LHU-Net: A Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation
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Updated
Jan 30, 2026 - Python
LHU-Net: A Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation
Cost-of-Pass: An Economic Framework for Evaluating Language Models
Optimal Network Planner is a tool for optimizing wireless network coverage using clustering and path planning algorithms. By analyzing signal strength data, it identifies key nodes that maximize network coverage and determines the shortest path to cover these areas efficiently. This project helps ensure the strongest network with minimal area.
Multi-provider LLM pipeline + open benchmark measuring when each frontier model runs out of distinct ideas. 10 LLMs, 16× cost-per-unique-idea spread for the same shipped quality.
Enhance the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. Learn to integrate vector search with traditional database operations and apply techniques like prefiltering, postfiltering, projection, and prompt compression.
Cost per correct answer — a neutral, reproducible, verifiable benchmark for CLI-based coding agents
Professional AI token optimization software that reduces token usage by up to 75% for developers and teams. Boost efficiency and lower AI expenses in 2026.
A new package that helps users understand and navigate the complexities of hybrid cloud environments in 2025. Users can input their specific hybrid cloud challenges, such as data gravity (the tendency
This package helps users quickly compare virtual private server (VPS) offerings by taking a simple text input—like a list of VPS providers, their plans, or key features—and returning a structured brea
An AI assistant that executes pre-vetted scripts and tools instead of generating code from scratch. Reduces costs, eliminates hallucinations, and enhances security
Repository to document my Doctoral (Computer Science) Research
大模型斩杀线与智能选型工作台 - Cherry Studio 官方 MiniApp
Intelligent token optimization tool for AI and cloud code. Cut token costs by up to 75% while maintaining top performance. Essential for developers in 2026.
The Verifier Is All You Need: Six Architectural Interventions That Don't Matter and the Verification Boundary That Does
Reproducible cross-workload cost-efficiency analysis for agentic AI using public HAL leaderboard data
主流 AI 模型能力对比表:Benchmark数据、成本、速度、上下文长度,支持搜索和筛选
One Platform All Your AI Inference Needs Run Powerful AI Models Faster, Smarter, at Any Scale, with Predictable Costs
How much of what your coding agent spends is actually work: the share of paid tokens that became output, not context re-reading. Local, no network calls.
AI-Benchmark-PuzzleGames: a competition and benchmark for AI agents that play a browser puzzle game using only screenshots, mouse and keyboard. Four stages, from a 10-minute run to fully autonomous agent teams. Models are compared by levels cleared, score and total cost. One attempt per stage, no scripts or DevTools.
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