oneflow
MNN
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oneflow
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[P]OneFlow v0.9.0 Came Out!
Found relevant code at https://github.com/Oneflow-Inc/oneflow + all code implementations here
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Probably the Fastest Open Source Stable Diffusion is released
OneFlow URL:https://github.com/Oneflow-Inc/oneflow/
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[D] What framework are you using?
No other options?:) We are developing a new distributed DL framework called OneFlow, which is faster than other frameworks and easier to use. Now it provides more and better PyTorch compatible APIs.
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[P]OneFlow v0.8.0 Came Out!
Code for https://arxiv.org/abs/2110.15032 found: https://github.com/Oneflow-Inc/oneflow
We are thrilled to announce the new release of OneFlow, which is a deep learning framework designed to be user-friendly, scalable and efficient. OneFlow v0.8.0 update contains 523 commits. For the full changlog, please check out: https://github.com/Oneflow-Inc/oneflow/releases/tag/v0.8.0.
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OneFlow: Redesign the Distributed Deep Learning Framework from Scratch[P]
Code for https://arxiv.org/abs/2110.15032 found: https://github.com/Oneflow-Inc/oneflow
Code: https://github.com/Oneflow-Inc/oneflow
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[D] Deep Learning Framework Benchmark
Great. Maybe you can also try our project OneFlow, which is a performance-centered deep learning framework.
MNN
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[D][R] Deploying deep models on memory constrained devices
However, I am looking on this subject through the problem of training/finetuning deep models on the edge devices, being increasingly available thing to do. Looking at tflite, alibaba's MNN, mit-han-lab's tinyengine etc..
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What’s New in TensorFlow 2.10?
There are a ton of mobile deployment options that support PyTorch+TF models. It's hard to argue TFLite is the best.
What are some alternatives?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
stable-diffusion-webui - Stable Diffusion web UI
tensorflow - An Open Source Machine Learning Framework for Everyone
TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
ML-examples - Arm Machine Learning tutorials and examples
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
flashlight - A C++ standalone library for machine learning
serving - A flexible, high-performance serving system for machine learning models
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.