This repository contains multiple approaches for generating global racetrajectories.
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Module for statistical learning, with a particular emphasis on time-dependent modelling
- machine-learning
- python
- point-process
- optimization
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
Glide Bitmap Pool is a memory management library for reusing the bitmap memory
- glide
- bitmap
- bitmap-memory
- bitmap-pool
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
- optimization
- optimization-algorithms
- optimization-methods
- optimization-problem
Semrush SEO AI-powered analysis tool MCP server & CLI for keyword research, domain analytics, backlink analysis
- backlink-analysis
- claude-desktop
- cursor-pro
- semrush
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
- arithmetic
- integer-arithmetic
- fixed-point-arithmetic
- rational-arithmetic
Adaptive query optimization for PostgreSQL
- postgresql
- query-optimizer
- adaptive
- optimization
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
- ai-agents
- claude-code
- mcp
- token-optimization
A modern supercompiler for call-by-value functional languages
Turn any codebase into a knowledge graph grounded in formal methods. Your AI agents get exact answers for any code-related task, ensure correctness, and optimize time and token usage.
Harness self-evolution: update targets, theory, evaluation, and reported evidence. Bilingual reading list and project website.
- agent-evaluation
- agent-harness
- agent-memory
- agent-skills
optimization routines for hyperparameter tuning
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
- trajectory-optimization
- differential-dynamic-programming
- theano
- dynamics-models
TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.
- mcp
- claude
- claude-code
- cursor
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
- meta-learning
- reinforcement-learning
- rsi
- ai-agents
Dead simple, super fast, zero allocation logger for Golang
MoniGo is a performance monitoring library for Go apps, offering real-time insights into service-level and function-level metrics. With an intuitive UI, it enables developers to track and optimize performance. Get your Go app's dashboard up in just 10 seconds!
- analytics
- dashboard
- golang
- insights
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
- slam
- robotics
- state-estimation
- visual-slam
V library to develop Artificial Intelligence and High-Performance Scientific Computations
- v
- hacktoberfest
- linear-algebra
- optimization
Make Codex and Claude Code subscriptions go further: a local model router that gives routine agent work to economical models and keeps your strongest model for the hard parts.
- model-routing
- task-routing
- ai-agents
- ai-gateway