OceanWong's repositories
albumentations
fast image augmentation library and easy to use wrapper around other libraries
anomalydiffusion
[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏
Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
coding-interview-university
A complete computer science study plan to become a software engineer.
CodingInterviews
剑指Offer——名企面试官精讲典型编程题
fucking-algorithm
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
Humpback-Whale-Identification-Challenge-2019_2nd_palce_solution
Kaggle Humpback Whale Identification Challenge 2019 2nd place code
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
leetcode-1
leetcode 顺序刷题,详细通俗题解,with JAVA
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
libfacedetection
An open source library for face detection in images. The face detection speed can reach 1500FPS.
lidar_radar_fusion_ekf_ukf
Lidar and Radar Fusion with EKF and UKF
review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
RSNA
RSNA Model Dev
slam_in_autonomous_driving
《自动驾驶中的SLAM技术》对应开源代码
slambook2
edition 2 of the slambook
SlimYOLOv3
This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications
tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
tianya
:books: 天涯帖子备份
V2Ray_ws-tls_bash_onekey
V2Ray Nginx+vmess+ws+tls/ http2 over tls 一键安装脚本
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/