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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 DeePhi Quantization Tool?

This cutting-edge tool is crafted for the quantization of convolutional neural networks (CNNs), enabling the conversion of weights, biases, and activations from 32-bit floating-point (FP32) to 8-bit integer (INT8) format, as well as other bit depths. By utilizing this tool, users can significantly boost inference performance and efficiency while maintaining high accuracy. It supports a variety of common neural network layer types, including convolution, pooling, fully-connected layers, and batch normalization, among others. Notably, the quantization procedure does not necessitate retraining the network or the use of labeled datasets; a single batch of images suffices for the process. Depending on the size of the neural network, this quantization can be achieved in just seconds or extend to several minutes, allowing for rapid model updates. Additionally, the tool is specifically designed to work seamlessly with DeePhi DPU, generating the necessary INT8 format model files for DNNC integration. By simplifying the quantization process, this tool empowers developers to create models that are not only efficient but also resilient across different applications. Ultimately, it represents a significant advancement in optimizing neural networks for real-world deployment.

Media

Media

Integrations Supported

OpenOTP Security Suite

Integrations Supported

OpenOTP Security Suite

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.90 per hour
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

DeePhi Quantization Tool

Company Website

aws.amazon.com/marketplace/pp/prodview-bwtx6kzwg3gva

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

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