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Search results for metrics classification
classification
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metrics
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19 search results found
Supervision
⭐
9,320
We write your reusable computer vision tools. 💜
Sharplearning
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372
Machine learning for C# .Net
Artificial Adversary
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317
🗣️ Tool to generate adversarial text examples and test machine learning models against them
Magnetloss Pytorch
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213
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Noether
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90
Scala Aggregators used for ML Model metrics monitoring
Ashpy
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86
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
Metrics
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82
An R package for common supervised machine learning metrics.
Bpt
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74
Source code of paper "BP-Transformer: Modelling Long-Range Context via Binary Partitioning"
Pymetric
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63
pytorch metric learning tools and pycls
Volkscv
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44
A Python toolbox for computer vision research and project
Permetrics
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33
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
Clfzoo
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32
A deep text classifiers library.
Clana
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28
CLANA is a toolkit for classifier analysis.
Awesome Few Shot Meta Learning
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27
awesome few shot / meta learning papers
Krisi
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19
⏳ Evaluation of Time-Series Predictions with powerful pdf and web Reporting. Tailored for evaluation of metrics over time!
Sm Mlc
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19
Multilabel Classification - Problem analysis, metrics and techniques software and data repository
Disarray
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15
Confusion matrix metrics directly from your pandas DataFrame
Proclam
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12
PRObabilistic CLAssification Metrics for PLAsTiCC
Confusion Matrix
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11
Confusion matrix for supervised classification
Ml_evaluation_metrics
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10
Landscape of ML/DL performance evaluation metrics
Pytorch Hyperlight
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9
The ML micro-framework built as a thin wrapper around PyTorch-Lightning and Ray Tune frameworks to push the boundaries of simplicity even further.
Metric Guided Prototypes Pytorch
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9
PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.
Social Networks Ads
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8
One of the most basic data sets to learn and implement some of the most easy and basic algorithms of machine learning and visualization
Pairloss
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8
Code for paper 'When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs (TGRS)'
Pmet
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7
classification and metric learning on strings
Kaggle Metrics
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5
Metrics for Kaggle competitions 📏
Gm Cml
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5
Generative Model with Coordinate Metric Learning
Predictor_stacker
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5
Linear Predictor Stacker aims at optimizing predictor's weights against a ML metric
Project
⭐
5
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1-19 of 19 search results
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