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embedded-ai.bi-weekly
WeChat: NeuralTalk,Weekly report and awesome list of embedded-ai.
https://github.com/ysh329/embedded-ai.bi-weekly
Last synced: 5 days ago
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GPU Device
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FrameworkPaper
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Uncategorized
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Uncategorized
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CPU Devive
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Classic
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Overview
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Representation
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Structure
- 1704.06904 - attention-network)
- BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
- CVPR2017
- 1707.06342
- 1707.01083
- 1704.04861
- 1707.06990
- 1706.03912
- 1704.06904 - attention-network)
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Binarization
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Pruning
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Quantization
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LowRankApproximation
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Distillation
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Joint Compression
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Kernel Selection
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Computation Precison/Resolution
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Model Split
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Others
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Android
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iOS
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Frameworks & Acceleration Library
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Other Toolkit
- Samsung/iotjs: Platform for Internet of Things with JavaScript
- HandNet - A dataset of depth images of hands
- Deep learning **systems**: UW course schedule(focused on systems design, not learning)
- Squeezing Deep Learning Into Mobile Phones
- Efficient Convolutional Neural Network Inference on Mobile GPUs
- Optimal Compute on ARM MaliTM GPUs
- Compute for Mobile Devices Performance focused
- Hands On OpenCL
- Better OpenCL Performance on Qualcomm Adreno GPU
- Tutorial on Hardware Architectures for Deep Neural Networks | MIT MICRO-50
- 基于mtcnn和facenet的实时人脸检测与识别系统开发 | 知乎专栏
- Creating insanely fast image classifiers with MobileNet in TensorFlow | HACKERNOON
- How to squeeze the most from your training data | KDNUGGETS
- Ubuntu16.04腾讯NCNN框架入门到应用 | CSDN
- Building Cross-Platform CUDA Applications with CMake | NVIDIA
- Caffe2 Bay Area Meetup (5/31/2017) | YouTube
- How to squeeze the most from your training data | KDNUGGETS
- Deep Learning – Tutorial and Recent Trends
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Hardware
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GPU
- Bifrost GPU architecture and ARM Mali-G71 GPU
- Midgard GPU Architecture
- ARM Mali-T880 GPU
- Mobile GPU market share
- Lift: A novel approach to achieving performance portability on parallel accelerators. | Where High-Level Programming Meets Performance Portability
- mlmodelzoo.com – deep learning models on mobile
- OpenCV 3.3版本发布
- 鱼和熊掌兼得,DNN加入 OpenCV 全家桶 | 知乎专栏
- Qualcomm Snapdragon Neural Processing Engine (NPE) | Qualcomm Developer Network
- AI让芯片业洗牌: 苹果、微软和谷歌挤入赛道,英特尔、英伟达、高通、AMD几家欢乐几家愁 | 新智元
- 解密图森:英伟达为何投资这家无人车公司;估值18亿背后有位长者 | 量子位
- 被英伟达相中,给Tier1供货,天瞳威视仅靠AI就搞定ADAS | 车东西
- ARM的最新NB-IoT报告 | 5G
- ARM发飙!几个月后手机处理器将因它们而变天! | 智趣狗
- 人工智能和云计算让芯片业洗牌,英特尔成了最大输家 | 量子位
- The Rise of AI Is Forcing Google and Microsoft to Become Chipmakers | WIRED
- 如何评价腾讯刚出的ncnn库? | 知乎
- 沈向洋宣布微软开发 AI 芯片HPU,剑指英伟达等芯片巨头软肋 | 新智元
- 超越GPU,FPGA、ASIC和更智能的手机 | 新智元
- "TensorFire - runs neural networks in the browser using WebGL" - transfer]](https://tenso.rs/demos/fast-neural-style/)
- Getting Started with Neural Compute Stick and Rasbperry Pi 3 | YouTube
- We ported CAFFE to HIP - and here’s what happened… - GPUOpen
- Clarifai launches SDK for training AI on your iPhone | VentureBeat | AI | by Khari Johnson
- AI让芯片业洗牌: 苹果、微软和谷歌挤入赛道,英特尔、英伟达、高通、AMD几家欢乐几家愁 | 新智元
- Clarifai launches SDK for training AI on your iPhone | VentureBeat | AI | by Khari Johnson
- Lift: A novel approach to achieving performance portability on parallel accelerators. | Where High-Level Programming Meets Performance Portability
- 人工智能和云计算让芯片业洗牌,英特尔成了最大输家 | 量子位
- 鱼和熊掌兼得,DNN加入 OpenCV 全家桶 | 知乎专栏
- ARM发飙!几个月后手机处理器将因它们而变天! | 智趣狗
- 人工智能和云计算让芯片业洗牌,英特尔成了最大输家 | 量子位
- AI让芯片业洗牌: 苹果、微软和谷歌挤入赛道,英特尔、英伟达、高通、AMD几家欢乐几家愁 | 新智元
- AI让芯片业洗牌: 苹果、微软和谷歌挤入赛道,英特尔、英伟达、高通、AMD几家欢乐几家愁 | 新智元
- ARM发飙!几个月后手机处理器将因它们而变天! | 智趣狗
- ARM发飙!几个月后手机处理器将因它们而变天! | 智趣狗
- 人工智能和云计算让芯片业洗牌,英特尔成了最大输家 | 量子位
- AI让芯片业洗牌: 苹果、微软和谷歌挤入赛道,英特尔、英伟达、高通、AMD几家欢乐几家愁 | 新智元
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Mobile Video Process Library/Player
Programming Languages
Categories
Hardware
36
Other Toolkit
19
FrameworkPaper
13
Quantization
9
Structure
9
Others
7
Pruning
7
Binarization
6
LowRankApproximation
5
Representation
4
Computation Precison/Resolution
3
GPU Device
3
Overview
3
Classic
3
Distillation
2
Model Split
2
Frameworks & Acceleration Library
2
iOS
2
CPU Devive
2
Joint Compression
1
Uncategorized
1
Kernel Selection
1
Mobile Video Process Library/Player
1
Android
1
Sub Categories