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Use it for structured workloads with repeated policies, account context, catalog attributes, or correlated fields. 5-9B, through vLLM. It returns binary, categorical or scored decisions with probabilities.

Heretic is a tool that removes censorship (aka "safety alignment") from transformer-based language models without expensive post-training. It combines an advanced implementation of directional ablation, also known as "abliteration" (Arditi et al.

A curated compilation of Windows system tasks streamline installs, debloat with tweaks, troubleshoot with config, and configure Windows updates. Run it fresh on every new Windows install.

Application designed to optimize, customize and enhance your Windows experience.

Multi functional app to find duplicates, empty folders, similar images etc.

SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable bestskill.md artifacts.

Free, open-source Windows optimization tool for performance, privacy, and simplicity.

DSPy: The framework for programming—not prompting—language models

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

skill —— 一个让你的Skill无限进化的系统：评估→改进→测试→保留或回滚 | Autoresearch-inspired autonomous skill optimization for Claude Code. Evaluate, improve, test, keep or revert.

🚀 An open and lightweight modification to Windows, designed to optimize performance, privacy and usability.

The compiler is a single self-contained C binary: it parses Ruby (via libprism), infers types across the whole program, emits C, and invokes the system cc to produce a native executable -- no Ruby runtime and no chained helper binaries at compile time. )

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

js library and command-line application for optimizing SVG files.

An extension for pi — an AI coding agent that runs in your terminal. pi-autoresearch gives pi the tools and workflow to run autonomous optimization loops: try an idea, benchmark it, keep improvements, revert regressions, repeat.

Language models are extraordinary at understanding intent. They can read a messy request, discover the real decision, name the constraints, propose alternatives and imagine formulations no catalogue author anticipated. But imagination is not execution.

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

, OR-Tools) is an open-source, fast and portable software suite for solving combinatorial optimization problems.

Cut Claude Code's input tokens by rendering bulky context as images — the same system prompt, tool docs, and history, in a fraction of the tokens.

Drop the mcopt jar and the Sodium jar into /Library/Application Support/minecraft/mods. Done.

This open-access course is directed at those who are already familiar with C and object-oriented programming aiming for a proficiency level of C++ programming. The course covers the basics of C++ programming and moves on to advanced C++ semantics and concepts.

Nuitka is a Python compiler written in Python. 14. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.

A target image is provided as input. The algorithm tries to find the single most optimal shape that can be drawn to minimize the error between the target image and the drawn image. It repeats this process, adding one shape at a time.

SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

Hermes Agent Self-Evolution uses DSPy + GEPA (Genetic-Pareto Prompt Evolution) to automatically evolve and optimize Hermes Agent's skills, tool descriptions, system prompts, and code — producing measurably better versions through reflective evolutionary search.

This document is for engineers and researchers (both individuals and teams) interested in maximizing the performance of deep learning models. We assume basic knowledge of machine learning and deep learning concepts.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

This is the official repository for Microsoft's implementation of the C++ Standard Library (also known as the STL), which ships as part of the MSVC toolset and the Visual Studio IDE.

Making a program fast on a modern CPU means knowing what the core does with each instruction, where the time actually goes, and how to prove a change helped. This is the reading that gets you there, in the order that makes the next piece legible.

DeepGEMM-Ascend: clean and efficient matrix multiplication kernel library for Huawei Ascend NPUs