Search Results for "optimization" - Page 3
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Showing 1232 open source projects for "optimization"
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SumOfSquares.jl
Sum of Squares Programming for Julia
SumOfSquares.jl is a JuMP extension that, when used in conjunction with MultivariatePolynomial and PolyJuMP, implements a sum of squares reformulation for polynomial optimization. -
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Heretic
Fully automatic censorship removal for language models
Heretic is an open-source Python tool that automatically removes the built-in censorship or “safety alignment” from transformer-based language models so they respond to a broader range of prompts with fewer refusals. It works by applying directional ablation techniques and a parameter optimization strategy to adjust internal model behaviors without expensive post-training or altering the core capabilities. Designed for researchers and advanced users, Heretic makes it possible to study and experiment with uncensored model responses in a reproducible, automated way. The project can decensor many popular dense and some mixture-of-experts (MoE) models, supporting workflows that would otherwise require manual tuning. ... -
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RLax
Library of JAX-based building blocks for reinforcement learning agents
...RLax is fully JIT-compilable with JAX, enabling high-performance execution across CPU, GPU, and TPU backends. The library implements tools for Bellman equations, return distributions, general value functions, and policy optimization in both continuous and discrete action spaces. It integrates seamlessly with DeepMind’s Haiku (for neural network definition) and Optax (for optimization), making it a key component in modular RL pipelines. -
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PowerSimulations.jl
Julia for optimization simulation and modeling of PowerSystems
...Provide a flexible modeling framework that can accommodate problems of different complexity and at different time scales. Streamline the construction of large-scale optimization problems to avoid repetition of work when adding/modifying model details. Exploit Julia's capabilities to improve computational performance of large-scale power system quasi-static simulations. The flexible modeling framework is enabled through a modular set of capabilities that enable scalable power system analysis and exploration of new analysis methods. ... -
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AIDE ML
AI-Driven Exploration in the Space of Code
...AIDE ML is packaged as a Python toolkit with built-in utilities such as command-line tools, configuration presets, and visualization interfaces that allow researchers to observe how the search process evolves. The framework is designed for experimentation and academic research into automated programming and machine learning optimization. -
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ProximalAlgorithms.jl
Proximal algorithms for nonsmooth optimization in Julia
A Julia package for non-smooth optimization algorithms. This package provides algorithms for the minimization of objective functions that include non-smooth terms, such as constraints or non-differentiable penalties. -
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SEO GEO Audit
Professional SEO and GEO audit workflows for brands, SaaS teams
...The system analyzes websites against modern search patterns, including how content is interpreted by AI-powered search engines and retrieval systems. It provides actionable insights into areas such as keyword usage, content clarity, and structural optimization. The tool is built as part of a broader ecosystem of AI-driven SEO utilities, emphasizing automation and data-driven recommendations. It is particularly useful for businesses aiming to adapt to the evolving landscape of AI-assisted search. Overall, SEO GEO Audit helps bridge the gap between traditional SEO practices and next-generation AI search optimization. -
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Lithium (for Fabric)
A Fabric mod designed to improve the general performance of Minecraft
A general-purpose optimization mod for Minecraft, improving server and client performance. -
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Iris
A modern shaders mod for Minecraft compatible with existing OptiFine
...OptiFine, the current dominant mod for loading shader packs, has restrictive licensing that firmly stands in the way of any sort of tinkering, and is fairly notorious for having compatibility issues with the mods that I like. It's also mutually incompatible with Sodium, the best rendering optimization mod in existence by a large margin. ShadersMod was never updated past 1.12, and it lacks support for many of the many modern popular shaderpacks. So I created Iris, to try and solve these issues, and also address many other longstanding issues with shader packs. I first and foremost develop Iris to meet my own needs of a performance-oriented shaders mod with good compatibility. -
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pgwatch2
PostgreSQL metrics monitor/dashboard
...Supports monitoring PG versions 9.0 to 16 out of the box. Pgwatch2 is a PostgreSQL monitoring tool designed to track database performance and usage, providing insights for database optimization. -
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Headroom
Compress tool outputs, logs, files, and RAG chunks
Headroom is a context optimization layer for LLM applications that compresses information before it reaches the model. It sits between an application and an LLM provider, intercepting requests and forwarding a shorter optimized prompt. The project is designed to reduce token usage while preserving the answer quality needed for agent workflows. It can compress tool outputs, logs, RAG chunks, files, and conversation history. -
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NFH Self-Improvement Loop
Minimal adversarial framework for AI agent self-modification
...The project emphasizes iterative learning, allowing systems to evolve over time through repeated evaluation and adjustment. It can be applied to areas such as content generation, decision-making, and personal productivity systems. The framework encourages structured reflection and optimization, ensuring that each iteration builds upon previous results. It is particularly useful for experimenting with autonomous improvement processes in AI workflows. Overall, it provides a practical model for implementing continuous optimization in AI-driven systems. -
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Optax
Optax is a gradient processing and optimization library for JAX
Optax is a gradient processing and optimization library for JAX. It is designed to facilitate research by providing building blocks that can be recombined in custom ways in order to optimize parametric models such as, but not limited to, deep neural networks. We favor focusing on small composable building blocks that can be effectively combined into custom solutions. Others may build upon these basic components in more complicated abstractions. -
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OpenVINO Training Extensions
Trainable models and NN optimization tools
...When ote_cli is installed in the virtual environment, you can use the ote command line interface to perform various actions for templates related to the chosen task type, such as running, training, evaluating, exporting, etc. ote train trains a model (a particular model template) on a dataset and saves results in two files. ote optimize optimizes a pre-trained model using NNCF or POT depending on the model format. NNCF optimization used for trained snapshots in a framework-specific format. POT optimization used for models exported in the OpenVINO IR format. -
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JuMP
Modeling language for Mathematical Optimization
JuMP is a modeling language and collection of supporting packages for mathematical optimization in Julia. JuMP makes it easy to formulate and solve a range of problem classes, including linear programs, integer programs, conic programs, semidefinite programs, and constrained nonlinear programs. JuMP is used to solve large-scale inventory routing problems at Renault, schedule trains at Thales Inc., plan power grid expansion at PSR, and route school buses. -
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Coursera-ML-AndrewNg-Notes
Personal notes from Wu Enda's machine learning course
...It organizes the material into clear written summaries that accompany each lecture topic, including supervised learning, regression methods, neural networks, and optimization algorithms. The repository often expands on the original lecture material by adding additional explanations, diagrams, and formulas that clarify the theoretical foundations of the algorithms. These notes serve as a structured reference that learners can review while studying or revisiting machine learning fundamentals. -
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Binaryen
Compiler infrastructure and toolchain library for WebAssembly
...It accepts input in WebAssembly-like form but also accepts a general control flow graph for compilers that prefer that. Binaryen's internal IR uses compact data structures and is designed for completely parallel codegen and optimization, using all available CPU cores. Binaryen's IR also compiles down to WebAssembly extremely easily and quickly because it is essentially a subset of WebAssembly. Binaryen's optimizer has many passes (see an overview later down) that can improve code size and speed. These optimizations aim to make Binaryen powerful enough to be used as a compiler backend by itself. -
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Digoal Blog
Opensource, Database, AI, Business
Digoal Blog is a comprehensive collection of articles, tutorials, and resources focused on open-source databases, particularly PostgreSQL. Maintained by Digoal Zhou, the blog covers a wide range of topics including database optimization, architecture, and best practices, serving as a valuable resource for database administrators and developers. -
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Gulp Imagemin
Minify PNG, JPEG, GIF and SVG images
A Gulp plugin that optimizes images by reducing file sizes without losing quality, improving web performance and reducing bandwidth usage. -
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Win11Debloat
A simple, easy to use PowerShell script to remove pre-installed apps
Win11Debloat is an open-source PowerShell script designed to remove unnecessary apps, services, and features from Windows 10 and Windows 11. It helps users quickly declutter their system by uninstalling preinstalled bloatware and disabling unwanted background services. The tool also focuses on improving privacy by turning off telemetry, tracking features, and targeted advertisements built into Windows. In addition to removing apps, Win11Debloat provides options to customize system behavior,... -
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claude-code-best-practice
Practice made claude perfect
...It also explores operational concerns such as permissions management, sandboxing, debugging workflows, and context optimization. By combining conceptual guidance with concrete examples and configuration patterns, the project helps teams move from experimental AI usage toward more production-ready agent orchestration. -
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SciPy
SciPy library main repository
This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. ... -
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R1-V
Witness the aha moment of VLM with less than $3
R1-V is an initiative aimed at enhancing the generalization capabilities of Vision-Language Models (VLMs) through Reinforcement Learning in Visual Reasoning (RLVR). The project focuses on building a comprehensive framework that emphasizes algorithm enhancement, efficiency optimization, and task diversity to achieve general vision-language intelligence and visual/GUI agents. The team's long-term goal is to contribute impactful open-source research in this domain. -
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Axolotl
Go ahead and axolotl questions
...Built for researchers and developers, Axolotl simplifies the process of adapting LLMs for specific tasks, including chat, code generation, and instruction following. It supports a wide variety of model architectures and offers out-of-the-box optimization strategies for efficient training. -
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NNCF
Neural Network Compression Framework for enhanced OpenVINO
NNCF (Neural Network Compression Framework) is an optimization toolkit for deep learning models, designed to apply quantization, pruning, and other techniques to improve inference efficiency.
