Bo Li's repositories

memAE

unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection

raman_spectra_matching_with_contrastive_learning

Official implementation for paper "Raman spectra matching with contrastive representation learning"

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region_based_active_learning

On uncertainty estimation in active learning for image segmentation

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anomaly_detection_under_varying_visibility

Anomaly detection in the surveillance videos under varying visibility (day-night and sunny-rainy)

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fedpvr

Implementation for paper "Partial Variance Reduction improves Non-Convex Federated learning on heterogeneous data"

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fedssyn

Official implementation of the paper "Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity"

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molecule_detection_and_quantification_vit

Official implementation for paper "Nitroaromatic explosives detection and quantification using attention-based transformer on surface-enhanced Raman spectroscopy maps"

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mbnn_ad

Multi-branch Neural Networks for Anomaly Detection under adverse lighting and weather conditions

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variational_dropout_sparsity

pytorch implementation of variational dropout sparsity

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daml

This is an implementation for paper Decoupled appearance and motion learning for efficient anomaly detection in surveillance videos

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manifold_mixup

first implementation of manifold mixup on the basis of resnet-18

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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Active-Learning-Bayesian-Convolutional-Neural-Networks

Active Learning on Image Data using Bayesian ConvNets

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awesome-lifelong-continual-learning

A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning

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efficient_traffic_count_on_edge_devices

This is an implementation for paper Automated training of location-specific edge models for traffic counting

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fedsers

Federated learning on SERS maps

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Linear_Constraint_Bayesian_NMF

This is an implementation for paper Linearly constraint Bayesian Matrix Factorization for Blind Source Separation

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markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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models

Models and examples built with TensorFlow

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SegNet-Tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

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TF-SegNet

SegNet-like network implemented in TensorFlow to use for segmenting aerial images

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