Julia package of regularization functions for machine learning
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Updated
May 30, 2022 - Julia
Julia package of regularization functions for machine learning
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.
YARCoin project introduces a token based auction mechanism where mentors bid on candidates using YARCoins (YARC Tokens) according to their skills, talents, potential, and interests. Once a candidate is allocated, mentors guide candidates through collaboration within an integrated team workspace, enabling structured mentorship & fair recognition
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.
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