Deep Learning for humans (by keras-team)

Keras Alternatives

Similar projects and alternatives to Keras

  • Pandas

    12 Keras VS Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  • examples

    18 Keras VS examples

    TensorFlow examples (by tensorflow)

  • Revelo Payroll

    Free Global Payroll designed for tech teams. Building a great tech team takes more than a paycheck. Zero payroll costs, get AI-driven insights to retain best talent, and delight them with amazing local benefits. 100% free and compliant.

  • scikit-learn

    scikit-learn: machine learning in Python

  • tensorflow

    7 Keras VS tensorflow

    An Open Source Machine Learning Framework for Everyone

  • MLP Classifier

    A handwritten multilayer perceptron classifer using numpy.

  • Pytorch

    8 Keras VS Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • NumPy

    8 Keras VS NumPy

    The fundamental package for scientific computing with Python.

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

  • Django

    7 Keras VS Django

    The Web framework for perfectionists with deadlines.

  • xgboost

    - Keras 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

  • OpenCV

    5 Keras VS OpenCV

    Open Source Computer Vision Library

  • cheatsheets

    Official Matplotlib cheat sheets (by matplotlib)

  • pytorch-lightning

    Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to:]

  • scalene

    4 Keras VS scalene

    Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

  • Prophet

    - Keras VS Prophet

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

  • fastapi

    3 Keras VS fastapi

    FastAPI framework, high performance, easy to learn, fast to code, ready for production

  • Scrapy

    3 Keras VS Scrapy

    Scrapy, a fast high-level web crawling & scraping framework for Python.

  • llvm-project

    The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

  • NLTK

    3 Keras VS NLTK

    NLTK Source

  • TFLearn

    - Keras VS TFLearn

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

  • Ansible

    2 Keras VS Ansible

    Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems.

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better Keras alternative or higher similarity.

Keras reviews and mentions

Posts with mentions or reviews of Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-24.
  • Can someone explain how keras code gets into the Tensorflow package?
    2 projects | /r/tensorflow | 24 Jul 2023
    I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
  • How popular are libraries in each technology
    21 projects | | 21 Jun 2023
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
  • List of AI-Models
    14 projects | /r/GPT_do_dah | 16 May 2023
    Click to Learn more...
  • I got advice on building ai apps.
    2 projects | /r/learnprogramming | 26 Apr 2023
    Keras documentation:
  • Mastering Data Science: Top 10 GitHub Repos You Need to Know
    10 projects | | 24 Apr 2023
    3. Keras Keras is a high-level neural networks API written in Python that’s built on top of TensorFlow. It’s designed to enable fast experimentation with deep learning, allowing you to build and train models with just a few lines of code. If you’re new to deep learning or just want a more user-friendly interface, Keras is the way to go.
  • How to query pandas DataFrames with SQL
    5 projects | | 1 Feb 2023
    Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more.
  • The Essentials of a Contributor-friendly Open-source Project
    2 projects | | 18 Jan 2023
    Our trick is to support GitHub Codespaces, which provides a web-based Visual Studio Code IDE. The best thing is you can specify a Dockerfile with all the required dependency software installed. With one click on the repo’s webpage, your contributors are ready to code. Here is our setup for your reference.
    7 projects | | 16 Jan 2023
    If you’re looking for further resources on running TensorFlow and Keras on a newer MacBook, I recommend checking out this YouTube video: How to Install Keras GPU for Mac M1/M2 with Conda
  • Doing k-fold analysis
    2 projects | /r/tensorflow | 25 Dec 2022
    The thing that pops right into my mind is the following issue: People are still reporting memory leaks when calling model.predict and I wouldn't be surprised if also leaked when called multiple times. Maybe this is a good starting point for your investigation. If this is unrelated, I'm sorry in forward.
  • 65 Blog Posts to Learn Data Science
    2 projects | | 30 Nov 2022
    Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for anyone who is interested in using Deep Learning for text recognition in images but has no idea where to start.
  • A note from our sponsor - Sonar | 2 Oct 2023
    Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work. Learn more →


Basic Keras repo stats
5 days ago

keras-team/keras is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of Keras is Python.

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