Alternatives to Cortex.dev logo

Alternatives to Cortex.dev

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

It is an open source platform that takes machine learning models—trained with nearly any framework—and turns them into production web APIs in one command.
Cortex.dev is a tool in the Machine Learning Tools category of a tech stack.
Cortex.dev is an open source tool with 1.4K GitHub stars and 69 GitHub forks. Here’s a link to Cortex.dev's open source repository on GitHub

Cortex.dev alternatives & related posts

TensorFlow logo

TensorFlow

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Open Source Software Library for Machine Intelligence
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Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 6 upvotes · 439.2K views
atUber TechnologiesUber Technologies
PyTorch
PyTorch
Keras
Keras
TensorFlow
TensorFlow

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
StackShare Editors
StackShare Editors
| 4 upvotes · 40.7K views
atUber TechnologiesUber Technologies
TensorFlow
TensorFlow
Apache Spark
Apache Spark
Cassandra
Cassandra

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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Cortex.dev
Keras logo

Keras

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Deep Learning library for Theano and TensorFlow
Keras logo
Keras
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Cortex.dev logo
Cortex.dev

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Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 6 upvotes · 439.2K views
atUber TechnologiesUber Technologies
PyTorch
PyTorch
Keras
Keras
TensorFlow
TensorFlow

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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Cortex.dev logo
Cortex.dev

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Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 6 upvotes · 439.2K views
atUber TechnologiesUber Technologies
PyTorch
PyTorch
Keras
Keras
TensorFlow
TensorFlow

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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    Cortex.dev logo
    Cortex.dev
    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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      Cortex.dev logo
      Cortex.dev
      TensorFlow.js logo

      TensorFlow.js

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      Machine Learning in JavaScript
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      TensorFlow.js
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      Cortex.dev
      H2O logo

      H2O

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      H2O.ai AI for Business Transformation
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        H2O
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        Cortex.dev
        PredictionIO logo

        PredictionIO

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        Open Source Machine Learning Server
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        PredictionIO
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        Cortex.dev
        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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          Cortex.dev
          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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          Cortex.dev
          Pipelines logo

          Pipelines

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          Machine Learning Pipelines for Kubeflow
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            Pipelines
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            Cortex.dev
            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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              .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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                Kubeflow logo

                Kubeflow

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                Machine Learning Toolkit for Kubernetes
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                  Kubeflow
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                  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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                    Cortex.dev
                    Leaf logo

                    Leaf

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                    Machine learning framework in Rust
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                      Leaf
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                      Cortex.dev
                      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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                        Cortex.dev
                        Stan logo

                        Stan

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                        A Probabilistic Programming Language
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                          Cortex.dev
                          Ludwig logo

                          Ludwig

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                          A code-free deep learning toolbox, by Uber
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