Minima is a one-size-fits-all Jekyll theme for writers.

[CVPR 2025] MINIMA: Modality Invariant Image Matching

Standalone analytics app in a CLI

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Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"

The Minima protocol Java libraries and application

A minimal example for running Github Pages with the minima theme.

All nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.

Minima is an homage to the 8-bit Ultima games (especially Ultima II - Ultima V) written in the PICO-8 environment.

Minima Node Kurulumu (ödüllü) Türkçe rehberi sizlerle.

Matlab implementation of the paper Noise Spectrum Estimation in Adverse Environments: Improved Minima Controlled Recursive Averaging

A simple algorithm to find local maxima/minima in sequential data

The artificial potential field (APF) approach provides a simple and effective motion planning method for practical purpose. The current developed project was developed in Matlab with improved algorithms which overcomes the local minima problems.

Minima administrator concept for Joomla! 1.7

A responsive Bootstrap port of Minima, Jekyll's default theme.

Minima's Arduino software. Useful for controlling a homebrew Si570 based superhet transceiver/receiver.

Personal GitHub Pages site using Jekyll Minima.

Visualizing the structure of planning problems using local-minima trees

A minimal eleventy starter theme with design token, rss feed, service workers ...

Decentralised applications running on the Minima network. Unstoppable Layer 2 infra.

A simple, minimal Jekyll theme for an academic website based on the minima theme

Noise-level estimation using minima controlled recursive averaging approach and denoising using Stein's unbiased risk estimates in STFT domain.

A Saber Port of the Default Jekyll Theme: Minima

Anteform is a retro weird detective game written using the Minima Engine for PICO-8.

SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning

Carta aberta de críticas ao Todos@Web. Análise de como o projetos mais comuns na internet têm chances mínimas de ganhar uma premiação por causa de seu conteúdo, ao invés da técnica de acessibilidade implementada, e outras sugestões

Android version of Minima

Javascript library with functions for differentiation, integration and for finding local minima and maxima

Exploring UNO R4 Minima & WiFi features.

[ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"