Safety-first disk cleaner and space analyzer for macOS, Windows and Linux, with duplicate cleanup, app uninstall, startup management, system optimization, and maintenance.
- app-uninstaller
- cache-cleaner
- desktop-app
- disk-cleaner
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Safety-first disk cleaner and space analyzer for macOS, Windows and Linux, with duplicate cleanup, app uninstall, startup management, system optimization, and maintenance.
Experience-Driven Black-Box Cost Control for Coding Agents
An optimization-based multi-sensor state estimator
Android virtual machine and deobfuscator
🖼️ Image optimization app for macOS, Windows and Linux.
Fast and efficient CSS optimizer for node.js and the Web
Fast as FUCK nvim completion. SQLite, concurrent scheduler, hundreds of hours of optimization.
CSS minifier with structural optimizations
AI Infra / AI Orchestration / AI Control Plane
Bayesian optimization in PyTorch
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
g2o: A General Framework for Graph Optimization
Insane(ly slow but wicked good) PNG image optimization
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Model-rocketry aerodynamics and trajectory simulation software
:sunglasses: A curated list of robotics libraries and software
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
TranslatedAndroid performance optimization tutorials, videos and tools list(Android performance optimization videos, documents and tools)
POT : Python Optimal Transport
Search Engine Optimization (SEO) for Ruby on Rails applications.
BLAS-like Library Instantiation Software Framework
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
A curated list of awesome C/C++ performance optimization resources: talks, articles, books, libraries, tools, sites, blogs. Inspired by awesome.
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.