Projects

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.

blind-source-separation dimensionality-reduction feature-extraction gpu high-performance-computing hpc latent-variables machine-learning matrix matrix-completion matrix-factorization non-negative-matrix-factorization pattern-extraction semi-supervised-learning tensor-decomposition tensor-factorization tensors text-preprocessing unsupervised-learning

Updated 6 months ago

alibi-detect • Rank 22.9 • Science 64%

Algorithms for outlier, adversarial and drift detection

adversarial anomaly concept-drift data-drift detection drift-detection images outlier semi-supervised-learning tabular-data text time-series unsupervised-learning

Updated 6 months ago

susi • Rank 5.8 • Science 77%

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

data-science machine-learning opensource pypi-package python self-organizing-map semi-supervised-learning som sphinx-doc supervised-learning unsupervised-learning

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".

book-chapter hyperspectral python semi-supervised-learning supervised-learning unsupervised-learning

Updated 6 months ago

pyprophet • Rank 12.4 • Science 49%

PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

data-independent-acquisition mass-spectrometry openswath proteomics python semi-supervised-learning swath-ms

Updated 6 months ago

iohmm • Rank 11.7 • Science 46%

Input Output Hidden Markov Model (IOHMM) in Python

graphical-models hidden-markov-model linear-models machine-learning python scikit-learn semi-supervised-learning sequence-labeling sequence-to-sequence statsmodels supervised-learning time-series unsupervised-learning

Updated 6 months ago

SGCP • Rank 10.5 • Science 46%

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

bioinformatics clustering genecoexpressionnetwork graphs networkclustering networks self-training semi-supervised-learning unsupervised-learning

Updated 5 months ago

https://github.com/amazon-science/semimtr-text-recognition • Rank 5.5 • Science 36%

Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

computer-vision consistency-regularization contrastive-learning deep-learning ocr pytorch scene-text-recognition self-supervised-learning semi-supervised-learning text-recognition

Updated 6 months ago

disc • Rank 8.3 • Science 23%

A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

deep-learning imputation semi-supervised-learning single-cell transcriptome

Updated 6 months ago

ssr • Rank 6.7 • Science 10%

An R package with Semi-Supervised Regression Methods

data-science machine-learning r regression semi-supervised-learning

Updated 5 months ago

https://github.com/chris-santiago/vime • Rank 1.1 • Science 10%

Reproducing the VIME framework for self- and semi-supervised learning to tabular domain.

hydra pytorch pytorch-lightning self-supervised-learning semi-supervised-learning taskfile

Updated 6 months ago

cross-speaker-emotion-transfer • Science 36%

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

conditional-layer-normalization cross-speaker deep-neural-networks emotion-transfer generative-model global-style-tokens neural-tts non-ar non-autoregressive parallel-tacotron pytorch semi-supervised-learning speech-synthesis text-to-speech tts

Updated 6 months ago

egsis • Science 26%

EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation

active-learning complex-networks dynamical-systems hacktoberfest image-segmentation semi-supervised-learning superpixels

Updated 6 months ago

shortr • Science 54%

A little lab of learning algorithms (in LUA). Less XAI, but better

ai clustering data-mining decision-trees explanation less-is-more lua multi-objective-optimization naive-bayes-classifier nearest-neighbors random-projection semi-supervised-learning teaching xai

Updated 5 months ago