optimization

BLAS-like Library Instantiation Software Framework

Package to optimize your site automatically which results in a 35%+ optimization. Laravel Page Speed delivers an end-to-end optimization pipeline for Blade-rendered pages and REST APIs with measurable gains in latency, bandwidth, and resiliency.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Optax is a gradient processing and optimization library for JAX.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

The Operator Splitting QP Solver

Command-line control panel for Nginx Server to manage WordPress sites running on Nginx, PHP, MySQL, and Let's Encrypt

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Building blocks for rapid development of GenAI applications

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

The tool to avoid various issues due to inconsistencies and inefficiencies between a database schema and application models.

Components that optimize Flutter fluency.（Flutter 流畅度优化的通用方案，轻松解决卡顿问题）

LLM agents as your hyperparameter optimizer.

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.

9 Different Ways to Optimize AI Agent Memories