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Search results for machine learning metrics
machine-learning
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metrics
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83 search results found
Supervision
⭐
9,320
We write your reusable computer vision tools. 💜
Pixie
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5,247
Instant Kubernetes-Native Application Observability
Aim
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4,497
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Ignite
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4,409
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Serve
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3,844
Serve, optimize and scale PyTorch models in production
Map
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2,685
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Pytorch Nlp
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2,180
Basic Utilities for PyTorch Natural Language Processing (NLP)
Torchmetrics
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1,894
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
Moses
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730
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Openllmetry
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664
Open-source observability for your LLM application, based on OpenTelemetry
N2
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547
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
Image Similarity Measures
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482
📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
Powerful Benchmarker
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426
A library for ML benchmarking. It's powerful.
Sharplearning
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372
Machine learning for C# .Net
Comet
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346
A Neural Framework for MT Evaluation
Artificial Adversary
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317
🗣️ Tool to generate adversarial text examples and test machine learning models against them
Rexmex
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269
A general purpose recommender metrics library for fair evaluation.
Uq360
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228
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Mmeval
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216
A unified evaluation library for multiple machine learning libraries
Ml_logger
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183
A logger, server and visualization dashboard for ML projects
Jury
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167
Comprehensive NLP Evaluation System
Keras Metrics
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165
Metrics for Keras. DEPRECATED since Keras 2.3.0
Active Monitor
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157
Provides deep monitoring and self-healing of Kubernetes clusters
Tensordash
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139
TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.
Understat
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139
An asynchronous Python package for https://understat.com/.
Google Rules Of Machine Learning
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136
Github mirror of M. Zinkevich's "Rules of Machine Learning" style guide, with extra goodness.
Lift
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129
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
Generative Evaluation Prdc
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121
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
Limes
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114
Link Discovery Framework for Metric Spaces.
Confidenceinterval
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101
The long missing library for python confidence intervals
Aethos
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100
Automated Data Science and Machine Learning library to optimize workflow.
Model_log
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94
Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具,可以记录模型训练过程当中的超参数、Loss、Accur
Cotk
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93
Conversational Toolkit. An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
Sanpy
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91
Santiment API Python Client
Noether
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90
Scala Aggregators used for ML Model metrics monitoring
Flux3d.jl
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90
3D computer vision library in Julia
Ashpy
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86
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
Torch Metrics
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78
Metrics for model evaluation in pytorch
Fasttrackml
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77
Experiment tracking server focused on speed and scalability
Valence Manifests
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72
Rightsize and Autoscale Containers Intelligently for Performance and Cost Management in Kubernetes: A SLO Autoscaler
Mlapp
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71
ML model serving app based on APIs
Mlops.net
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69
A machine learning model operations and management tool for ML.NET
Dreml
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66
PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)
Mlinsights
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65
Extends scikit-learn with new models, transformers, metrics, plotting.
Fairness_tutorial
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65
Hands-on tutorial on ML Fairness
Amazon Sagemaker Clarify
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63
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
The Weather Scraper
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58
A Lightweight Weather Scraper
Dml
⭐
57
R package for Distance Metric Learning
Stream Learn
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50
The stream-learn is an open-source Python library for difficult data stream analysis.
Alchemy
⭐
50
Experiments logging & visualization
Ml_competition_platform
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49
Kaggle-like machine learning competition platform
Pymia
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47
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
Textfeatureselection
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45
Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
Simpleder
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44
A lightweight library to compute Diarization Error Rate (DER).
Onemetric
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43
One Metrics Library to Rule Them All!
Deep Learning Notes
⭐
40
Notes from the DeepLearning.AI courses
Aiops Engine For Skywalking
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36
This is an incubating repository of the Apache SkyWalking AIOps Engine
Fastauc
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33
Three fast ROC AUC calculation implementations for python
Machine Learning Interactive Visualization
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33
Interactive visualization of machine learning model evaluation metrics
Mofdscribe
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32
An ecosystem for digital reticular chemistry
Jurity
⭐
31
[ICMLA 2021] Jurity: Fairness & Evaluation Library
Insults
⭐
31
Code for the Kaggle insult competition
Clana
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28
CLANA is a toolkit for classifier analysis.
Fairness.jl
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28
Julia Toolkit with fairness metrics and bias mitigation algorithms
Tf Metric Learning
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28
Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.
Fairness
⭐
27
R package for computing and visualizing fair ML metrics
Modelmetrics
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26
Rapid Calculation of Model Metrics
Machine Learning Toolkits With Python
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26
Machine learning toolkits with Python
Mltb
⭐
25
Machine Learning Tool Box
Openllmetry Js
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24
Sister project to OpenLLMetry, but in Typescript. Open-source observability for your LLM application, based on OpenTelemetry
Explanation Quality Recsys
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23
Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs
Cartpole Rl Remote
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22
CartPole game by Reinforcement Learning, a journey from training to inference
Doddle Model Examples
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18
🍪 doddle-model code examples
Autoencoder_vs_metriclearning
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17
AutoEncoder vs Metric Learning for Anomaly Detection
Adversedrive
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16
Attacking Vision based Perception in End-to-end Autonomous Driving Models
Disarray
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15
Confusion matrix metrics directly from your pandas DataFrame
Track
⭐
15
Track your ML project!
Record Keeper
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14
Record experiment data easily
C3m
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14
Learning Certified Control Using Contraction Metric (CoRL 2020)
Ai Toolkit
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13
Unifying all code detailing learned ML concepts for easy reuse.
Fseval
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13
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
Lingo
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13
Infer the gender of an individual based on their name.
Adversarialprediction.jl
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12
Easily optimize generic performance metrics in differentiable learning.
Kagoole
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12
Search kaggle competitions and solutions based on data and predict type, evaluation metric, etc.
Multiscorer
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12
A module for allowing the use of multiple metric functions in scikit's cross_val_score
Visdom Docker
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12
Visdom Docker
Math For Ml
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12
Mathematical preliminaries for machine learning
Automatic Clustering Via Outward Statistical Testing On Density Metrics
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12
This algorithm proposes a new clustering algorithm that can detect the clustering centers automatically via statistical testing.
Snips Nlu Metrics
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11
Python package to compute metrics on an NLU intent parsing pipeline
Tiny Sklearn
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11
Tiny implementation of important algorithms in scikit-learn. Useful when understanding ML algorithms and scikit-learn.
Torchfusion Utils
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11
A pytorch helper library for Mixed Precision Training, Initialization, Metrics and More Utilities to simplify training of deep learning models
Metrics.jl
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11
Metrics for evaluation of Machine Learning and Deep Learning Models
Ml Metrics
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11
Threshold analysis
Linora
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11
Simple and efficient tools for data science.
Ml_evaluation_metrics
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10
Landscape of ML/DL performance evaluation metrics
Anime Recommendation System
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10
The backed for an anime recommender system that combines multiple methods to provide a variety of recommendations to users based on different similarity metrics
Product Catalog Size Recommendation Framework
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10
Framework based on latent factor model and metric learning technique to predict fit of different catalog sizes of clothing products so as to recommend appropriately sized products to customers.
Metricsweighted
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10
R package for weighted model metrics
Metric Guided Prototypes Pytorch
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9
PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.
Torchero
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9
A training framework for pytorch
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