📚 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.

Last update: Jan 17, 2022

Overview

Weird Deep Learning Metrics

📚 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.

Metric	Description	Notes
Churn	Shows the disagreement between two model's prediction. Higher the churn, more the disagreement. Bounds: [0,1]. Takes two prediction arrays as inputs and retuns churn percentage.	From this paper

Owner

Rahul Vigneswaran

GitHub Repository

Official PyTorch implementation of Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

This is the official PyTorch implementation of our paper: "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks". Our project website and video demos are here.

443 Dec 06, 2022

Code for our paper "Interactive Analysis of CNN Robustness"

Perturber Code for our paper "Interactive Analysis of CNN Robustness" Datasets Feature visualizations: Google Drive Fine-tuning checkpoints as saved m

0 Aug 17, 2021

[TPAMI 2021] iOD: Incremental Object Detection via Meta-Learning

Incremental Object Detection via Meta-Learning To appear in an upcoming issue of the IEEE Transactions on Pattern Analysis and Machine Intelligence (T

66 Jan 04, 2023

Videocaptioning.pytorch - A simple implementation of video captioning

pytorch implementation of video captioning recommend installing pytorch and pyth

2 Jan 01, 2022

Tandem Mass Spectrum Prediction with Graph Transformers

MassFormer This is the original implementation of MassFormer, a graph transformer for small molecule MS/MS prediction. Check out the preprint on arxiv

13 Oct 27, 2022

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

Introduction This tutorial is a complete re-imagining of how one should teach users the matplotlib library. Hopefully, this tutorial may serve as insp

1.1k Dec 29, 2022

code for Image Manipulation Detection by Multi-View Multi-Scale Supervision

MVSS-Net Code and models for ICCV 2021 paper: Image Manipulation Detection by Multi-View Multi-Scale Supervision Update 22.02.17, Pretrained model for

131 Dec 30, 2022

Semantic Edge Detection with Diverse Deep Supervision

Semantic Edge Detection with Diverse Deep Supervision This repository contains the code for our IJCV paper: "Semantic Edge Detection with Diverse Deep

12 Dec 31, 2022

Monitora la qualità della ricezione dei segnali radio nelle province siciliane.

FMap-server Monitora la qualità della ricezione dei segnali radio nelle province siciliane. Conversion data Frequency - StationName maps are stored in

5 May 24, 2021

Code for the Lovász-Softmax loss (CVPR 2018)

The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks Maxim Berman, Amal Ranne

1.3k Jan 04, 2023

Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

RawVSR This repo contains the official codes for our paper: Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference Xiaoh

23 Oct 08, 2022

Mmdetection3d Noted - MMDetection3D is an open source object detection toolbox based on PyTorch

MMDetection3D is an open source object detection toolbox based on PyTorch

13 Jan 06, 2023

Submission to Twitter's algorithmic bias bounty challenge

Twitter Ethics Challenge: Pixel Perfect Submission to Twitter's algorithmic bias bounty challenge, by Travis Hoppe (@metasemantic). Abstract We build

4 Aug 19, 2022

Civsim is a basic civilisation simulation and modelling system built in Python 3.8.

Civsim Introduction Civsim is a basic civilisation simulation and modelling system built in Python 3.8. It requires the following packages: perlin_noi

17 Aug 08, 2022

A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation".

Dual-Contrastive-Learning A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation". Y

85 Dec 26, 2022

📚 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.

Related tags

Overview

Weird Deep Learning Metrics

Owner

Rahul Vigneswaran

Official PyTorch implementation of Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

Code for our paper "Interactive Analysis of CNN Robustness"

[TPAMI 2021] iOD: Incremental Object Detection via Meta-Learning

Videocaptioning.pytorch - A simple implementation of video captioning

Tandem Mass Spectrum Prediction with Graph Transformers

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

code for Image Manipulation Detection by Multi-View Multi-Scale Supervision

Semantic Edge Detection with Diverse Deep Supervision

Monitora la qualità della ricezione dei segnali radio nelle province siciliane.

Code for the Lovász-Softmax loss (CVPR 2018)

Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

Mmdetection3d Noted - MMDetection3D is an open source object detection toolbox based on PyTorch

Submission to Twitter's algorithmic bias bounty challenge

Civsim is a basic civilisation simulation and modelling system built in Python 3.8.

A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation".

Framework for abstracting Amiga debuggers and access to AmigaOS libraries and devices.

Boundary-preserving Mask R-CNN (ECCV 2020)

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Code for "3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop"

Python library for science observations from the James Webb Space Telescope