-
The Hong Kong Polytechnic University
- Hong Kong
- https://qihuazhou.github.io/
Stars
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/READ…
A biblatex implementation of the GB/T7714-2015 bibliography style || GB/T 7714-2015 参考文献著录和标注的biblatex样式包
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
A Swift library for creating and exporting CoreML Models in Swift
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Optimize layers structure of Keras model to reduce computation time
Memory consumption and FLOP count estimates for convnets
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Awesome Knowledge Distillation
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Turi Create simplifies the development of custom machine learning models.
The MobileNet neural network using Apple's new CoreML framework
Source code for the book Core ML Survival Guide
Source code for my blog post series "On-device training with Core ML"
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Training MNIST with CoreML on Device
Now we have become very big, Different from the original idea. Collect premium software in various categories.
📄 🇨🇳 📃 论文阅读笔记(分布式系统、虚拟化、机器学习)Papers Notebook (Distributed System, Virtualization, Machine Learning)
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.