cyberpegasus Goto Github PK
Name: CyberPegasus
Type: User
Bio: Think like a man of action, act like a man of thought.
Name: CyberPegasus
Type: User
Bio: Think like a man of action, act like a man of thought.
Anomaly detection related books, papers, videos, and toolboxes
🕶 A curated list of Tiny Object Detection papers and related resources.
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
Multi-view drone tracking datasets
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Example code for the book Fluent Python, First Edition (O'Reilly, 2015)
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
an implementation of the architecture of FastFlow (Jiawei Yu et al.)
Unoficial FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
books: 华章计算机科学丛书高清扫描
KUKA抓取平台搭建
CUDA Ops for calculating Kurtosis(or Excess Kurtosis) in pytorch.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
This repository shares the Longman Communication 3000 and 9000 words in simple txt and JSON formats.
My personal notes
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Pose Estimation Toolbox and Benchmark.
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
Jupyter notebook tutorials for MMTracking
Latex code for making neural networks diagrams
PyTorch Implementation of DARTS: Differentiable Architecture Search
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802
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.