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nshkr-data

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North-Shore-AI / embed_ex

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Vector embeddings service for Elixir—multi-provider support (OpenAI, Cohere, Voyage AI), intelligent caching with Cachex, batch processing with rate limiting, Nx-powered similarity computations, k-means/DBSCAN clustering, semantic deduplication, and ETS-based vector storage. Built for CNS and ML pipelines.

nlp caching machine-learning elixir otp clustering beam embeddings openai kmeans cosine-similarity semantic-search deduplication nx similarity-search cohere vector-database vector-embeddings nshkr-data north-shore-ai
  • Updated Apr 23, 2026
  • Elixir

North-Shore-AI / nx_penalties

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Composable regularization penalties for Elixir Nx. L1/L2/Elastic Net, KL divergence, entropy, consistency, gradient penalty, orthogonality. Pure Nx.Defn for JIT across EXLA/Torchx. Pipeline composition and Axon.Loop integration.

machine-learning elixir reinforcement-learning deep-learning functional-programming optimization beam neural-networks regularization tensor lora axon penalties variational-inference loss-functions nx fine-tuning jit-compilation numerical-computing nshkr-data
  • Updated Dec 5, 2025
  • Elixir

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