Stars
A higher-level Neural Network library for microcontrollers.
MicroPython for K210 RISC-V, let's play with edge AI easier
linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频
常用的语义分割架构结构综述以及代码复现 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
A collection of various deep learning architectures, models, and tips
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
PyTorch implementations of Generative Adversarial Networks.
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
A crash course in six episodes for software developers who want to become machine learning practitioners.
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…
Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
This tutorial mainly focuses on Qt 3D and its usages, Every commit is a step that tells how to build a project from scratch.
This project contain some OpenCV demo that we use frequently.