📚 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

Dieser Scanner findet Websites, die nicht direkt in Suchmaschinen auftauchen, aber trotzdem erreichbar sind.

Deep Web Scanner Dieses Script findet Websites, die per IPv4-Adresse erreichbar sind und speichert deren Metadaten. Die Ausgabe im Terminal wird nach

30 Nov 18, 2022

Object Database for Super Mario Galaxy 1/2.

Super Mario Galaxy Object Database Welcome to the public object database for Super Mario Galaxy and Super Mario Galaxy 2. Here, we document all object

9 Dec 04, 2022

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

IIM - Crowd Localization This repo is the official implementation of paper: Learning Independent Instance Maps for Crowd Localization. The code is dev

91 Nov 10, 2022

Sign Language is detected in realtime using video sequences. Our approach involves MediaPipe Holistic for keypoints extraction and LSTM Model for prediction.

RealTime Sign Language Detection using Action Recognition Approach Real-Time Sign Language is commonly predicted using models whose architecture consi

15 Aug 20, 2022

ONNX Runtime Web demo is an interactive demo portal showing real use cases running ONNX Runtime Web in VueJS.

ONNX Runtime Web demo is an interactive demo portal showing real use cases running ONNX Runtime Web in VueJS. It currently supports four examples for you to quickly experience the power of ONNX Runti

58 Dec 18, 2022

MVSDF - Learning Signed Distance Field for Multi-view Surface Reconstruction

MVSDF - Learning Signed Distance Field for Multi-view Surface Reconstruction This is the official implementation for the ICCV 2021 paper Learning Sign

110 Dec 20, 2022

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

PhyCRNet Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs Paper link: [ArXiv] By: Pu Ren, Chengping Rao, Yang

11 Aug 23, 2022

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Molecular Sets (MOSES): A benchmarking platform for molecular generation models Deep generative models are rapidly becoming popular for the discovery

656 Dec 29, 2022

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

GCNet for Object Detection By Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu. This repo is a official implementation of "GCNet: Non-local Networ

1.1k Dec 29, 2022

A PyTorch-Based Framework for Deep Learning in Computer Vision

TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision @misc{you2019torchcv, author = {Ansheng You and Xiangtai Li and Zhen Zhu a

2.2k Jan 09, 2023

Multi-agent reinforcement learning algorithm and environment

Multi-agent reinforcement learning algorithm and environment [en/cn] Pytorch implements multi-agent reinforcement learning algorithms including IQL, Q

7 Sep 20, 2022

Degree-Quant: Quantization-Aware Training for Graph Neural Networks.

Degree-Quant This repo provides a clean re-implementation of the code associated with the paper Degree-Quant: Quantization-Aware Training for Graph Ne

35 Oct 07, 2022

(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

NeRF--: Neural Radiance Fields Without Known Camera Parameters Project Page | Arxiv | Colab Notebook | Data Zirui Wang¹, Shangzhe Wu², Weidi Xie², Min

411 Dec 26, 2022

Gym-TORCS is the reinforcement learning (RL) environment in TORCS domain with OpenAI-gym-like interface.

Gym-TORCS Gym-TORCS is the reinforcement learning (RL) environment in TORCS domain with OpenAI-gym-like interface. TORCS is the open-rource realistic

400 Dec 27, 2022

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search DropNAS, a grouped operation dropout method for one-level DARTS, with better

4 Aug 15, 2022

Code associated with the paper "Towards Understanding the Data Dependency of Mixup-style Training".

Mixup-Data-Dependency Code associated with the paper "Towards Understanding the Data Dependency of Mixup-style Training". Running Alternating Line Exp

0 Nov 11, 2021

Image Segmentation and Object Detection in Pytorch

Image Segmentation and Object Detection in Pytorch Pytorch-Segmentation-Detection is a library for image segmentation and object detection with report

732 Dec 10, 2022

Residual Pathway Priors for Soft Equivariance Constraints

Residual Pathway Priors for Soft Equivariance Constraints This repo contains the implementation and the experiments for the paper Residual Pathway Pri

13 Oct 12, 2022

Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization

FAC-Net Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization Linjiang Huang (CUHK), Liang Wang (CASIA), Hongsheng

21 Nov 22, 2022

Layer 7 DDoS Panel with Cloudflare Bypass ( UAM, CAPTCHA, BFM, etc.. )

Blood Deluxe DDoS DDoS Attack Panel includes CloudFlare Bypass (UAM, CAPTCHA, BFM, etc..)(It works intermittently. Working on it) Don't attack any web

272 Nov 01, 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

Dieser Scanner findet Websites, die nicht direkt in Suchmaschinen auftauchen, aber trotzdem erreichbar sind.

Object Database for Super Mario Galaxy 1/2.

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

Sign Language is detected in realtime using video sequences. Our approach involves MediaPipe Holistic for keypoints extraction and LSTM Model for prediction.

ONNX Runtime Web demo is an interactive demo portal showing real use cases running ONNX Runtime Web in VueJS.

MVSDF - Learning Signed Distance Field for Multi-view Surface Reconstruction

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

A PyTorch-Based Framework for Deep Learning in Computer Vision

Multi-agent reinforcement learning algorithm and environment

Degree-Quant: Quantization-Aware Training for Graph Neural Networks.

(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

Gym-TORCS is the reinforcement learning (RL) environment in TORCS domain with OpenAI-gym-like interface.

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search

Code associated with the paper "Towards Understanding the Data Dependency of Mixup-style Training".

Image Segmentation and Object Detection in Pytorch

Residual Pathway Priors for Soft Equivariance Constraints

Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization

Layer 7 DDoS Panel with Cloudflare Bypass ( UAM, CAPTCHA, BFM, etc.. )