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Beijing Jiaotong University
- Beijing
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10:20
(UTC +08:00) - https://faculty.bjtu.edu.cn/8530
Starred repositories
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 "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"
A Bach shell script for renaming the academic paper files in pdf with the paper titles
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.
fangvv / distiller
Forked from IntelLabs/distillerNeural 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
fangvv / Awesome-K210
Forked from Staok/Awesome-K210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"
A curated list of amazingly awesome frontend libraries, resources and shiny things.
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"
Efficient computing methods developed by Huawei Noah's Ark Lab
Summary, Code for Deep Neural Network Quantization