222 skills found · Page 3 of 8
simonaertssen / MIT 6.172 Performance Engineering Of Software Systems6.172 is an 18-unit class that provides a hands-on, project-based introduction to building scalable and high-performance software systems. Topics include performance analysis, algorithmic techniques for high performance, instruction-level optimizations, caching optimizations, parallel programming, and building scalable systems. The course programming language is C. See https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-172-performance-engineering-of-software-systems-fall-2018/
mir-aidj / Transition AnalysisCode for "Reverse-Engineering The Transition Regions of Real-World DJ Mixes using Sub-band Analysis with Convex Optimization" NIME 2021
Hazrat-Ali9 / Prompt Engineering🤢 Prompt Engineering 🥶 the art and 🤡 science of crafting 🤓 effective prompts 🤖 to communicate 👻 with AI models 👹like ChatGPT 🙈 Claude and 🙆♂️ Gemini Perfect 🚃 developers 🚂 researchers and ✈ AI enthusiasts 🚢 prompt styles 🚁 and results 🚀 fine tuning 🛸 and prompt 🚤 optimization 🚋
Rosweise / RosweiseA comprehensive portfolio and documentation hub for my journey in C++, low-level programming, and software engineering. Showcasing expertise in performance optimization, computer vision, multimedia processing, and Linux internals. Open source contributions and technical blog posts included.
alimirjalili / GWOThe GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optimization. This is the source codes of the paper: S. Mirjalili, S. M. Mirjalili, A. Lewis, Grey Wolf Optimizer, Advances in Engineering Software, Volume 69, March 2014, Pages 46-61, ISSN 0965-9978, http://dx.doi.org/10.1016/j.advengsoft.2013.12.007. More information can be found in: http://www.alimirjalili.com/GWO.html
luo-group / MODIFYML-optimized library design with improved fitness and diversity for protein engineering
AIResearcherHZ / Matlab PPOThis is a MATLAB-based reinforcement learning framework that includes the Proximal Policy Optimization (PPO) algorithm and its multi-agent extension (MAPPO). It supports GPU acceleration and parallel computing, making it suitable for research and engineering applications in control systems.
oxbshw / Context Engineering🧠 Context Engineering is an open-source toolkit to visualize, test, and optimize how LLMs process context windows. Includes a Streamlit app, RAG simulation, educational docs, and Docker support—perfect for prompt engineers, researchers, and AI developers.
rohanmistry231 / Exploratory Data Analysis And Feature EngineeringA Python-based repository for mastering exploratory data analysis (EDA) and feature engineering, using libraries like Pandas, Seaborn, and Scikit-learn. Includes practical examples, datasets, and techniques for data visualization, cleaning, and feature optimization.
Yasen03 / KOA CNN LSTM Attention[Engineering Letters]An Improved Hybrid CNN-LSTM-Attention Model with Kepler Optimization Algorithm for Wind Speed Prediction
besthor / Alx System Engineering DevopsDevOps engineering repository dedicated to creating and maintaining the necessary infrastructure and tools for rapid software development and release. By focusing on building, testing, and optimizing these critical components, to streamline the development process and deliver top-quality software solutions efficiently and effectively
salmansust / CO2 SequestrationCarbon Capture and Sequestration (CCS) has been proposed as a promising and necessary technology for mitigating CO2 and the effects of anthropogenic climate change. Deep geological formations, like saline aquifers, are pointed out as promising areas for large-scale storage of CO2. If CCS is implemented on large scale to make noticeable reductions in atmospheric CO2, then it will require a solid scientific foundation defining the coupled hydrologic–geochemical–geomechanical processes that govern the long-term fate of CO2 in the subsurface, migration behavior of CO2, trapping mechanisms, proper utilization of methods to characterize and select sequestration sites, workflow and evaluation process, simulation methods, subsurface engineering to optimize performance, well placement, injection rate and cost, approaches to ensure safe operation, monitoring technology, remediation methods, regulatory overview, and an institutional approach for managing long-term liability. To address the above issues, we demonstrated, reviewed and developed the overall workflow of the process of CO2 sequestration in this study.
pwenker / Prompt TeacherThe Prompt Teacher is an interactive and educational prompt engineering interface for LLMs that teaches users how to craft ✍️, refine 🔧, and optimize 📈 prompts to achieve the most effective and targeted responses from LLMs.
sakha1370 / Generative AI Engineering CourseraThis repository features my coursework from the IBM Generative AI Engineering Professional Certificate on Coursera. It includes Jupyter Notebooks with code, explanations, and visualizations, along with HTML/PDF summaries. The content highlights my skills in Generative AI, LLMs, NLP, and model optimization.
rohanmistry231 / Prompt Engineering With 50000 PromptsA comprehensive collection of 50,000 prompts for AI model training and prompt engineering, designed to enhance NLP model performance and creativity. Includes categorized prompts and tools for generating, testing, and optimizing prompts for various AI applications.
wnma3mz / Trans Algebra Topology Di Erential Calculus And Optimization Theory For CSAlgebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Engineering中文翻译
DrazenNikolic / AVD Golden Image OptimizerA professional engineering framework for Azure Virtual Desktop. Optimized for high-performance VM families (E, D, F, N-series). This script addresses 24H2-specific kernel behaviors, RDP Shortpath preparation, and UI hardening while preserving all business essentials.
AmirhosseinHonardoust / Customer Churn PredictionCustomer churn prediction with Python using synthetic datasets. Includes data generation, feature engineering, and training with Logistic Regression, Random Forest, and Gradient Boosting. Improved pipeline applies hyperparameter tuning and threshold optimization to boost recall. Outputs metrics, reports, and charts.
patricio0312rev / SkillsComprehensive library of +100 production-ready development skills covering every aspect of modern software engineering. From project setup to production deployment, from security hardening to performance optimization.
jacobsalmela / VshA new shell written in vlang, optimized for software engineering
