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active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

anomaly_detection_under_varying_visibility

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

awesome-lifelong-continual-learning

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

cannabis_strains

daml

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

dataloader_example

efficient_traffic_count_on_edge_devices

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

fedpvr

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

fedsers

Federated learning on SERS maps

fedssyn

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

fl_example

linear_constraint_bayesian_nmf

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

localsgd_convergence

manifold_mixup

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

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

mask_rcnn

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

mbnn_ad

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

memae

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

models

Models and examples built with TensorFlow

molecule_detection_and_quantification_vit

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

mycv

raman_spectra_matching_with_contrastive_learning

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

region_based_active_learning

On uncertainty estimation in active learning for image segmentation

segnet-tutorial

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

sers_map_visualization

tf-segnet

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

variational_dropout_sparsity

pytorch implementation of variational dropout sparsity

vit-pytorch

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