sixtycat's Stars
krahets/hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
JurajNyiri/HomeAssistant-Tapo-Control
Control for Tapo cameras as a Home Assistant component
Varvrar/ios_logger
Application for camera and sensor data logging (iOS)
zhuzunjie17/FastFusion
Dataset released
ziishaned/learn-regex
Learn regex the easy way
CMU-Perceptual-Computing-Lab/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
chrislgarry/Apollo-11
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
djkovrik/EckelCpp
Solutions for "Thinking in C++, 2nd edition". [C++]
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
SkoltechRobotics/rplidar
Python module for RPLidar A1 and A2 rangefinder scanners
ykj1414/Sift
Computer-Vision-Projects
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Tencent/PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Joevile/machine_learning
some projects about machine learning
udacity/CarND-LaneLines-P1
Lane Finding Project for Self-Driving Car ND
XiaoMi/mace
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
eigenteam/eigen-git-mirror
THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen
huangzehao/caffe-vdsr
A Caffe-based implementation of very deep convolution network for image super-resolution
c0nn3r/RetinaNet
An implementation of RetinaNet in PyTorch.
kuangliu/pytorch-retinanet
RetinaNet in PyTorch
CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
fizyr/keras-retinanet
Keras implementation of RetinaNet object detection.
luanfujun/deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511