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Name: 冯勇 Yong Feng
Type: User
Bio: Intelligent fault diagnosis and anomaly detection for equipment or system; deep learning.
Blog: https://blog.csdn.net/weixin_43543177?spm=1001.2101.3001.5343
Name: 冯勇 Yong Feng
Type: User
Bio: Intelligent fault diagnosis and anomaly detection for equipment or system; deep learning.
Blog: https://blog.csdn.net/weixin_43543177?spm=1001.2101.3001.5343
https://arxiv.org/pdf/2202.02980
Aligning Binary Centers for Single-stage Monocular 3D Object Detection
Anomaly detection related books, papers, videos, and toolboxes
MD,LSTM-AE,VAE-MAD-GAN
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
A resnet18 version of CenterNet(objects as points)
The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
few-shot learning experiments
Yong Feng's blog
:zap: Dynamically generated stats for your github readmes
jupyter blog
evaluate KITTI detection on 40 recall points
Python and C++ codes for kitti-3d evaluation
Evaluation of 3D object detection performance on the KITTI dataset.
Paper reading notes on Deep Learning and Machine Learning
LSTM Auto-Encoder (LSTM-AE) implementation in Pytorch
The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
Meta learning framework with Tensorflow 2.0
OpenMMLab's next-generation platform for general 3D object detection.
Probabilistic reasoning and statistical analysis in TensorFlow
A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis
(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Pytorch implementation of cnn network
A simple pytorch implementation of CenterNet (Objects as Points)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.