Graph (network) embeddings evaluation framework via classification, gram martix construction for links prediction
-
Updated
Oct 10, 2019 - Python
Graph (network) embeddings evaluation framework via classification, gram martix construction for links prediction
Simple function that computes pairwaise cosine distance between several vectors at once, pytorch can only compute beween two vectors at a time, which is time consuming and inneficient when you have multiple vectors.
Gold standard resource for evaluation of Danish word embedding models.
A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets
Repository for the Master Thesis "Encoding semantic information about skills in the domain of human resources" in the University of Koblenz-Landau in cooperation with talentsconnect AG.
A monolingual and cross-lingual meta-embedding generation and evaluation framework
A framework for word embedding evaluation automation and visualization.
This is a repository for a Jupyter based tool to calculate Greedy Matching, Vector Extrema and Average Embedding evaluation metrics for generative AI chatbots
Open Source Embeddings Optimisation and Eval Framework for RAG/LLM Applications. Documentations at https://docs.vectorboard.ai/introduction
Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.
Interactive quality analysis for two-dimensional embeddings
Add a description, image, and links to the embedding-evaluation topic page so that developers can more easily learn about it.
To associate your repository with the embedding-evaluation topic, visit your repo's landing page and select "manage topics."