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zedarvates / GemReward-Service

Star 2

roof‑of‑Contribution Chain traceable token contributions in a Web3‑adjacent ecosystem (without classic blockchain complexity) earn voting power on roadmap priorities Closed Gem Economy: gems act as currency in the NexRealm Marketplace for assets, earned through real contributions Cross‑Project Gems: gems become portable across creative ecosystems

token-economy proof-of-contribution energy-efficient-ai trustless-systems distributed-intelligence proof-of-intelligence gpu-mesh agent-economy decentralized-compute ai-economy roof-of-compute compute-economy p2p-compute compute-arbitrage ai-contributions web3-adjacent verifiable-contributions compute-sustainability api-budget-recycling zedarvates
  • Updated Jun 27, 2026
  • Python
edrvfl

L-A-Sandhu / edrvfl

Star 2

Ensemble Deep Random Vector Functional Link with Skip Connections (edRVFL-SC) No GPU required • 100× faster training

regression time-series-analysis resource-constrained-ml ensemble-methods edge-ai efficient-neural-networks real-time-prediction iot-machine-learning energy-efficient-ai gpu-free-machine-learning cpu-only-deep-learning fast-training-algorithms non-iterative-learning lightweight-deep-learning
  • Updated Jul 18, 2025
  • Python

maestrosalah-dev / relational-time-engine

Star 1

Relational Time Engine (RTE): runtime density regulation for compute-efficient transformer inference. Demonstrates up to 75% layer reduction with improved latency and throughput.

python benchmark machine-learning deep-learning transformer event-driven energy-efficiency ai-systems inference-optimization early-exit transformer-architecture green-ai ai-optimization runtime-systems efficient-ai energy-efficient-ai transformer-inference-overhead runtime-gating relational-time
  • Updated Mar 12, 2026
  • Python

MPender08 / Geometry-Aware-Plasticity

Star 0

GAP is a biologically plausible learning algorithm designed for Dynamically Gated Analog Crossbars (DGAC). It bridges the gap between the energy efficiency of local Hebbian learning and the global optimization power of backpropagation by utilizing dynamic Riemannian curvature.

pytorch computational-neuroscience neuromorphic-computing stdp non-euclidean-geometry biologically-plausible-learning energy-efficient-ai riemannian-manifolds memristor-arrays analog-vlsi
  • Updated Mar 28, 2026
  • Python

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