Pinned Repositories
Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning
Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；本册有，583幅图，136个代码文件，其中24个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改
Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；本册有，584幅图，81个代码文件，其中18个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改
Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；陆续上传25章草稿。草稿还会经过至少两轮修改优化，改动会很大，大家注意下载最新版本。请多提意见，谢谢
ChatGPT
Reverse engineered ChatGPT API
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
label_convert
A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and there are corresponding articles to explain.
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Arvery's Repositories
Arvery/label_convert
A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and there are corresponding articles to explain.
Arvery/Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning
Arvery/Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；本册有，583幅图，136个代码文件，其中24个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改
Arvery/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；本册有，584幅图，81个代码文件，其中18个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改
Arvery/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；陆续上传25章草稿。草稿还会经过至少两轮修改优化，改动会很大，大家注意下载最新版本。请多提意见，谢谢
Arvery/ChatGPT
Reverse engineered ChatGPT API
Arvery/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
Arvery/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Arvery/demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Arvery/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Arvery/QATM
Code for Quality-Aware Template Matching for Deep Learning
Arvery/streamlit_demo
streamlit一些样例以及相关的博文收集
Arvery/yolo_streamlit
Arvery/yolov5-keras
这是一个YoloV5-keras的源码，可以用于训练自己的模型。
Arvery/yolov5-streamlit
Deploy YOLOv5 detection with Streamlit
Arvery/yolov7-keras
这是一个yolov7-keras的源码，可以用于训练自己的模型。
Arvery/yolov7-tf2
这是一个YoloV7-tf2的源码，可以用于训练自己的模型。
Arvery/yolov7_torch
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors