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Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

  • deep-learning
  • protein-sequences
  • protein-structure
  • semi-supervised-learning

A knowledge graph and a set of tools for drug repurposing

  • drug-repurposing
  • knowledge-graph
  • graph-neural-networks
  • knowledge-graph-embeddings

Nimfa: Nonnegative matrix factorization in Python

  • matrix-factorization
  • latent-features
  • latent-variable-models
  • nonnegative-matrix-factorization

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.