executorch
Daisykit
| executorch | Daisykit | |
|---|---|---|
| 2 | 1 | |
| 1,172 | 95 | |
| 44.6% | - | |
| 10.0 | 6.7 | |
| 3 days ago | 7 months ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | Apache 2.0 |
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.
executorch
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ExecuTorch: Enabling On-Device interference for embedded devices
Yes ExecuTorch is currently targeted at Edge devices. The runtime is written in C++ with 50KB binary size (without kernels) and should run in most of platforms. You are right that we have not integrated to Nvidia backend yet. Have you tried torch.compile() in PyTorch 2.0? It would do the Nvidia optimization for you without Torchscript. If you have specific binary size or edge specific request, feel free to file issues in https://github.com/pytorch/executorch/issues
Daisykit
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mediapipe VS daisykit - a user suggested alternative
2 projects | 24 Mar 2023
Daisykit(opens in a new tab) is an easy AI toolkit with face mask detection, pose detection, background matting, barcode detection, and more. This open-source project includes the following: - Daisykit SDK - C++, the core of models and algorithms in NCNN deep learning framework. - Daisykit Python wrapper for easy integration with Python. - Daisykit Android - Example app demonstrating how to use Daisykit SDK in Android.
What are some alternatives?
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
OpenPointClass - Fast and memory efficient semantic segmentation of 3D point clouds. Runs on Windows, Mac and Linux.
DALI - A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
MegEngine - MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
candle - Minimalist ML framework for Rust
vit.cpp - Inference Vision Transformer (ViT) in plain C/C++ with ggml
llama - Inference code for Llama models
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more