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

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
A colab notebook for training Stylegan2-ada on colab, transfer learning onto your own dataset.

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Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

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On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021))

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Joint parameterization and fitting of stroke clusters

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A Pytorch Implementation of a continuously rate adjustable learned image compression framework.

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Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

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Source Code for AAAI 2022 paper "Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching"

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Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.

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EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering

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Project NII pytorch scripts

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