Search Results for "optimize" - Page 23

This project is created by a small group of students to optimize the team work. You will find here some work for the university as well as some private tools.

Use our YouTube Playlist Length Calculator to quickly calculate the total duration of any YouTube playlist. We provide tools to help manage and optimize your YouTube content. Our calculator makes playlist management simple.

You can create complete websites that adhere to the standards validation of its structure. More flexible and lighter than the native PHP. It allows you to create any document labeling: HTML, XHTML, XML, ... It is designed for flexibility and dynamism, performance and low resource consumption.

...b) a perturbations toolbox that allows to numerically assess the effect of arbitrary perturbations by integrating Gauss equations. Atmospheric drag, Sun pressure and J2 gravity potential are implemented. c) a rendez-vous and docking module that uses Clohessy-Wiltshire equations to optimize rendez-vous and docking maneuvers, assess the effect of the target's gravity field and analyze the effect of position and velocity uncertanties. d) a Simulink ADCS simulator with a focus on control law design.

News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. GCC plugin is licenced under GPLv3 licensed, while future LLVM plugins will be licensed under BSD license. ...

...The model was refined through a two-stage post-training process: Supervised Fine-Tuning (SFT) to transfer knowledge from Jan-v1, followed by Reinforcement Learning with Verifiable Rewards (RLVR) to optimize reasoning, tool use, and correctness. With just 1.7B parameters, Jan-v1-edge achieves 83% accuracy on SimpleQA tasks, approaching the performance of larger models like Jan-nano-128k. Benchmark comparisons show it remains competitive or superior in areas such as EQBench and recency QA, though with slight trade-offs in instruction following and creative writing compared to similar-sized Qwen models.

An online database and cross-platform, game-like client where gardeners/farmers (small or large scale) can log their actions and measurements (such as weather, yield, current plant size). Any user can then play it back visually, or play with the data and see a simulation inferred from the knowledge database, or calculate an optimal design within given constraints, inferred from the knowledge available at that time. This is both a tool for playing, in order to entertain and inspire...