Johnzhjw

Johnzhjw's Stars

• Pang-Yong/NSGAIII-EHVI

  An Expensive Many-Objective Optimization Algorithm Based on Efficient Expected Hypervolume Improvement

  Language:MATLAB51

• openai/swarm

  Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

  Language:Python16.5k1.7k

• redpilllabs/GFIGeoIP

  A collaborating effort to gather IP geographic/intelligence to utilize for routing rules on GFW-censored networks.

  Language:Python94

• YodaEmbedding/collaborative-intelligence

  [NeurIPS 2019] Mobile-cloud split deep learning model inference

  Language:Kotlin9

• letian-zhang/ANS

  Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning

  Language:Python378

• 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)

  Language:Python286107

• crewAIInc/crewAI

  Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

  Language:Python21.8k3k

• KatherLab/MediSwarm

  MediSwarm is an open-source project for advancing medical deep learning using swarm intelligence and NVFlare. Developed by the Odelia consortium, it ensures data privacy through federated learning, enabling collaborative, decentralized model training across institutions for improved medical research and applications.

  Language:Python6

• Yara-HYR/HAVE

  Language:Python61

• microsoft/event-vae-rl

  Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://arxiv.org/abs/2103.00806

  Language:Python4915

• junxiaosong/AlphaZero_Gomoku

  An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

  Language:Python3.3k971

• pytorch/ELF

  ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

  Language:C++3.4k566

• Haram-kim/Hetero_Stereo_Matching

  Hetero_Stereo_Matching

  Language:Python142

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python10.7k2.4k

• yformer/EfficientSAM

  EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

  Language:Jupyter Notebook2.2k154

• EdgeScheduler/DLIR-Allocator

  Better resource-allocator to deploy mutiply DL-Models.

  22

• saxena-mayur/Weight-Uncertainty-in-Neural-Networks

  Language:Jupyter Notebook3811

• nitarshan/bayes-by-backprop

  PyTorch implementation of "Weight Uncertainty in Neural Networks"

  Language:Jupyter Notebook17047

• dfilan/clusterability_in_neural_networks

  Language:Jupyter Notebook71

• OscarXZQ/weight-selection

  Language:Python17012

• NVIDIA-Omniverse/kit-app-template

  Omniverse Kit App Template

  Language:Python30997

• locuslab/mpc.pytorch

  A fast and differentiable model predictive control (MPC) solver for PyTorch.

  Language:Python895148

• do-mpc/do-mpc

  Model predictive control python toolbox

  Language:Python1k181

• Event-AHU/EventVOT_Benchmark

  [CVPR-2024] The First High Definition (HD) Event based Visual Object Tracking Benchmark Dataset

  Language:Python803

• Accelergy-Project/accelergy

  Accelergy is an energy estimation infrastructure for accelerator energy estimations

  Language:Python12740

• Accelergy-Project/accelergy-timeloop-infrastructure

  Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop

  Language:Dockerfile4726

• Event-AHU/COESOT

  A large-scale benchmark dataset for color-event based visual tracking

  Language:Python504

• latte-int/latte

  LattE integrale, software for counting lattice points and integration over convex polytopes

  Language:C++3913

• xyjigsaw/Evolutionary-Computation-Navigation

  🎮OmegaXYZ.com演化计算文章目录（实时更新）

  4313

• OpenXiangShan/XiangShan-doc

  Documentation for XiangShan

  Language:TeX351136