tensorflow / model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
tensorflow / model-optimization
sethblack / python-seo-analyzer
An SEO tool that analyzes the structure of a site, crawls the site, count words in the body of the site and warns of any technical SEO issues.
evo-hq / evo
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
Lightning-AI / lightning-thunder
PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.
Paritok-official / paritok-4b-v1
Non-destructive compression gateway for AI coding agents. Cuts token bills 25% on turn 1 to past 85% in long or saturated sessions, and fits ~3× more turns in the same context window. Powered by our open-source code-native 4B model. Drop-in for Claude Code, Cursor, Codex, OpenHands, and any BASE_URL agent.
brayonpi / hexstellar
Turn any AI agent into a computational researcher. HexStellar Cortex delivers software-accelerated optimization, quantum computing, scientific computing, decision intelligence, and verifiable execution through a Python CLI and API—with certainty labels, verification receipts, examples, and a free sandbox. Start instantly: pip install hexstellar
pnnl / neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
PrunaAI / pruna
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
e2nIEE / pandapower
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
thieu1995 / mealpy
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
mpmath / mpmath
Python library for arbitrary-precision floating-point arithmetic
ant-research / AntOmniEvo
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
usamahz / cpu-performance-engineering
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
nnaisense / evotorch
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
RUC-NLPIR / ARPO
[ICLR 2026] Agentic Reinforced Policy Optimization (ARPO)
Auriti-Labs / geo-optimizer-skill
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.
geoopt / geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
jarun / imgp
:camera_flash: Fast batch image resizer and rotator
google / jaxopt
Hardware accelerated, batchable and differentiable optimizers in JAX.
lucasrosati / claude-code-memory-setup
Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.
optiland / optiland
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
dgasmith / opt_einsum
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
Bhanunamikaze / Agentic-SEO-Skill
An LLM-first SEO analysis skill for Antigravity, Codex, Claude with 16 specialized sub-skills, 10 specialist agents, and 88 optional utility scripts used as evidence collectors.
AgileRL / AgileRL
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
cvg / GeoCalib
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
pymanopt / pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
jjang-ai / vmlx
vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm
MolecularAI / REINVENT4
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
optuna / optuna-examples
Examples for https://github.com/optuna/optuna
xinyitang3 / cfnb
这是一个全自动的 Cloudflare CDN 节点优选工具。它通过 TCP 延迟筛选 + IP 可用性二次检测 + HTTP 延迟及抖动检测 + 真实带宽测速 多重机制，从多个公开数据源中聚合节点，自动识别并解析任意格式（标准代码、中文名、emoji国旗、JSON等），筛选出当前网络环境下速度最快、延迟最低、抖动最小的 Cloudflare IP，并支持自动更新至 Cloudflare DNS 以及同步至 GitHub 仓库，同时支持微信实时通知。
AgriciDaniel / chatgpt-seo
Turn a page, draft, or SEO export into a sourced fix plan inside ChatGPT.
google / learned_optimization
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hujjun / mcd-saver-strategist
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
google / ml-compiler-opt
Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.
OpenMDAO / OpenMDAO
OpenMDAO repository.
flaqai / backlink_skills
Awesome skills for submitting url to free websites. Get more backlinks for your website to get more traffic.
aigclink / geolook
Open-source end-to-end GEO implementation: status analysis, diagnosis, strategy, tickets, execution, verification
deepmodeling / jax-fem
Differentiable Finite Element Method with JAX
qpsolvers / qpsolvers
Quadratic programming solvers in Python with a unified API
fangvv / UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
FilippoAiraldi / mpc-reinforcement-learning
Reinforcement Learning with Model Predictive Control
PyVRP / PyVRP
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
aimclub / FEDOT
Automated modeling and machine learning framework FEDOT
BYU-PRISM / GEKKO
GEKKO Python for Machine Learning and Dynamic Optimization
davidusb-geek / emhass
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
OnlyTerp / hermes-optimization-guide
Hermes Agent setup, migration, LightRAG, Telegram, and skill creation guide
simpeg / simpeg
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Optima-CityU / LLM4AD_Next
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
Ayzzz123 / mcd-coupon-strategist
麦麦省钱助手 —— 基于麦当劳 MCP 的点餐成本优化 Skill。算出当前门店最省钱的点餐方案，并主动提示凑单陷阱。
NadirRouter / NadirClaw
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.
sunrainyg / RandOpt
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
mlcommons / ck
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.
metaopt / torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
inducer / loopy
A code generator for array-based code on CPUs and GPUs
SanPen / VeraGrid
VeraGrid, a cross-platform power systems software written in Python with user interface, used in academia and industry.
gugarosa / opytimizer
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
ryanfrigo / kalshi-ai-trading-bot
A toolkit for building AI-automated trading strategies on Kalshi prediction markets.
aws-samples / service-screener-v2
A tool for customers to evaluate their AWS service configurations based on AWS and community best practices and receive recommendations on potential improvements.
evelyyyyynnnnn / 4.0-Decision-Intelligence-Framework
A research-oriented framework for building optimization-driven decision intelligence systems, integrating causal inference, risk modeling, and AI pipelines for large-scale socio-technical systems