crystaljh's Stars
Jack-Lee-Hiter/AlgorithmsByPython
算法/数据结构/Python/剑指offer/机器学习/leetcode
learning1234embed/SubFlow
[RTAS 2020] SubFlow: A Dynamic Induced-Subgraph Strategy Toward Real-Time DNN Inference and Training
mbs0221-mlsys/Multitask-Learning
Awesome Multitask Learning Resources
dataflowr/notebooks
code for deep learning courses
PacktPublishing/Deep-Learning-with-PyTorch
Deep Learning with PyTorch, published by Packt
PINTO0309/Tensorflow-bin
Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
593903762/Machine-Learning-Book-Pirated
机器学习中深度学习、强化学习、监督学习、集成学习相关的影印版pdf书籍
shashigharti/federated-learning-on-raspberry-pi
This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).
FedML-AI/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, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
wyc941012/Edge-Intelligence
随着移动云计算和边缘计算的快速发展,以及人工智能的广泛应用,产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中,但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算,例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂,并且可能导致模型精度的下降。在移动云计算或边缘计算中,任务卸载技术可以突破移动终端的资源限制,减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的**,将深度神经网络进行分区,一部分层在移动端计算,而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区,降低时延以及能耗。本项目给出了边缘智能方面的相关论文,并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词:边缘智能(Edge Intelligence),计算卸载(Computing Offloading),CNN模型分区(CNN Partition),协同推断(Collaborative Inference),移动云计算(Mobile Cloud Computing)
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
ctgk/PRML
PRML algorithms implemented in Python
SmirkCao/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
3rdparty/libprocess
Library that provides an actor style message-passing programming model (in C++).
Kiritow/WarTime-Project
[HC TECH] WarTime Project (2016)
apache/mesos
Apache Mesos
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
haoel/leetcode
LeetCode Problems' Solutions
chenshuo/typeset
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
brnbrns/SimplexAlgorithms
Several C++ Simplex Algorithms
yamada-h/ryu
Ryu Network Operating System
muzixing/fattree
Fattree topo in mininet