PyCM
PyCM: Multiclass confusion matrix library in Python - Published in JOSS (2018)
PerMetrics
PerMetrics: A Framework of Performance Metrics for Machine Learning Models - Published in JOSS (2024)
TAXPASTA
TAXPASTA: TAXonomic Profile Aggregation and STAndardisation - Published in JOSS (2023)
seesus
seesus: a social, environmental, and economic sustainability classifier for Python - Published in JOSS (2024)
pactus
pactus: A Python framework for trajectory classification - Published in JOSS (2023)
pypots
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
flaml
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
proglearn
NeuroData's package for exploring and using progressive learning algorithms
mlni
Machine Learning in NeuroImaging (MLNI) is a python package that performs various tasks using neuroimaging data.
ammico
AI-based Media and Misinformation Content Analysis Tool: Analyze text and images
reflame
reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization
sdtf
Exploring streaming options for decision trees and random forests. Based on scikit-learn fork.
inference
Turn any computer or edge device into a command center for your computer vision projects.
stars-carla-experiments
This repository analyzes driving data recorded with the Carla Simulator using the STARS framework.
mapie
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
rastervision
An open source library and framework for deep learning on satellite and aerial imagery.
metacluster
MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
triton
:whale: Scripps Whale Acoustics Lab :earth_americas: Scripps Acoustic Ecology Lab - Triton with remoras in development
pytextclassifier
pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。
taxprofiler
Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data
@stdlib/utils-native-class
Determine the specification defined classification of an object.
llm-lct-sequencing
AI Semantic Insights: LLM Toolkit for Analysing Educational Practices and Knowledge Building.
classeval
Evaluation of supervised predictions for two-class and multi-class classifiers
@stdlib/ml-incr-binary-classification
Incrementally perform binary classification using stochastic gradient descent (SGD).
x-anylabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
automlpipeline.jl
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
projection-pursuit
An implementation of multivariate projection pursuit regression and univariate classification
learning-complexity-gradually
Repository of the paper "Learning complexity gradually in quantum machine learning models"
gandlf
A generalizable application framework for segmentation, regression, and classification using PyTorch
xanfis
X-ANFIS: An Extensible and Cross-Learning ANFIS Framework for Machine Learning Tasks
augmentedgaussianprocesses.jl
Gaussian Process package based on data augmentation, sparsity and natural gradients
pyntbci
The Python Noise-Tagging Brain-Computer interface (PyntBCI) library is a Python toolbox for the noise-tagging brain-computer interfacing (BCI) project developed at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
deforce
deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks
tsdb
a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.
deakin-ai-challenge2022
The Deakin Simpsons challenge 2022 is a computer vision competition that is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.
temporal-link-prediction
Code used in `Supervised temporal link prediction in large-scale real-world networks'
waveletml
WaveletML: A Scalable and Extensible Wavelet Neural Network Framework
heartpredict
HeartPredict is a Python library designed to analyze and predict heart failure outcomes using patient data.
zetahunter
Reproducible taxonomic classification for Zetaproteobacteria and other poorly resolved taxa.
cnn-soiltextureclassification
1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
dfg-fachsystematik-ontology
DFG Fachsystematik Ontology - DFG Classification of Scientific Disciplines, Research Areas, Review Boards and Subject Areas
siim-covid-19-detection
👩⚕️ Identification and Localization COVID-19 Abnormalities on Chest Radiographs
pytorch-project-template
A Simple Template For A PyTorch Classification Project 😄
ml-oneday-course
This is a one-day machine learning introductory course for beginners
deakin-ai-challenge2021
The Deakin Simpsons challenge 2021 is a computer vision competition for which the goal is to recognize Simpsons characters individually in images using machine learning/deep learning. The challenge is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.
evorbf
EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks
fridgie_paper
This is a paper and its supplementary material, bundled together.
prob-conf-mat
Confusion matrices with uncertainty quantification, experiment aggregation and significance testing.
stockpy-learn
Deep Learning Regression and Classification Library built on top of PyTorch and Pyro
porkcnn
A Small Project for Pork Barrel Legislation Classification Using Convolutional Neural Networks (Lour's Pork Barrel Classifier (羅老師肉桶法案分類器)🍖🐖 🥩🐷
diachrysia-classification
Classification of two twin moth species using microscopic spectroscopy and machine learning
califair-em
Official implementation of GUIDE-AI @ SIGMOD paper "Threshold-Independent Fair Matching through Score Calibration"
uksicconverter
📋 UK Standard Industrial Classification (SIC) 2007: section, division, class, sub-class and industries
bundesweiter_klinischer_krebsregisterdatensatz-datenschema_und_klassifikationen
Das Repository stellt Informationen zu Struktur und Klassifikationen des bundesweiten klinischen Krebsregisterdatensatzes bereit. Die verwendeten Klassifikationen bilden den derzeitigen Arbeitsstand des ZfKD ab. Ziel ist es, diesen Stand transparent bereit zu stellen und beteiligte Akteure zur gemeinsamen Harmonisierung von Standards einzuladen.
rl-based-adaptive-classifier
Deep Reinforcement Learning based adaptive time-series binary classifier.
machine-learning-neural-python
Introduction to artificial neural nets with Python
rrwnet
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", published in Expert Systems with Applications (Dec 2024).
balanced-nre
Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
df-dn-paper
Conceptual & empirical comparisons between decision forests & deep networks
asaca-automatic-speech-analysis-for-cognitive-assessment
The automatic system that can extract PRAAT-like speech features from raw speech wav files, and also can get low WER (<10) high quality transcriptions at the same time.