Lightweight desktop tool for Call of Duty: Modern Warfare 4. Smart FPS optimization, performance tuning, process management and real-time monitoring. Designed to improve frame rates and stability. Regularly updated.
Powerful CS2 FPS optimizer that boosts frame rate, reduces lag and optimizes system settings. One-click performance profiles, clean interface, fully configurable for Counter-Strike 2.
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Rust-based FPS optimizer for games: frame-rate stability, lower input latency, process priority tuning, memory cleanup and power-plan presets. Lightweight, reversible, open-source performance tool for Windows.
Fortnite FPS Booster: frame-rate stability, lower input latency, process priority tuning, memory cleanup and power-plan presets for Fortnite on Windows. Lightweight, reversible, open-source performance optimizer.
Powerful Minecraft FPS booster and performance optimization mod. Dramatically increases frames, reduces lag, and optimizes rendering for 1.20–1.21. Forge & Fabric support, clean modular structure.
An autonomous agent that profiles, optimizes, and validates AI training code.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Hackable and optimized Transformers building blocks, supporting a composable construction.
Python SQL Parser and Transpiler
Automatic CPU speed & power optimizer for Linux
Open-source implementation of AlphaEvolve
TinyDB is a lightweight document oriented database optimized for your happiness :)
A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and serves your target audience.
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.
Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.
All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages
Aggregates RSS and web content(Calibre recipe), sends to Kindle, and includes an e-ink optimized online reader.
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
Claude Code blog skill suite: 30 sub-skills, 5 agents, 5-gate v1.9.0 Blog Delivery Contract, dual-optimized for Google rankings and AI citations. Active development at AI-Marketing-Hub/claude-blog (AI Marketing Hub Pro community); public releases ship here.
A manually tuned font revision of Readerly, with reduced and altered serifs, optimized for digital reading and e-readers. OFL licensed.
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Optimized Agentic and LLM Bulk Processing Over Your Data
This repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize costs. Founder Dr. Andreas Schmitz (YouTube @akkudoktor)
An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
Controllable Transcription. Verbatim ( every, filler, pause, stutter, vocal sound) , or intended ( what the speaker meant to say, optimized for readability) with word-level timestamps.
Multi-backend whisper app. Blazing fast. Mac-arm optimized. Easy install. Input a local file or url and this service will transcribe it using Whisper AI. Completely private and Free 🤯🤯🤯
Scalable and memory-optimized training of diffusion models
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
A Python data analysis library that is optimized for humans instead of machines.
A simple Minecraft modpack focusing on performance and graphics enhancements.
Open-source Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) toolkit — audit, optimize & track whether ChatGPT, Perplexity, Gemini & Google AI Overviews cite your site. AI SEO / LLM SEO. CLI, Python, MCP, Astro.
Salesforce's curated collection of agent skills for building applications. Optimized for Agentforce Vibes, compatible with all AI tools.
KonomiTV: Kept Organized, Notably Optimized, Modern Interface TV media server
Hardware accelerated, batchable and differentiable optimizers in JAX.
Selection of fonts with modified line height and family names, optimized for e-reading, particularly for Kobo, Kindle and Boox devices.
Optimized Whisper models for streaming and on-device use
Fire your SEO·GEO agency 🔥 A Claude Code skill that audits and optimizes SEO·AEO·GEO·LLMO·NEO(Naver) by itself — 월 50~350만 원짜리 'AI 검색 최적화' 대행, AI 에이전트가 대체합니다
A carefully crafted, thoroughly tested, optimized companion library for SQLAlchemy
麦当劳省钱点餐助手(麦门精算师)|麦当劳优惠券组合优化 Skill:拉取麦当劳菜单与全部可用优惠券,算出最省的点餐组合,巨无霸套餐 ¥47 → ¥21.9(省 53%)。McDonalds MCP(麦当劳 MCP)coupon optimizer · McDonalds China MCP Server · Agent Skill for WorkBuddy · 麦当劳程序员创意开发大赛参赛作品
An optimized logging library for Python
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Source-available LLM router and AI cost optimizer. Routes simple prompts to cheap or local models and complex ones to premium models, automatically. Drop-in OpenAI-compatible proxy for Claude Code, Codex, Cursor and OpenClaw. Self-hosted, no middleman.
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.