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What is Fido?

Fido is an adaptable, open-source C++ library tailored for machine learning endeavors, especially within embedded electronics and robotics. The library encompasses a range of implementations, such as trainable neural networks, reinforcement learning strategies, and genetic algorithms, as well as a complete robotic simulation environment. Furthermore, Fido includes a human-trainable control system for robots, as described by Truell and Gruenstein. Although the newest release does not feature the simulator, it is still available for those keen to explore its capabilities through the simulator branch. Thanks to its modular architecture, Fido can be effortlessly customized to suit various projects in the robotics field, making it a valuable tool for developers and researchers alike. This flexibility encourages innovation and experimentation in the rapidly evolving landscape of robotics and machine learning.

What is ConvNetJS?

ConvNetJS is a JavaScript library crafted for the purpose of training deep learning models, particularly neural networks, right within your web browser. You can initiate the training process with just a simple tab open, eliminating the need for any software installations, compilers, or GPU resources, making it incredibly user-friendly. The library empowers users to construct and deploy neural networks utilizing JavaScript and was originally created by @karpathy; however, it has been significantly improved thanks to contributions from the community, which are highly welcomed. For those seeking a straightforward method to access the library without diving into development intricacies, a minified version can be downloaded via the link to convnet-min.js. Alternatively, users have the option to acquire the latest iteration from GitHub, where you would typically look for the file build/convnet-min.js, which comprises the entire library. To kick things off, you just need to set up a basic index.html file in a chosen folder and ensure that build/convnet-min.js is placed in the same directory, allowing you to start exploring deep learning within your browser seamlessly. This easy-to-follow approach opens the door for anyone, regardless of their level of technical expertise, to interact with neural networks with minimal effort and maximum enjoyment.

Media

Media

Integrations Supported

OpenOTP Security Suite
Qwen3-Omni

Integrations Supported

OpenOTP Security Suite
Qwen3-Omni

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Fido

Company Website

fidoproject.github.io

Company Facts

Organization Name

ConvNetJS

Company Website

cs.stanford.edu/people/karpathy/convnetjs/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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