linqiaozhou's repositories
awesome-opencl
:sunglasses: A curated list of awesome OpenCL resources
didi_2016_7
首届滴滴算法大赛代码 十强战队
albumentations
fast image augmentation library and easy to use wrapper around other libraries
awesome
:sunglasses: Curated list of awesome lists
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
channel-pruning
Channel Pruning for Accelerating Very Deep Neural Networks
Computer-Vision-Video-Lectures
A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
darknet
Convolutional Neural Networks
darknet-1
darknet深度学习框架源码分析:详细中文注释,涵盖框架原理与实现语法分析
FFmpeg
Mirror of git://source.ffmpeg.org/ffmpeg.git
ForKillingTime
Write some code for killing time
Image-Seagmentation
Image seagment algorithm
leetcode
LeetCode Problems' Solutions
MagicCamera
Real-time Filter Camera&VideoRecorder And ImageEditor With Face Beauty For Android---包含美颜等40余种实时滤镜相机,可拍照、录像、图片修改
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
practicalAI
A practical approach to learning machine learning.
PRML
PRML algorithms implemented in Python
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
pytorch-ssim
pytorch structural similarity (SSIM) loss
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
Simd
C++ image processing and machine learning library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.
stb
stb single-file public domain libraries for C/C++
tonemapper
A tool for exploring and applying various tonemapping operators.