Code for paper "Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Devices"

Reinforcement Learning through Active Inference

Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"

Draw a mockup and generate html for it

Code for paper "Dynamic Deep Neural Network Inference via Adaptive Channel Skipping"

Code for paper "Deep Reinforcement Learning based Multi-task Automated Channel Pruning for DNNs"

Code for paper "TLEE: Temporal-wise and Layer-wise Early Exiting Network for Efficient Video Recognition on Edge Devices"

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Code for paper "Classification-based Dynamic Network for Efficient Super-Resolution"

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

Awesome machine learning model compression research papers, tools, and learning material.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"

PDF Paper File Rename Software 自动提取PDF论文的文章标题作为该PDF的文件名

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"

Images to Classify Defective and Non-Defective Railway Track

Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"

收集关于K210的MaixPy开发和SDK IDE开发等的软硬件入门资料，帮助初学者快速了解、学习和入门K210

Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"

Collection of recent methods on DNN compression and acceleration

Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"

Code for paper "基于知识蒸馏的目标检测模型增量深度学习方法"

Free & Open source macOS Cursors.

Efficient computing methods developed by Huawei Noah's Ark Lab

Summary, Code for Deep Neural Network Quantization

Code for paper "面向物联网隐私数据分析的分布式弹性网络回归学习算法"

A Java-based NS2 Wireless Trace Analyzer