Optimization
50 items across the graph — tagged with Optimization.
From the graph · 50
A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppa…
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An AI prompt optimizer for writing better prompts and getting better AI results.
A hyperparameter optimization framework
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Fast and Accurate ML in 3 Lines of Code
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faste…
Build, Manage and Deploy AI/ML Systems
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
The agent-native LLM router for autonomous agents. 55+ models (8 free),
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
AI Infra / AI Orchestration / AI Control Plane
OplaPlanner has moved to https://github.com/apache/incubator-kie-drools. This repository is archived. OptaPlanner is an AI constraint solver in Java to optimize…
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorith…
:sunglasses: A curated list of robotics libraries and software
POT : Python Optimal Transport
Optax is a gradient processing and optimization library for JAX.
Awesome machine learning for combinatorial optimization papers.
Python library for portfolio optimization built on top of scikit-learn
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.
Build computer vision models in a fraction of the time and with less data.
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
Curated list of AutoResearch use cases with optimization traces and open source implementations
A polyhedral compiler for expressing fast and portable data parallel algorithms
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimizat…
vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!
A header-only C++ library for numerical optimization --
Automated modeling and machine learning framework FEDOT
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesia…
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premium — automatically. Drop-in OpenAI-compatible prox…
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Build agent that uses 80% less token and delivers better results.
Recent research papers about Foundation Models for Combinatorial Optimization
lowfat - slim your command output. strips noise, saves tokens.
A unified interface for optimization algorithms and experiments
A toolkit for building AI-automated trading strategies on Kalshi prediction markets.
LLM agents as your hyperparameter optimizer.
Bayesian Optimization and Design of Experiments
Intelligent token optimization for Claude Code - achieving 95%+ token reduction through caching, compression, and smart tool intelligence
Fixes prompt cache regression in Claude Code that causes up to 20x cost increase on resumed sessions
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Unified CloudOps platform with AI-SRE, AI-FinOps, AI-K8sOps, and the Agentic Automation Builder without fragmented tools, context switching, or model lock-in.
High Performance Scalable Data Processing in Python and SQL
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
Second Order Optimization and Curvature Estimation with K-FAC in JAX.