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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

artificial_image_generator

Artificial image generator

assignmentgit

atworkmodels

Semantic segmentation models for @work

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

curriculum-learning

Effects of Curriculum Learning on Self-Supervised AutoEncoders

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

emdl

Embedded and mobile deep learning research resources

foundationcourse

foundationstart

hackathon

la_assignments_ss2018

This repository is for the assignments of the course learning and adaptivity.

learning-to-teach

logo_detector

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

nail-anomalies

nct

The official PyTorch code for WACV'21 Paper "Noisy Concurrent Training for Efficient Learning under Label Noise"

neuralnetworks

neural networks forum hbrs/ss17

numpy-ml

Machine learning, in numpy

project-autobake

project-autobake created by GitHub Classroom

project-awesomebakery

project-awesomebakery created by GitHub Classroom

project-pieceofcake

project-pieceofcake created by GitHub Classroom

ros_hackathon

Package to handle ros hackathon tasks

semanticsegmentation

Semantic Segmentation using Resource Efficient Deep Learning

tensorflow

Computation using data flow graphs for scalable machine learning