml) 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.
Pyro.ai

8.8 8.4 Data Flow Facilitator for Machine Learning (dffml) VS Pyro.ai

Deep universal probabilistic programming with Python and PyTorch
Surprise

8.4 0.0 L4 Data Flow Facilitator for Machine Learning (dffml) VS Surprise

A Python scikit for building and analyzing recommender systems
srez

8.3 0.0 L5 Data Flow Facilitator for Machine Learning (dffml) VS srez

Image super-resolution through deep learning
Pylearn2

8.0 0.7 L2 Data Flow Facilitator for Machine Learning (dffml) VS Pylearn2

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

7.9 6.2 L4 Data Flow Facilitator for Machine Learning (dffml) VS LightFM

A Python implementation of LightFM, a hybrid recommendation algorithm.
PyBrain

7.8 0.0 L4 Data Flow Facilitator for Machine Learning (dffml) VS PyBrain

Another Python Machine Learning Library.
Sacred

7.7 4.2 Data Flow Facilitator for Machine Learning (dffml) VS Sacred

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

7.6 1.3 L4 Data Flow Facilitator for Machine Learning (dffml) VS skflow

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

7.4 0.0 L3 Data Flow Facilitator for Machine Learning (dffml) VS Clairvoyant

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

6.3 0.0 L4 Data Flow Facilitator for Machine Learning (dffml) VS python-recsys

A python library for implementing a recommender system
Metrics

6.3 0.0 Data Flow Facilitator for Machine Learning (dffml) VS Metrics

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

6.0 0.0 L3 Data Flow Facilitator for Machine Learning (dffml) VS pydeep

Deep learning in Python
awesome-embedding-models

6.0 0.0 Data Flow Facilitator for Machine Learning (dffml) VS awesome-embedding-models

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

5.8 6.7 Data Flow Facilitator for Machine Learning (dffml) VS karateclub

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

5.8 0.0 L2 Data Flow Facilitator for Machine Learning (dffml) 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

5.1 0.0 L2 Data Flow Facilitator for Machine Learning (dffml) VS hebel

GPU-Accelerated Deep Learning Library in Python
seqeval

4.3 0.0 Data Flow Facilitator for Machine Learning (dffml) VS seqeval

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
TrueSkill, the video game rating system

4.1 3.2 Data Flow Facilitator for Machine Learning (dffml) VS TrueSkill, the video game rating system

An implementation of the TrueSkill rating system for Python
adaptive

4.0 7.3 Data Flow Facilitator for Machine Learning (dffml) VS adaptive

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
pdpipe

3.9 7.6 Data Flow Facilitator for Machine Learning (dffml) VS pdpipe

Easy pipelines for pandas DataFrames.
SciKit-Learn Laboratory

3.9 7.5 Data Flow Facilitator for Machine Learning (dffml) VS SciKit-Learn Laboratory

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

3.9 0.0 L5 Data Flow Facilitator for Machine Learning (dffml) VS rwa

Machine Learning on Sequential Data Using a Recurrent Weighted Average
Feature Forge

3.5 0.0 L4 Data Flow Facilitator for Machine Learning (dffml) 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 Data Flow Facilitator for Machine Learning (dffml) VS brew

Multiple Classifier Systems and Ensemble Learning Library in Python.
bodywork

2.9 9.6 Data Flow Facilitator for Machine Learning (dffml) VS bodywork

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

2.7 0.0 L4 Data Flow Facilitator for Machine Learning (dffml) VS MLP Classifier

A handwritten multilayer perceptron classifer using numpy.
nptyping

2.7 6.3 Data Flow Facilitator for Machine Learning (dffml) VS nptyping

💡 Type hints for Numpy
vowpal_porpoise

2.4 0.0 L3 Data Flow Facilitator for Machine Learning (dffml) VS vowpal_porpoise

lightweight python wrapper for vowpal wabbit
OptaPy

2.1 8.0 Data Flow Facilitator for Machine Learning (dffml) VS OptaPy

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

1.9 8.7 Data Flow Facilitator for Machine Learning (dffml) VS openskill.py

A faster, open-license alternative to Microsoft TrueSkill
neptune-contrib

1.3 3.1 Data Flow Facilitator for Machine Learning (dffml) VS neptune-contrib

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

1.3 0.0 L5 Data Flow Facilitator for Machine Learning (dffml) VS tfgraphviz

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

1.0 6.7 Data Flow Facilitator for Machine Learning (dffml) VS ChaiPy

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

0.6 0.0 Data Flow Facilitator for Machine Learning (dffml) VS Simple GAN

Attempt at implementation of a simple GAN using Keras

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

Do you think we are missing an alternative of Data Flow Facilitator for Machine Learning (dffml) or a related project?

Add another 'Machine Learning' Package

Popular Comparisons

README