A summary of code optimization techniques and methods

Boost Valheim's FPS to forge a smoother Viking journey!

Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.

Primal-Dual algorithm for smooth regularization of non-smooth optimization functions

Optimization Techniques Lab (MA39207)

A collection of optimization methods in engineering applications (OMEA), implemented in Python — including linear, nonlinear and constrained, with examples.

🔍 Explore curated resources on Reinforcement Learning with Verifiable Rewards (RLVR) and the reasoning limits of Large Language Models (LLMs).

This repository contains the implementation of a Part-of-Speech (POS) tagging system using Hidden Markov Models (HMMs) along with various decoding techniques and adversarial training strategies for sequence labeling tasks. Project for course DSCI 599 - Optimization Techniques for Data Science, Fall 2023

HIV Data Simulation in Python (Master's Thesis Model)

This repository contains my solutions to various problems from Codeforces contests, aimed at improving problem-solving skills in competitive programming. Each submission is stored with detailed information, including contest IDs and problem names, making it easy to track progress and learn from past solutions.

HIV Data Simulation in R (Master's Thesis Model)

All codes related to Optimization Techniques using Matlab

Lösung zur Grundwasserüberwachung mittels Ameisenkolonieoptimierung (Solution for groundwater monitoring using ant colony optimization)

Using Bayesian optimization to design an optimal urban drainage network

in-depth analysis and comparison of eight leading in-memory subgraph matching algorithms, QuickSI, GraphQL, CFL, CECI, DP-iso, RI, and VF2++.

Implementation of a few optimization algorithms

Diese Desktop-Software simuliert einen elektrischen Wechselrichterantrieb und nutzt eine Mehrzieloptimierungstechnik (This desktop software simulates electrical inverter drive and utilizes multi-objective optimization technique)

This repository contains Python implementations of the Simulated Annealing optimization algorithm. It includes two Colab notebooks — one that evaluates Simulated Annealing across 55 benchmark functions and another that focuses on a single test function (Ackley) — along with sample result files and documentation.

Simple solutions for methods seen in optimization techniques, linear algebra