Pinned Repositories
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-anomaly-detection-old
A complete list of papers on anomaly detection.
Awsome-Image-Inpainting
Papers and projects about image inpainting.
Data-Structure-Algorithms-Practice
Data structure and algorithms, problems and solutions. Practicing programming skills
DFC
Unsupervised Anomaly Detection and Segmentation via Deep Feature Correspondence
DFR
Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction
easyML
A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
Medical-Insurance-Fraud-Detection
A competition held by Chinese society of social insurance and Aibaba Group. I individually got the ranking of 15 in the first round and 16 in the second round among 1300+ teams.
Power-Consumption-Prediction
Based on the historical electricity consumption data of more than 1000 enterprises in a high-tech Zone, design algorithms to predict the daily total electricity consumption of the Zone in next month (next 30 days)
sturcture-inpainting
Source code of AAAI 2020 paper 'Learning to Incorporate Structure Knowledge for Image Inpainting'
YoungGod's Repositories
YoungGod/sturcture-inpainting
Source code of AAAI 2020 paper 'Learning to Incorporate Structure Knowledge for Image Inpainting'
YoungGod/DFR
Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction
YoungGod/Medical-Insurance-Fraud-Detection
A competition held by Chinese society of social insurance and Aibaba Group. I individually got the ranking of 15 in the first round and 16 in the second round among 1300+ teams.
YoungGod/Power-Consumption-Prediction
Based on the historical electricity consumption data of more than 1000 enterprises in a high-tech Zone, design algorithms to predict the daily total electricity consumption of the Zone in next month (next 30 days)
YoungGod/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
YoungGod/DFC
Unsupervised Anomaly Detection and Segmentation via Deep Feature Correspondence
YoungGod/awesome-anomaly-detection-old
A complete list of papers on anomaly detection.
YoungGod/easyML
A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
YoungGod/Awsome-Image-Inpainting
Papers and projects about image inpainting.
YoungGod/Data-Structure-Algorithms-Practice
Data structure and algorithms, problems and solutions. Practicing programming skills
YoungGod/Machine-learning-in-action
YoungGod/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
YoungGod/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
YoungGod/SunML
My own ml lib. A continuously updated individual machine learning repository..
YoungGod/awesome-deep-learning-papers
The most cited deep learning papers
YoungGod/awesome-deep-vision
A curated list of deep learning resources for computer vision
YoungGod/awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
YoungGod/Computer-Vision-Video-Lectures
A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.
YoungGod/DataStructure-Algorithm
YoungGod/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
YoungGod/mav_voxblox_planning
MAV planning tools using voxblox as the map representation.
YoungGod/medical-data
YoungGod/medical-imaging-datasets
A list of Medical imaging datasets. Source : https://sites.google.com/site/aacruzr/image-datasets
YoungGod/ML-lib
An extensive machine learning library, made from scratch (Python).
YoungGod/persist-queue
A thread-safe disk based persistent queue in Python
YoungGod/PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
YoungGod/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
YoungGod/tide
A General Toolbox for Identifying Object Detection Errors
YoungGod/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
YoungGod/Visual-Reasoning-eXplanation
[CVPR 2021] A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts