EdgeML VS vit.cpp

Compare EdgeML vs vit.cpp and see what are their differences.

EdgeML

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India. (by microsoft)
iot-device Sensor edge-machine-learning resource-constrained-ml machine-learning-algorithms microsoft-research Machine Learning Tensorflow Deep Learning edge-computing Microsoft edge-devices Classifier emi-rnn Pytorch bonsai protonn fastgrnn CPP fastrnn
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vit.cpp

Inference Vision Transformer (ViT) in plain C/C++ with ggml (by staghado)
Cpu ggml vision-transformer whisper-cpp edge-computing llamacpp AI Computer Vision image-classification C CPP
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EdgeML vit.cpp
1 2
1,541 177
0.5% -
0.0 8.8
about 1 month ago 27 days ago
C++ C++
GNU General Public License v3.0 or later 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.
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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.

EdgeML

Posts with mentions or reviews of EdgeML. We have used some of these posts to build our list of alternatives and similar projects.
  • Great Quantization Libraries? [D]
    1 project | /r/MachineLearning | 6 Mar 2023
    There is compiler from microsoft called SEEDOT https://github.com/microsoft/EdgeML/tree/master/tools/SeeDot , very good for 8bit , not sure for 4bit , what is usecase you compile it down to 4 bit systems

vit.cpp

Posts with mentions or reviews of vit.cpp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-08.

What are some alternatives?

When comparing EdgeML and vit.cpp you can also consider the following projects:

tinyengine - [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

stable-diffusion.cpp - Stable Diffusion in pure C/C++

MetisFL - The first open Federated Learning framework implemented in C++ and Python.

minigpt4.cpp - Port of MiniGPT4 in C++ (4bit, 5bit, 6bit, 8bit, 16bit CPU inference with GGML)

nebuly - The user analytics platform for LLMs

Daisykit - Daisykit is an easy AI toolkit with face mask detection, pose detection, background matting, barcode detection, and more. With Daisykit, you don't need AI knowledge to build AI software.

tokay-lite-sdk - Tokay Lite: Low Power Edge AI Camera SDK

bark.cpp - Port of Suno AI's Bark in C/C++ for fast inference

frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.

ggml - Tensor library for machine learning

web_ffi - Translates dart:ffi calls on the web to WebAssembly using dart:js

EdgeML vs tinyengine vit.cpp vs stable-diffusion.cpp EdgeML vs MetisFL vit.cpp vs minigpt4.cpp EdgeML vs nebuly vit.cpp vs Daisykit vit.cpp vs tokay-lite-sdk vit.cpp vs bark.cpp vit.cpp vs frugally-deep vit.cpp vs ggml vit.cpp vs web_ffi