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  1. Stackups
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  3. Development & Training Tools
  4. Machine Learning Tools
  5. Comet.ml vs Fritz

Comet.ml vs Fritz

OverviewComparisonAlternatives

Overview

Comet.ml
Comet.ml
Stacks12
Followers50
Votes3
Fritz
Fritz
Stacks0
Followers4
Votes0

Comet.ml vs Fritz: What are the differences?

What is Comet.ml? Track, compare and collaborate on Machine Learning experiments. Comet.ml allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.

What is Fritz? Mobile machine learning made easy. Fritz is the end-to-end solution for on-device ML. Create ML-powered features in your app with ease and cross-platform support.

Comet.ml and Fritz can be categorized as "Machine Learning" tools.

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Detailed Comparison

Comet.ml
Comet.ml
Fritz
Fritz

Comet.ml allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.

Fritz is the end-to-end solution for on-device ML. Create ML-powered features in your app with ease and cross-platform support.

-
Image labeling - With the Image Labeling feature, you can identify the contents of an image or each frame of live video. Each prediction returns a set of labels as well as a confidence score for each label. Image Labeling can recognize people, places, and things. The underlying ML model was trained on millions of images and hundreds of labels.; Object detection - With the Object Detection feature, you can identify objects of interest in an image or each frame of live video. Each prediction returns a set of objects, each with a label, bounding box, and confidence score.
Statistics
Stacks
12
Stacks
0
Followers
50
Followers
4
Votes
3
Votes
0
Pros & Cons
Pros
  • 3
    Best tool for comparing experiments
No community feedback yet
Integrations
TensorFlow
TensorFlow
Theano
Theano
scikit-learn
scikit-learn
PyTorch
PyTorch
Keras
Keras
No integrations available

What are some alternatives to Comet.ml, Fritz?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

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