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

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Deep Learningcomputer-visiondeep-learningmetricsdnnpytorchcomparisonpytorch-implementation
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
Rahul Vigneswaran
GitHub Repository
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

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Multi Agent Path Finding Algorithms

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Picasso: A CUDA-based Library for Deep Learning over 3D Meshes

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A simple software for capturing human body movements using the Kinect camera.

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NLG evaluation via Statistical Measures of Similarity: BaryScore, DepthScore, InfoLM

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Advances in Neural Information Processing Systems (NeurIPS), 2020.

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Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks

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QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Introduction QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and

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Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation

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Code for our NeurIPS 2021 paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains

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HNN: Human (Hollywood) Neural Network

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Progressive Image Deraining Networks: A Better and Simpler Baseline

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MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

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Spline is a tool that is capable of running locally as well as part of well known pipelines like Jenkins (Jenkinsfile), Travis CI (.travis.yml) or similar ones.

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Thomas Lehmann 29 Aug 22, 2022
This repo is a PyTorch implementation for Paper "Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds"

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Kaizhi Yang 42 Dec 09, 2022
QuakeLabeler is a Python package to create and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing.

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Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"

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