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drivers/net/wireless/ath
drivers/net/wireless/b43
drivers/net/wireless/b43legacy
drivers/net/wireless/hostap
drivers/net/wireless/ipw2x00
drivers/net/wireless/iwlwifi
drivers/net/wireless/iwmc3200wifi
drivers/net/wireless/libertas
drivers/net/wireless/libertas_tf
drivers/net/wireless/orinoco
drivers/net/wireless/p54
drivers/net/wireless/prism54
drivers/net/wireless/rt2x00
drivers/net/wireless/rtl818x
drivers/net/wireless/wl12xx
drivers/net/wireless/zd1211rw
drivers/net/wireless/Kconfig
drivers/net/wireless/Makefile
drivers/net/wireless/adm8211.c
drivers/net/wireless/adm8211.h
drivers/net/wireless/airo.c
drivers/net/wireless/airo.h
drivers/net/wireless/airo_cs.c
drivers/net/wireless/arlan-main.c
drivers/net/wireless/arlan-proc.c
drivers/net/wireless/arlan.h
drivers/net/wireless/at76c50x-usb.c
drivers/net/wireless/at76c50x-usb.h
drivers/net/wireless/atmel.c
drivers/net/wireless/atmel.h
drivers/net/wireless/atmel_cs.c
drivers/net/wireless/atmel_pci.c
drivers/net/wireless/i82586.h
drivers/net/wireless/i82593.h
drivers/net/wireless/mac80211_hwsim.c
drivers/net/wireless/mwl8k.c
drivers/net/wireless/netwave_cs.c
drivers/net/wireless/ray_cs.c
drivers/net/wireless/ray_cs.h
drivers/net/wireless/rayctl.h
drivers/net/wireless/rndis_wlan.c
drivers/net/wireless/strip.c
drivers/net/wireless/wavelan.c
drivers/net/wireless/wavelan.h
drivers/net/wireless/wavelan.p.h
drivers/net/wireless/wavelan_cs.c
drivers/net/wireless/wavelan_cs.h
drivers/net/wireless/wavelan_cs.p.h
drivers/net/wireless/wl3501.h
drivers/net/wireless/wl3501_cs.c
drivers/net/wireless/zd1201.c
drivers/net/wireless/zd1201.h

项目简介

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

:rocket: Github 镜像仓库 :rocket:

源项目地址 :arrow_down: :arrow_down: :arrow_down:

https://github.com/paddlepaddle/paddle

deep-learningdistributed-trainingefficiencymachine-learningneural-networkpaddlepaddlepythonscalability

发行版本 60

PaddlePaddle 2.5.0 Release Note

全部发行版

贡献者 246

全部贡献者

开发语言

  • C++ 49.8 %
  • Python 41.0 %
  • Cuda 7.0 %
  • CMake 1.1 %
  • Shell 0.6 %
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