Search Results for "optimization" - Page 4
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Showing 1232 open source projects for "optimization"
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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KerasTuner
A Hyperparameter Tuning Library for Keras
KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search. Easily configure your search space with a define-by-run syntax, then leverage one of the available search algorithms to find the best hyperparameter values for your models. KerasTuner comes with Bayesian Optimization, Hyperband, and Random Search algorithms built-in, and is also designed to be easy for researchers to extend in order to experiment with new search algorithms. -
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RLHF-Reward-Modeling
Recipes to train reward model for RLHF
...The repository provides training recipes and implementations for building reward and preference models using modern machine learning frameworks. It supports multiple optimization strategies commonly used in alignment pipelines, including reinforcement learning with PPO, iterative supervised fine-tuning using rejection sampling, and direct preference optimization methods. The project also includes evaluation results showing that the trained reward models can achieve competitive performance compared with other open-source alignment systems. -
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Apache SkyWalking
Application Performance Monitoring System
...Apache Skywalking supports the collection of telemetry data from a number of different sources and in different formats, such as Java, .NET Core, PHP, LUA agent and more. It also offers a solid core features set, which includes root cause analysis, service topology map analysis, performance optimization, and many more. -
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Surrogates.jl
Surrogate modeling and optimization for scientific machine learning
A surrogate model is an approximation method that mimics the behavior of a computationally expensive simulation. In more mathematical terms: suppose we are attempting to optimize a function f(p), but each calculation of f is very expensive. It may be the case we need to solve a PDE for each point or use advanced numerical linear algebra machinery, which is usually costly. The idea is then to develop a surrogate model g which approximates f by training on previous data collected from... -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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Waterfox
Privacy browser built for users who value customization & control
Waterfox is a free, open-source web browser and fork of Mozilla Firefox that’s built for users who prioritize privacy, performance, and customizability while still maintaining compatibility with modern web standards and extensions. It began as a 64-bit-focused fork and has grown into a full-featured browser available on Windows, macOS, Linux, and Android, making it a versatile alternative to mainstream browsers. Waterfox removes or disables much of Firefox’s telemetry and unnecessary data... -
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Compute Library
The Compute Library is a set of computer vision and machine learning
The Compute Library is a set of computer vision and machine learning functions optimized for both Arm CPUs and GPUs using SIMD technologies. The library provides superior performance to other open-source alternatives and immediate support for new Arm® technologies e.g. SVE2. -
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Tun2Socks
tun2socks , powered by gVisor TCP/IP stack
...Proxy Protocols: HTTP/Socks4/Socks5/Shadowsocks with authentication support for remote connections. Run Everywhere. Linux/macOS/Windows/FreeBSD/OpenBSD multi-platform support with specific optimization. Gateway Mode: Act as a layer three gateway to handle network traffic from other devices in the same network. Full IPv6 Support: All functions work in IPv6, tunnel IPv4 connections through IPv6 proxy and vice versa. Network Stack: Powered by user-space TCP/IP stack from Google container application kernel gVisor. -
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NVIDIA NeMo Agent Toolkit
Library for efficiently connecting and optimizing teams of AI agents
...Developers can monitor agent execution, trace workflows, and analyze token-level performance to identify bottlenecks and improve efficiency. NeMo Agent Toolkit also supports evaluation systems, prompt optimization, and reinforcement learning techniques to enhance agent behavior over time. By combining instrumentation, workflow orchestration, and performance optimization tools, the platform helps developers deploy scalable and intelligent multi-agent systems. -
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
...The framework is also organized to help you compare training strategies (e.g., pure SFT vs. preference optimization) so you can see what actually moves metrics in math, code, and multi-step reasoning. For teams exploring open reasoning models, EasyR1 provides an opinionated yet flexible path from dataset to deployable checkpoints. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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TurboQuant PyTorch
From-scratch PyTorch implementation of Google's TurboQuant
TurboQuant PyTorch is a specialized deep learning optimization framework designed to accelerate neural network inference and training through advanced quantization techniques within the PyTorch ecosystem. The project focuses on reducing the computational and memory footprint of models by converting floating-point representations into lower-precision formats while preserving performance. It provides tools for experimenting with different quantization strategies, enabling developers to balance accuracy and efficiency depending on their application. ... -
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Vue Pure Admin
ESM+Vue3+Vite+Element-Plus+TypeScript
...Full suite of admin features: user, role, permission management. Rich component ecosystem and template scripts. Docker support for easy deployment and dev workflows. Continuous optimization (performance, UX, new components). -
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Codeflash
Optimize your code automatically with AI
Codeflash is a general-purpose optimizer for Python that uses advanced large language models (LLMs) to automatically generate, test, and benchmark multiple optimization ideas, then creates merge-ready pull requests with the best improvements for your code. Optimize an entire existing codebase by running codeflash --all. Automate optimizing all future code you will write by installing Codeflash as a GitHub action. Optimize a Python workflow python myscript.py end-to-end by running codeflash optimize myscript.py. ... -
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OpenRLHF
An Easy-to-use, Scalable and High-performance RLHF Framework
OpenRLHF is an easy-to-use, scalable, and high-performance framework for Reinforcement Learning with Human Feedback (RLHF). It supports various training techniques and model architectures. -
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SkillOpt
Text-space optimizer that trains reusable natural-language skills
...Its output is a deployable best_skill.md artifact that can be reused across agent tasks. The project is focused on making agents more effective through text-space optimization rather than traditional fine-tuning. It is most useful for AI researchers and agent developers studying self-improving workflows, skill libraries, and evaluation-driven prompt refinement. -
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Gameboy
Full featured Cross-platform GameBoy emulator by Rust
...It is often used as a learning tool for understanding low-level system emulation, including timing, interrupts, and cartridge handling. Compared to more advanced emulators, it may lack full feature parity or optimization, but it compensates with readability and conceptual transparency. Its modular structure allows developers to extend or modify individual components for experimentation. -
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claude-token-efficient
One CLAUDE.md file. Keeps Claude responses terse
claude-token-efficient is a lightweight configuration-based optimization project designed to reduce the verbosity and token usage of Claude-powered coding workflows through a structured instruction file. Instead of modifying model architecture or APIs, it uses a drop-in CLAUDE.md file that constrains how the model responds, enforcing concise output and eliminating unnecessary phrasing patterns. The approach focuses on removing redundant explanations, overly polite language, and repeated context, which are common contributors to excessive token consumption in AI-generated responses. ... -
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SVGO
Node.js tool for optimizing SVG files
...Some options can be configured with CLI though it may be easier to have the configuration in a separate file. SVGO has a plugin-based architecture, so almost every optimization is a separate plugin. -
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ggml
Tensor library for machine learning
...It is widely used as a foundational component in projects that run large language models locally, including tools that perform inference for transformer-based models. The library also implements optimization algorithms and computation graph functionality so developers can build training and inference workflows directly on top of its tensor operations. -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
...Its design supports unsupervised or semi-supervised paradigms, making it especially powerful for scenarios where only “normal” data is readily available and defects must be detected without exhaustive labeling. Combined with its CLI and integration with optimization tools like OpenVINO, it’s suitable for both research and edge deployment tasks. -
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ReactJS Interview Questions
List of top 500 ReactJS Interview Questions & Answers
...The repository is designed as a preparation resource for developers preparing for interviews involving React, Redux, React Router, React Native, and related JavaScript technologies. It covers a broad spectrum of topics, from the fundamentals of React components and state management to advanced concepts like hooks, performance optimization, and design patterns. The project also extends into practical integration topics, such as working with APIs and handling routing. Future updates plan to add coding exercises, making the resource even more hands-on for learners. With contributions from the developer community, it serves as a practical guide for interview readiness and continuous skill-building. -
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Stable Virtual Camera
Stable Virtual Camera: Generative View Synthesis with Diffusion Models
Stable Virtual Camera is a multi-view diffusion model developed by Stability AI that transforms 2D images into immersive 3D videos with realistic depth and perspective. Unlike traditional methods that require complex reconstruction or scene-specific optimization, this model allows users to generate novel views from any number of input images and define custom camera trajectories, enabling dynamic exploration of scenes. It supports various aspect ratios and can produce 3D-consistent videos up to 1,000 frames, making it a versatile tool for creators seeking to enhance visual storytelling. -
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GTweak
Portable Tool for an Ideal Windows Setup
GTweak is a Windows optimization and customization utility designed to give users deep control over system behavior, privacy, and performance. It provides a wide range of tools to disable unnecessary services, reduce telemetry, and streamline the operating system for better efficiency. The software allows users to modify system settings that are typically hidden or difficult to access, making advanced tweaks more accessible. -
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Open Asset Import Library
The open-asset-importer-library repository
The Open Asset Import Library (short name: Assimp) is a portable Open-Source library to import various well-known 3D model formats in a uniform manner. The most recent version also knows how to export 3d files and is therefore suitable as a general-purpose 3D model converter. See the feature-list. open3mod is a Windows-based model viewer. It loads all file formats that Assimp supports and is perfectly suited to quickly inspect 3d assets. Assimp aims to provide a full asset conversion... -
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TBOX
A glib-like multi-platform c library
TBOX is a glib-like cross-platform C library that is simple to use yet powerful in nature. The project focuses on making C development easier and provides many modules (.e.g stream, coroutine, regex, container, algorithm ...), so that any developer can quickly pick it up and enjoy the productivity boost when developing in C language. It supports the following platforms: Windows, Macosx, Linux, Android, iOS, BSD and etc. Supports file, data, http and socket source. Supports the stream filter...
