Scientific Software
Updated 6 months ago

MLxtend — Peer-reviewed • Rank 26.9 • Science 95%

MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack - Published in JOSS (2018)

Scientific Software
Updated 6 months ago

geocmeans — Peer-reviewed • Rank 9.8 • Science 93%

geocmeans: An R package for spatial fuzzy c-means - Published in JOSS (2023)

Scientific Software
Updated 6 months ago

Persistable — Peer-reviewed • Rank 9.5 • Science 93%

Persistable: persistent and stable clustering - Published in JOSS (2023)

Scientific Software
Updated 6 months ago

ClassiPyGRB — Peer-reviewed • Rank 7.5 • Science 93%

ClassiPyGRB: Machine Learning-Based Classification and Visualization of Gamma Ray Bursts using t-SNE - Published in JOSS (2024)

Updated 6 months ago

t-elf • Rank 5.5 • Science 85%

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

Updated 6 months ago

susi • Rank 5.8 • Science 77%

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Updated 6 months ago

hyperspectral-regression • Rank 4.4 • Science 77%

Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".

Updated 6 months ago

anomalib • Rank 23.1 • Science 54%

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Updated 6 months ago

boxsers • Rank 9.7 • Science 67%

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

Updated 6 months ago

goneat • Rank 7.0 • Science 67%

The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation

Updated 6 months ago

SGCP • Rank 10.5 • Science 46%

SGCP: a spectral self-learning method for clustering genes in co-expression networks

Updated 6 months ago

tyc-dataset • Rank 2.3 • Science 54%

Official and maintained implementation of the dataset paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023].

Updated 6 months ago

com.linkedin.isolation-forest • Rank 12.3 • Science 44%

A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

Updated 6 months ago

unsupervised_analysis • Rank 4.7 • Science 49%

A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

Updated 6 months ago

gap-stat • Rank 14.2 • Science 23%

Dynamically get the suggested clusters in the data for unsupervised learning.

Updated 6 months ago

rsetse • Rank 8.1 • Science 13%

This package is used to calculate the Strain Elevation Tension Spring embedding (SETSe) for networks in R

Updated 5 months ago

https://github.com/christophreich1996/smurf • Rank 1.8 • Science 10%

PyTorch port (inference only) of the paper "SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping" [CVPR 2021].

Updated 5 months ago

https://github.com/danymukesha/pca-pwa • Science 13%

simplified manner for insights and decision-making by visualizing complex relationships with PCA web application

Updated 5 months ago

https://github.com/cern-it-innovation/latent-ad-qml • Science 23%

Unsupervised anomaly detection in the latent space of high energy physics events with quantum machine learning.

Updated 5 months ago

https://github.com/agopal42/permakey • Science 10%

Code repository complementing the ICLR 2021 paper "Unsupervised Object Keypoint Learning using Local Spatial Predictability" (https://arxiv.org/abs/2011.12930)

Updated 6 months ago

approaching-an-unknown-communication-system • Science 54%

Code/supplement for the paper "Approaching an unknown communication system by latent space exploration and causal inference"

Updated 5 months ago

https://github.com/biodataanalysisgroup/kmeranalyzer • Science 10%

An alignment-free method capable of processing and counting k-mers in a reasonable time, while evaluating multiple values of the k parameter concurrently.

Updated 5 months ago

https://github.com/chris-santiago/bookmarks-topics • Science 13%

Using unsupervised learning and language modeling to cluster and reorganize web bookmarks.

Updated 6 months ago

imesc • Science 44%

This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.

Updated 5 months ago

https://github.com/awslabs/unsupervised-qa • Science 13%

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Updated 6 months ago

clusteranalysisbasedfastingpostprandialglucoseinsulin • Science 57%

Code of the paper "Cluster Analysis Based on Fasting and Postprandial Plasma Glucose and Insulin Concentrations"

Updated 5 months ago

https://github.com/barabasi-lab/ai-bind • Science 36%

Interpretable AI pipeline improving binding predictions for novel protein targets and ligands

Updated 6 months ago

r-python • Science 44%

Denetimsiz Makine Öğrenmesi Algoritmaları: R ve Python Uygulamaları Kitabındaki R ve Python kodları

Updated 6 months ago

tsdae • Science 54%

Tranformer-based Denoising AutoEncoder for Sentence Transformers Unsupervised pre-training.

Updated 5 months ago

https://github.com/ammarlodhi255/ml_spelled_out • Science 13%

Collection of notebooks and python code of various machine learning algorithms from scratch.

Updated 5 months ago

https://github.com/aiot-mlsys-lab/arch2vec • Science 10%

[NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang

Updated 5 months ago

https://github.com/aiot-mlsys-lab/cate • Science 10%

[ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang