vit.cpp
frugally-deep
vit.cpp | frugally-deep | |
---|---|---|
2 | 5 | |
177 | 1,047 | |
- | - | |
8.8 | 8.0 | |
29 days ago | 18 days ago | |
C++ | C++ | |
MIT License | MIT License |
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.
vit.cpp
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I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
And more stuff I’m often checking back on: - https://github.com/staghado/vit.cpp - https://github.com/serp-ai/bark-with-voice-clone - https://github.com/leejet/stable-diffusion.cpp (generate images) - etc … there’s too much fun stuff out there. Wish I had more free time haha.
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[P] Inference Vision Transformer (ViT) in plain C/C++ with ggml
You can access it here: https://github.com/staghado/vit.cpp It has been added to the ggml library on GitHub: https://github.com/ggerganov/ggml
frugally-deep
- Frugally-deep: Header-only library for using Keras (TensorFlow) models in C++
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Ask HN: What side projects landed you a job?
The interview for my current job first went mediocre, but by talking about frugally-deep (a side project of mine) I was able to excite my (now) employer. :-)
https://github.com/Dobiasd/frugally-deep
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Way to convert keras based model to C++.
Did you work through the FAQ here: https://github.com/Dobiasd/frugally-deep/blob/master/FAQ.md
- Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD. r/circuitpython - Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD.
What are some alternatives?
stable-diffusion.cpp - Stable Diffusion in pure C/C++
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
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tensorflow - An Open Source Machine Learning Framework for Everyone
EdgeML - This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
tiny-cnn - header only, dependency-free deep learning framework in C++14
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.
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
tokay-lite-sdk - Tokay Lite: Low Power Edge AI Camera SDK
Genann - simple neural network library in ANSI C
bark.cpp - Port of Suno AI's Bark in C/C++ for fast inference
nano