Alternatives to Fritz logo

Alternatives to Fritz

TensorFlow, scikit-learn, Keras, PyTorch, and ML Kit are the most popular alternatives and competitors to Fritz.
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What is Fritz and what are its top alternatives?

Fritz is the end-to-end solution for on-device ML. Create ML-powered features in your app with ease and cross-platform support.
Fritz is a tool in the Machine Learning Tools category of a tech stack.

Fritz alternatives & related posts

TensorFlow logo

TensorFlow

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Open Source Software Library for Machine Intelligence
TensorFlow logo
TensorFlow
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Fritz

related TensorFlow posts

Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 6 upvotes · 516K views
atUber TechnologiesUber Technologies
TensorFlow
TensorFlow
Keras
Keras
PyTorch
PyTorch

Why we built an open source, distributed training framework for TensorFlow , Keras , and PyTorch:

At Uber, we apply deep learning across our business; from self-driving research to trip forecasting and fraud prevention, deep learning enables our engineers and data scientists to create better experiences for our users.

TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source frameworks for deep learning, which makes it easy to onboard new users. It also combines high performance with an ability to tinker with low-level model details—for instance, we can use both high-level APIs, such as Keras, and implement our own custom operators using NVIDIA’s CUDA toolkit.

Uber has introduced Michelangelo (https://eng.uber.com/michelangelo/), an internal ML-as-a-service platform that democratizes machine learning and makes it easy to build and deploy these systems at scale. In this article, we pull back the curtain on Horovod, an open source component of Michelangelo’s deep learning toolkit which makes it easier to start—and speed up—distributed deep learning projects with TensorFlow:

https://eng.uber.com/horovod/

(Direct GitHub repo: https://github.com/uber/horovod)

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StackShare Editors
StackShare Editors
| 4 upvotes · 64.6K views
atUber TechnologiesUber Technologies
Cassandra
Cassandra
Apache Spark
Apache Spark
TensorFlow
TensorFlow

In mid-2015, Uber began exploring ways to scale ML across the organization, avoiding ML anti-patterns while standardizing workflows and tools. This effort led to Michelangelo.

Michelangelo consists of a mix of open source systems and components built in-house. The primary open sourced components used are HDFS, Spark, Samza, Cassandra, MLLib, XGBoost, and TensorFlow.

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scikit-learn logo

scikit-learn

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Easy-to-use and general-purpose machine learning in Python
scikit-learn logo
scikit-learn
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Fritz
Keras logo

Keras

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Deep Learning library for Theano and TensorFlow
Keras logo
Keras
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Fritz

related Keras posts

Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 6 upvotes · 516K views
atUber TechnologiesUber Technologies
TensorFlow
TensorFlow
Keras
Keras
PyTorch
PyTorch

Why we built an open source, distributed training framework for TensorFlow , Keras , and PyTorch:

At Uber, we apply deep learning across our business; from self-driving research to trip forecasting and fraud prevention, deep learning enables our engineers and data scientists to create better experiences for our users.

TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source frameworks for deep learning, which makes it easy to onboard new users. It also combines high performance with an ability to tinker with low-level model details—for instance, we can use both high-level APIs, such as Keras, and implement our own custom operators using NVIDIA’s CUDA toolkit.

Uber has introduced Michelangelo (https://eng.uber.com/michelangelo/), an internal ML-as-a-service platform that democratizes machine learning and makes it easy to build and deploy these systems at scale. In this article, we pull back the curtain on Horovod, an open source component of Michelangelo’s deep learning toolkit which makes it easier to start—and speed up—distributed deep learning projects with TensorFlow:

https://eng.uber.com/horovod/

(Direct GitHub repo: https://github.com/uber/horovod)

See more
PyTorch logo

PyTorch

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A deep learning framework that puts Python first
PyTorch logo
PyTorch
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Fritz logo
Fritz

related PyTorch posts

Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 6 upvotes · 516K views
atUber TechnologiesUber Technologies
TensorFlow
TensorFlow
Keras
Keras
PyTorch
PyTorch

Why we built an open source, distributed training framework for TensorFlow , Keras , and PyTorch:

At Uber, we apply deep learning across our business; from self-driving research to trip forecasting and fraud prevention, deep learning enables our engineers and data scientists to create better experiences for our users.

TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source frameworks for deep learning, which makes it easy to onboard new users. It also combines high performance with an ability to tinker with low-level model details—for instance, we can use both high-level APIs, such as Keras, and implement our own custom operators using NVIDIA’s CUDA toolkit.

Uber has introduced Michelangelo (https://eng.uber.com/michelangelo/), an internal ML-as-a-service platform that democratizes machine learning and makes it easy to build and deploy these systems at scale. In this article, we pull back the curtain on Horovod, an open source component of Michelangelo’s deep learning toolkit which makes it easier to start—and speed up—distributed deep learning projects with TensorFlow:

https://eng.uber.com/horovod/

(Direct GitHub repo: https://github.com/uber/horovod)

See more
ML Kit logo

ML Kit

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Machine learning for mobile developers (by Google)
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    ML Kit
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    Fritz
    CUDA logo

    CUDA

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    It provides everything you need to develop GPU-accelerated applications
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      CUDA
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      Fritz
      TensorFlow.js logo

      TensorFlow.js

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      Machine Learning in JavaScript
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      TensorFlow.js
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      Fritz
      PredictionIO logo

      PredictionIO

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      Open Source Machine Learning Server
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      PredictionIO
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      Fritz
      H2O logo

      H2O

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      H2O.ai AI for Business Transformation
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        Fritz
        NLTK logo

        NLTK

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        It is a leading platform for building Python programs to work with human language data
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          Fritz
          Caffe2 logo

          Caffe2

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          Open Source Cross-Platform Machine Learning Tools (by Facebook)
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          Caffe2
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          Fritz
          Pipelines logo

          Pipelines

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          Machine Learning Pipelines for Kubeflow
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            Pipelines
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            Fritz
            .NET for Apache Spark logo

            .NET for Apache Spark

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            Makes Apache Spark™ Easily Accessible to .NET Developers
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              .NET for Apache Spark
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              Fritz
              Kubeflow logo

              Kubeflow

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              Machine Learning Toolkit for Kubernetes
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                Fritz
                Microsoft Cognitive Services logo

                Microsoft Cognitive Services

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                APIs, SDKs, and services available to help developers build intelligent applications
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                  Microsoft Cognitive Services
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                  Fritz
                  Theano logo

                  Theano

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                  Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently
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                    Theano
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                    Fritz
                    Aerosolve logo

                    Aerosolve

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                    A machine learning package built for humans (created by Airbnb)
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                      Aerosolve
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                      Fritz
                      Stan logo

                      Stan

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                      A Probabilistic Programming Language
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                        Stan
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                        Fritz
                        Ludwig logo

                        Ludwig

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                        A code-free deep learning toolbox, by Uber
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                          Fritz
                          Leaf logo

                          Leaf

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                          Machine learning framework in Rust
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