Kanagawa-Fisher's Stars
GREAT-WHU/RoadLib
A lightweight library for instance-level visual road marking extraction, parameterization, mapping, etc.
alvinfunborn/DynCursor
Windows动态修改鼠标指针光标颜色图标样式, 根据键盘布局/语言/输入法的切换而变化. Change cursor/pointer style/color dynamically base on Keyboard Layout/Input Locale/IME/Language on Windows.
changkun/modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
weihaox/awesome-image-translation
Collection of awesome resources on image-to-image translation.
Tencent/ObjectDetection-OneStageDet
单阶段通用目标检测器
WongKinYiu/ScaledYOLOv4
Scaled-YOLOv4: Scaling Cross Stage Partial Network
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
hunglc007/tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
NVIDIA-AI-IOT/torch2trt
An easy to use PyTorch to TensorRT converter
huihut/CS-Books
📚 Computer Science Books 计算机技术类书籍 PDF
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
PistonY/torch-toolbox
🛠 Toolbox to extend PyTorch functionalities
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
davified/clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
fengdu78/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
fengdu78/lihang-code
《统计学习方法》的代码实现
billie66/TLCL
《快乐的 Linux 命令行》
gwang-cv/Point-Set-Matching-Registration-Material
A list of point set matching/registration resources collected by Gang Wang
amusi/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Magic-Bubble/RecommendSystemPractice
《推荐系统实践》代码实现
huayong/dl-vision-papers
深度学习和三维视觉相关的论文
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
dmlc/gluon-cv
Gluon CV Toolkit
foolwood/benchmark_results
Visual Tracking Paper List