Scientific Software
Updated 6 months ago

Efficiently Learning Relative Similarity Embeddings with Crowdsourcing — Peer-reviewed • Rank 3.2 • Science 98%

Efficiently Learning Relative Similarity Embeddings with Crowdsourcing - Published in JOSS (2023)

Mathematics Computer Science
Scientific Software · Peer-reviewed
Scientific Software
Updated 6 months ago

cblearn — Peer-reviewed • Rank 4.7 • Science 95%

cblearn: Comparison-based Machine Learning in Python - Published in JOSS (2024)

Updated 6 months ago

opentsne • Rank 20.4 • Science 59%

Extensible, parallel implementations of t-SNE

Updated 6 months ago

embedding-atlas • Rank 18.6 • Science 54%

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.

Mathematics Sociology
Updated 5 months ago

https://github.com/cair/pytsetlinmachine • Rank 10.6 • Science 49%

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget

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 6 months ago

disambed • Science 44%

Create embeddings for RDF-graphs using the GloVe model

Updated 6 months ago

iflye • Science 26%

Incremental Fast Lightweight (y) virtual network Embedding framework

Updated 5 months ago

https://github.com/bacpop/mandrake • Science 13%

Mandrake 🌿/👨‍🔬🦆 – Fast visualisation of the population structure of pathogens using Stochastic Cluster Embedding

Updated 6 months ago

rage • Science 26%

RagE (RAG Engine) - A tool supporting the construction and training of components of the Retrieval-Augmented-Generation (RAG) model. It also facilitates the rapid development of Q&A systems and chatbots following the RAG model.

Updated 6 months ago

nbed • Science 62%

Python package to reduce the qubit requirements of quantum simulation by embedding into DFT.