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Heba-Atef99 / ML_optimization_algorithms

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This is an implementation of differ 8000 ent optimization algorithms such as: - Gradient Descent (stochastic - mini-batch - batch) - Momentum - NAG - Adagrad - RMS-prop - BFGS - Adam Also, most of them are implemented in vectorized form for multi-variate problems

batch stochastic multivariate gradient-descent mini-batch adagrad rmsprop nag adam-optimizer momentum-optimization-algorithm bfgs-algorithm
  • Updated Apr 3, 2023
  • Jupyter Notebook

SystemTopologyManifest / system-topology-manifest

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System Topology Manifest (STM) defines a graph-structured metadata standard describing how services connect, trigger, and exchange data—enabling Network-, Knowledge-, and Retrieval-Augmented AI systems to reason over real-world system topologies.

ai ontology knowledge-graph workflow-automation nag open-standard kag rag machine-readable metadata-schema data-topology ai-orchestration ai-scaffolding system-topology deterministic-ai graph-structured-data semantic-schema cognitive-scaffolding infrastructure-graph
  • Updated Jan 7, 2026

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