examples VS cppflow

Compare examples vs cppflow and see what are their differences.

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examples cppflow
147 9
7,848 770
0.6% -
4.0 0.0
9 days ago 2 months ago
Jupyter Notebook C++
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

examples

Posts with mentions or reviews of examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-07-01.
  • AI Tools for Developers in 2024
    2 projects | dev.to | 1 Jul 2024
    TensorFlow
  • Essential Deep Learning Checklist: Best Practices Unveiled
    20 projects | dev.to | 17 Jun 2024
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include functionality to log predictions and consider parallel processing or GPU utilization for speed enhancements.
  • Mathematics secret behind AI on Digit Recognition
    3 projects | dev.to | 15 Jun 2024
    Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository.
  • Awesome List
    25 projects | dev.to | 8 Jun 2024
    TensorFlow - An end-to-end open source machine learning platform. TensorFlow Documentation - Tutorials and documentation.
  • My Favorite DevTools to Build AI/ML Applications!
    9 projects | dev.to | 23 Apr 2024
    TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
  • Open Source Ascendant: The Transformation of Software Development in 2024
    4 projects | dev.to | 19 Mar 2024
    AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.
  • Best AI Tools for Students Learning Development and Engineering
    2 projects | dev.to | 18 Mar 2024
    Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework.
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    3 projects | dev.to | 22 Feb 2024
    TensorFlow: An open-source machine learning framework for high-performance numerical computations, especially well-suited for deep learning.
  • MLOps in practice: building and deploying a machine learning app
    2 projects | dev.to | 11 Jan 2024
    The tool used to build the model per se was TensorFlow, a very powerful and end-to-end open source platform for machine learning with a rich ecosystem of tools. And in order to to create the needed script using TensorFlow Jupyter Notebook was used, which is a web-based interactive computing platform.
  • 🔥14 Excellent Open-source Projects for Developers😎
    5 projects | dev.to | 10 Dec 2023
    10. TensorFlow - Make Machine Learning Work for You 🤖

cppflow

Posts with mentions or reviews of cppflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-20.

What are some alternatives?

When comparing examples and cppflow you can also consider the following projects:

mlpack - mlpack: a fast, header-only C++ machine learning library

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!

qt-tf-lite-example - Qt TensorFlow Lite example

face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

keras2cpp - This is a bunch of code to port Keras neural network model into pure C++.

Selenium WebDriver - A browser automation framework and ecosystem.

ssd_keras - A Keras port of Single Shot MultiBox Detector

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub helps you find the best software and product alternatives
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