yangqbo Goto Github PK

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-cvpr-paper

CVPR 论文收集，包含但不限于2021、2020、2019、2018、2017文章

awesome-model-quantization

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.

baetyl

Extend cloud computing, data and service seamlessly to edge devices.

computer-vision-based-vehicle-integrated-information-collection-system

University of Lincoln - Project

confidence_estimation

Learning Confidence for Out-of-Distribution Detection in Neural Networks

convlstm-action-recognition

Simple video-based action recognition pipeline using ConvLSTM

csi

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

deep-compression-pytorch

PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

deephash-papers

Must-read papers on deep learning to hash (DeepHash)

distilling-deep-rl-neuro-fuzzy

eeg-signals-classification-based-on-contrastive-predictive-coding

facebook-ai-detection-transformer-detr-object-detection

End-to-End Object Detection with Transformers

fire-detection-cnn

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)

keras-oneclassanomalydetection

[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.

knowledge_distillation_ad

lanqiao

🍦 蓝桥杯竞赛练习题的题解(C/C++/Java)-努力成为萌萌的程序媛～

learning-deep-features-for-one-class-classification

#Deep One class #Anomaly Detection

learnopencv

Learn OpenCV : C++ and Python Examples

libfewshot

LibFewShot: A Comprehensive Library for Few-shot Learning.

license-plate-recognition

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.

mae-scalable-vision-learners

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

mcl

Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)

mi-eeg-1d-cnn

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

ocnn_pytorch

onnx-yolov7-object-detection

Python scripts performing object detection using the YOLOv7 model in ONNX.

oodsurvey

The Official Repository for "Generalized OOD Detection: A Survey"

pagcp

PAGCP for the compression of YOLOv5

patchcore