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A curated list of awesome anomaly detection resources
CVPR 论文收集,包含但不限于2021、2020、2019、2018、2017文章
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Extend cloud computing, data and service seamlessly to edge devices.
University of Lincoln - Project
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Simple video-based action recognition pipeline using ConvLSTM
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
A PyTorch implementation of the Deep SVDD anomaly detection method
Must-read papers on deep learning to hash (DeepHash)
End-to-End Object Detection with Transformers
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
🍦 蓝桥杯竞赛练习题的题解(C/C++/Java)-努力成为萌萌的程序媛~
#Deep One class #Anomaly Detection
Learn OpenCV : C++ and Python Examples
LibFewShot: A Comprehensive Library for Few-shot Learning.
This work is an updated implementation of LPRNet for Chilean License Plates, which is an end-to-end method for Automatic License Plate Recognition without preliminary character segmentation.
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430
Python scripts performing object detection using the YOLOv7 model in ONNX.
The Official Repository for "Generalized OOD Detection: A Survey"
PAGCP for the compression of YOLOv5
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.