Pinned Repositories
ArmNeonOptimization
Arm neon optimization practice
bgu
Caffe
cmake-3.10.0-win64-x64
CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
CSP
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
CVND_Exercises
Exercise notebooks for CVND.
deep-learning-models
Keras code and weights files for popular deep learning models.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Local-apsect-LC-KSVD
R0use's Repositories
R0use/cmake-3.10.0-win64-x64
R0use/Local-apsect-LC-KSVD
R0use/ArmNeonOptimization
Arm neon optimization practice
R0use/bgu
R0use/Caffe
R0use/CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
R0use/CSP
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
R0use/CVND_Exercises
Exercise notebooks for CVND.
R0use/deep-learning-models
Keras code and weights files for popular deep learning models.
R0use/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
R0use/deeplearning-models
A collection of various deep learning architectures, models, and tips
R0use/FALSR
Fast, Accurate and Lightweight Super-Resolution models
R0use/PolyU-Real-World-Noisy-Images-Dataset
Real-world Noisy Image Denoising: A New Benchmark
R0use/Python-100-Days
Python - 100天从新手到大师
R0use/pytorch-caffe-darknet-convert
convert between pytorch, caffe prototxt/weights and darknet cfg/weights
R0use/signal-processing
Repository that gathers code for signal processing
R0use/SlimYOLOv3
This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications
R0use/Ultra-Light-Fast-Generic-Face-Detector-1MB
💎 1MB轻量级人脸检测模型 (1MB lightweight face detection model)
R0use/Weighted-Guided-Image-Filter
R0use/yolov3-channel-and-layer-pruning
yolov3 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏
R0use/YOLOv3-complete-pruning
提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。