MetisFL
ncnn
| MetisFL | ncnn | |
|---|---|---|
| 43 | 12 | |
| 531 | 19,310 | |
| 0.0% | 1.4% | |
| 9.3 | 9.4 | |
| 6 months ago | 3 days ago | |
| Python | C++ | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
MetisFL
- [D] Scaling Neuroscience Research Using Federated Learning
-
We created an open source SDK. Any feedback is important for us!
We have created a new project on GitHub called MetisFL, a federated learning framework that allows developers to federate their machine learning workflows and train their models across distributed datasets without having to collect the data in a centralized location.
- Show HN: New GitHub Project Help Needed
- A lighting-fast and developer-friendly Federated Learning SDK
- Looking for open source developers on GitHub
- Enterprise-ready and developer-friendly Federated Learning SDK
ncnn
-
AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
ncnn uses Vulkan for GPU acceleration, I've seen it used in a few projects to get AMD hardware support.
https://github.com/Tencent/ncnn
-
[D] Best way to package Pytorch models as a standalone application
They're using NCNN to package the model. Have a look. https://github.com/Tencent/NCNN
-
Realtime object detection android app
Hi. Here is my prefered android app for realtime objet detection: https://github.com/nihui/ncnn-android-nanodet ; https://github.com/Tencent/ncnn contains a lot of android demo app for a lot of models.
- ncnn: High-performance neural network inference framework optimized for mobile
-
Esp32 tensorflow lite
ncnn home page: https://github.com/Tencent/ncnn
-
MMDeploy: Deploy All the Algorithms of OpenMMLab
ncnn
-
Draw Things, Stable Diffusion in your pocket, 100% offline and free
Yes, Android devices tend to have bigger RAMs, making running 1024x1024 possible (this is not possible at all on iPhones, which could peak around 5GiB memory with my current implementation, some serious engineering required to bring that down on iPhone devices). The problem is I am not sure about speed. I would likely switch to NCNN (https://github.com/Tencent/ncnn) as the backend which have a decent Vulkan computing kernel support. It is definitely a possibility and there is a path to do that.
- What’s New in TensorFlow 2.10?
-
[Technical Article] OCR Upgrade
As the leading open-source inference framework in China and in the world, what we like are its almost zero cost cross-platform capability, high inference speed, and minimal deployment volume. (Project address: https://github.com/Tencent/ncnn)
-
Is there a functioning neural netowork or backbone written in pure C language only?
If you’re not planning on training the neural net on an embedded device and just do inference, this might interest you: https://github.com/Tencent/ncnn
What are some alternatives?
FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.
XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web
webdevamin - My freelance web agency website
rife-ncnn-vulkan - RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library
AIJack - Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
upvpn-app - UpVPN is the world's first Serverless VPN. The VPN app is available for macOS, Linux, Windows, and Android. The UpVPN service can also be used with any WireGuard compatible client using the Web Device feature.
netron - Visualizer for neural network, deep learning and machine learning models
frugally-deep - A lightweight header-only library for using Keras (TensorFlow) models in C++.
darknet - Convolutional Neural Networks
billabear - Subscription Management and Billing System
RPi_64-bit_Zero-2-image - Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnn Framework.