Alternatives and similar repositories for HyperDimensionalComputingNeuralNetwork

Users that are interested in HyperDimensionalComputingNeuralNetwork are comparing it to the libraries listed below

• Cornell-RelaxML / Hyperdimensional-Computing
  Official implementation for the paper "Understanding Hyperdimensional Computing for Parallel Single-Pass Learning"
  ☆23Updated 2 years ago
• eardbi / hd-vhdl-library
  ☆11Updated 7 years ago
• hyperdimensional-computing / torchhd
  Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
  ☆330Updated 3 months ago
• webstorms / Blocks
  A new model for quickly training and simulating adaptive leaky integrate-and-fire spiking neural networks.
  ☆14Updated last year
• SeoLabCornell / torch2chip
  Torch2Chip (MLSys, 2024)
  ☆54Updated 6 months ago
• satabios / sconce
  E2E AutoML Model Compression Package
  ☆46Updated 7 months ago
• rejunity / tiny-asic-1_58bit-matrix-mul
  Tiny ASIC implementation for "The Era of 1-bit LLMs All Large Language Models are in 1.58 Bits" matrix multiplication unit
  ☆163Updated last year
• Intelligent-Computing-Lab-Panda / SpikeSim
  ☆39Updated last year
• srivatsankrishnan / oss-arch-gym
  Open source version of ArchGym project.
  ☆121Updated 6 months ago
• dubcyfor3 / Prosperity
  The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity
  ☆36Updated 2 months ago
• kmheckel / spyx
  Spyx: Spiking Neural Networks in JAX
  ☆125Updated 11 months ago
• vtabbott / Algebraic-NCD
  A package for defining deep learning models using categorical algebraic expressions.
  ☆61Updated last year
• IBM / analog-nas
  Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural…
  ☆49Updated 3 weeks ago
• nesl / neurosymbolic-tinyml
  TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
  ☆24Updated 2 years ago
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆107Updated 11 months ago
• e-dupuis / awesome-approximate-dnn
  Curated content for DNN approximation, acceleration ... with a focus on hardware accelerator and deployment
  ☆27Updated last year
• DeepWok / mase
  Machine-Learning Accelerator System Exploration Tools
  ☆178Updated last week
• MAGICS-LAB / OutEffHop
  [ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
  ☆20Updated 5 months ago
• rain-neuromorphics / energy-based-learning
  Code to simulate energy-based analog systems and equilibrium propagation
  ☆30Updated 6 months ago
• zhuhanqing / Lightening-Transformer-AE
  Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accele…
  ☆10Updated last year
• pilancilab / caldera
  Compressing Large Language Models using Low Precision and Low Rank Decomposition
  ☆101Updated 10 months ago
• sunpengfei1122 / DLTC
  ☆10Updated 5 months ago
• mcbal / spin-model-transformers
  Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
  ☆43Updated last year
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆154Updated 11 months ago
• Decentralised-AI / LFM-Liquid-AI-Liquid-Foundation-Models
  An open source implementation of LFMs from Liquid AI: Liquid Foundation Models
  ☆113Updated last year
• sandialabs / cross-sim
  CrossSim: accuracy simulation of analog in-memory computing
  ☆176Updated 6 months ago
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆155Updated last year
• mit-emze / cimloop
  ☆64Updated this week
• Xing-CHEN18 / NeuralODEs_for_physics
  ☆10Updated 3 years ago
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated last year