Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
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Jun 19, 2025 - Python
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Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI.
python privacy-first neuro-symbolic hyperdimensional-computing vector-symbolic-architecture local-ai ollama agent-memory
The Fuzzy-Pattern Tsetlin Machine library, with zero external dependencies, performs blazingly fast.
benchmark machine-learning performance julia-language text-generation multithreading text-generator hdc vsa tsetlin-machine hyperdimensional-computing vector-symbolic-architecture
Hyperdimensional Computing Library for building Vector-Symbolic Architectures in Python 3
Cognitive Computing with Associative Memory
machine-learning algorithm machine-learning-algorithms artificial-intelligence neural-networks artificial-general-intelligence cognitive-science associative-memory content-addressable-storage sparse-distributed-memory sparse-representations self-supervised-learning vector-symbolic-architectures hyperdimensional-computing
Accelerator for Hyperdimensional Computing (HDC)
machine-learning accelerator hdc hyperdimensional hd-computing hyperdimensional-computing vector-symbolic-architecture
Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).
machine-learning computational permutation reasoning winnow majority hyperdimensional-computing vector-symbolic-architecture hypervector binary-spatter-code
Hyperdimensional computing in JAX, with statistical guarantees.
Local-first associative memory and vector search for AI agents, with Rust, Python, Node.js, and MCP integrations.
nodejs rust machine-learning embeddings knowledge-graph hopfield-network semantic-search associative-memory knowledge-representation hdc privacy-preserving rag edge-ai neuro-symbolic local-first vector-database hyperdimensional-computing vector-symbolic-architecture analogical-reasoning mcp-server
rust machine-learning memory ai-agents cognitive-architecture fastapi vector-database hyperdimensional-computing crewai langgraph
Intro to Hyperdimensional Computing (HDC) using a tea dataset
A computational foundation for AGI, based on hyperdimensional computing and framed in set theory.
agi set-theory nearest-neighbor-search spiking-neural-networks associative-memory knowledge-representation hypergraphs cognitive-architecture sparse-distributed-memory neuromorphic-computing theoretical-neuroscience symbolic-ai computational-theory-of-mind hyperdimensional-computing in-memory-computing sparse-distributed-representations
A collection of Hyperdimensional Computing (HDC) models implemented in C++
A Rust library for hyperdimensional computing (HDC)
Symthaea: Consciousness-first cognitive architecture — HDC (16,384D) + CfC + IIT + FEP. Live portal: symthaea.luminousdynamics.io
rust neuroscience artificial-intelligence cognitive-architecture consciousness free-energy-principle active-inference hyperdimensional-computing integrated-information-theory liquid-time-constant
HD3C: A lightweight classification framework designed for low-power devices.
An automated HDC platform
A chef's palate for AI agent memory; Un-mix any day's work into its exact projects, and detect workstreams nobody has named yet. Hyperdimensional fingerprints, zero dependencies.
Sema is a non-parametric, instance-based reasoning system: a Vector Symbolic Architecture over a content-addressable memory, with inference by weighted automated deduction.
artificial-intelligence nlp-machine-learning cognitive-architecture explainable-ai hyperdimensional-computing vector-symbolic-architecture
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