Julia package of regularization functions for machine learning
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May 30, 2022 - Julia
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penalties
Here are 6 public repositories matching this topic...
📈 Build composable regularization penalties for Elixir ML with NxPenalties, enhancing your machine learning models with flexible tensor operations.
machine-learning elixir reinforcement-learning deep-learning optimization beam neural-networks regularization tensor lora axon penalties variational-inference loss-functions nx fine-tuning jit-compilation numerical-computing
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Jun 2, 2026 - Elixir
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
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Dec 5, 2025 - Elixir
This repository contains an implementation of the Q-learning algorithm using Gymnasium environments. It demonstrates training, evaluation, and visualization of an agent’s policy in a simple reinforcement learning setup.
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Oct 3, 2025 - Jupyter Notebook
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