Search Results for "engine tuning"
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Showing 36 open source projects for "engine tuning"
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1
Agentic Context Engine
Make your agents learn from experience
Agentic Context Engine (ACE) is an open-source framework designed to help AI agents improve their performance by learning from their own execution history. Instead of relying solely on model training or fine-tuning, the framework focuses on structured context engineering, allowing agents to accumulate knowledge from past successes and failures during task execution. -
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qvac-fabric-llm.cpp
QVAC Fabric: cross-platform LLM inference and fine-tuning
qvac-fabric-llm.cpp is a cross-platform large language model inference and fine-tuning engine built as an advanced fork of llama.cpp, designed to run efficiently across desktops, mobile devices, and heterogeneous GPU environments. The project focuses on removing hardware limitations traditionally associated with LLM deployment by enabling support for a wide range of backends, including Vulkan, Metal, CUDA, and CPU, making it accessible on devices ranging from smartphones to enterprise servers. ... -
3
Xtuner
A Next-Generation Training Engine Built for Ultra-Large MoE Models
Xtuner is a large-scale training engine designed for efficient training and fine-tuning of modern large language models, particularly mixture-of-experts architectures. The framework focuses on enabling scalable training for extremely large models while maintaining efficiency across distributed computing environments. Unlike traditional 3D parallel training strategies, XTuner introduces optimized parallelism techniques that simplify scaling and reduce system complexity when training massive models. ... -
4
mistral.rs
Fast, flexible LLM inference
mistral.rs is a fast and flexible LLM inference engine implemented in Rust, designed to run and serve modern language models with an emphasis on performance and practical deployment. It provides multiple entry points for developers, including a CLI for running models locally and an HTTP server that exposes an OpenAI-compatible API surface for easy integration with existing clients. The project includes hardware-aware tooling that can benchmark a system and choose sensible quantization and device-mapping strategies, helping users get strong performance without manual tuning. -
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5
FLAML
A fast library for AutoML and tuning
FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically. It frees users from selecting learners and hyperparameters for each learner. For common machine learning tasks like classification and regression, it quickly finds quality models for user-provided data with low computational resources. It supports both classical machine learning models and deep neural networks. It is easy to customize or extend. Users can find their... -
6
Minecraft server optimization guide
Minecraft server optimization guide
...Rather than offering a single universal configuration, the guide explains how different server settings, software choices, and infrastructure decisions affect server performance and stability. It covers a wide range of topics including server software selection, configuration tuning, JVM parameters, hardware considerations, and common mistakes that can cause lag or instability. The goal of the project is to help administrators understand how the Minecraft server engine works so they can make informed decisions about optimization rather than blindly applying configuration changes. The documentation emphasizes experimentation and explains that every server has different requirements depending on player count, hardware, and gameplay style. -
7
Thorium for Android
High-performance, privacy-focused browser built as a fork of Chromium
...Like its desktop counterparts, Thorium for Android compiles the latest Chromium source with targeted optimizations and patches, aiming for faster loading, smoother rendering, and sensible defaults that emphasize privacy and reduced unwanted data flows. The Android branch adapts these enhancements to work on ARM and ARM64 devices, offering users a familiar yet distinct browsing experience with added performance tuning over standard mobile browsers. It typically includes the same underlying engine that scored high in independent performance benchmarks and leverages optimization flags and compiler improvements to boost responsiveness. -
8
ModSecurity Nginx Connector
ModSecurity v3 Nginx Connector
ModSecurity-nginx is the connector that embeds the ModSecurity v3 (libmodsecurity) web application firewall engine into NGINX. It integrates WAF processing into the NGINX request/response phases, allowing rules to inspect headers, bodies, and even streaming request data before it reaches upstream apps. Operators can load the OWASP Core Rule Set or custom rules to detect and block common attacks such as SQLi, XSS, RCE patterns, and protocol anomalies. -
9
P2P Media Loader
An open-source engine for P2P streaming of live and on demand video
p2p-media-loader is a JavaScript library that enables peer-to-peer delivery of video content using WebRTC, reducing server load and improving scalability for streaming platforms. It works seamlessly with HLS and DASH formats by extending existing players like hls.js and dash.js, allowing viewers to share video segments with one another. The library is optimized for browser environments and is ideal for developers looking to build decentralized or bandwidth-efficient media applications. -
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10
glMatrix
Javascript Matrix and Vector library for High Performance WebGL apps
...These types of applications demand high performance vector and matrix math, which is something that Javascript doesn't provide by default. glMatrix to the rescue! glMatrix is designed to perform vector and matrix operations stupidly fast! By hand-tuning each function for maximum performance and encouraging efficient usage patterns through API conventions, glMatrix will help you get the most out of your browsers Javascript engine. -
11
Sophia Script for Windows
The most powerful PowerShell module for fine-tuning Windows
Sophia Script for Windows is a scripting environment or DSL (Domain-Specific Language) designed to provide scripting capabilities on Windows systems in a high-level, expressive way. It abstracts over native APIs and offers constructs that make system automation, file manipulation, registry access, and user scripting easier than raw PowerShell or batch scripts. The repository presumably contains runtime, script engine, and library helpers to simplify common Windows tasks (e.g., service... -
12
verl
Volcano Engine Reinforcement Learning for LLMs
VERL is a reinforcement-learning–oriented toolkit designed to train and align modern AI systems, from language models to decision-making agents. It brings together supervised fine-tuning, preference modeling, and online RL into one coherent training stack so teams can move from raw data to aligned policies with minimal glue code. The library focuses on scalability and efficiency, offering distributed training loops, mixed precision, and replay/buffering utilities that keep accelerators busy.... -
13
OpenXava
Automatic frontend engine for Java
Automatic frontend engine for Java. Write just the domain classes in plain Java. Get a web application ready for production. -
14
simutrans
A free transportation simulator game
Simutrans is a cross-platform simulation game where players try to successfully manage transportation systems between places by land, air, and water for passengers, mail, and goods. Planes, ships, trains, trams, trucks, buses, or monorails are at your disposal, but factories operate based on contracts and passengers can only travel to their set destinations. -
15
imference-desktop
Local-first AI image generation. No ComfyUI, no Python setup.
Development happens on GitHub: https://github.com/Publikey/imference-desktop Imference Desktop is an open-source, local-first AI image generation app. It installs an isolated inference engine for you — no terminal, no CUDA wrestling, no Python environment. It auto-detects your GPU and tunes offloading/quantization to fit your VRAM: 8GB runs SDXL smoothly. Run seven model families locally (SDXL, SD 1.5, Z-Image, FLUX, Chroma, Qwen-Image, Anima), load your own .safetensors from Civitai, and... -
16
Razer Cortex
Automatically streamline your PC’s performance
Automatically streamline your PC’s performance and visuals for supported games, thanks to an advanced AI with a machine-learning algorithm that calculates the best settings based on your preferences. Take your PC optimization one step further with a one-stop solution that automatically detect and delete junk files to free up space. Get more bang for your buck with a price comparison engine that scans top digital PC game stores to compile the best prices, as you join frequent giveaways for a... -
17
Ultralight
Lightweight, high-performance HTML renderer for game developers
...Available for desktop apps, game consoles, TVs, embedded device displays, servers, and more. Official API for C and C++, with bindings for more. Render web-content on the GPU via Direct3D, Metal, OpenGL, or your own engine for unmatched visual performance. Render web-content on the CPU via SIMD/parallel for incredibly easy integration with any environment (including server-side!). Ultralight is engineered for peak performance, ensuring minimal CPU and memory usage. Customize low-level platform functionality, integrate JavaScript directly with native code, dive deep into performance tuning, and more. ... -
18
json-rules-engine
A rules engine expressed in JSON
A rules engine expressed in JSON. json-rules-engine is a powerful, lightweight rules engine. Rules are composed of simple json structures, making them human-readable and easy to persist. -
19
Lightning Bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers
Bolts package provides a variety of components to extend PyTorch Lightning, such as callbacks & datasets, for applied research and production. Torch ORT converts your model into an optimized ONNX graph, speeding up training & inference when using NVIDIA or AMD GPUs. We can introduce sparsity during fine-tuning with SparseML, which ultimately allows us to leverage the DeepSparse engine to see performance improvements at inference time. -
20
AppShark
Static taint analysis platform to scan vulnerabilities
AppShark is an open-source static taint-analysis platform developed by ByteDance designed to scan Android application packages (APKs) for potential security or privacy vulnerabilities. It performs code analysis without executing the app — inspecting APK contents, tracking data flows (taints), and detecting risky patterns such as insecure file access, unsafe API usage, resource-leak possibilities, or misconfigurations. Users can customize scanning via rule sets (written in JSON), defining... -
21
Ion
Portable suite of libraries and tools for building client applications
...Asset utilities handle image formats, texture compression, and color management so pipelines can stay consistent across desktop and mobile GPUs. A “remote” subsystem exposes live application state for introspection and debugging, which is extremely useful when tuning performance on devices you can’t easily instrument. Across the stack, Ion emphasizes deterministic behavior, robust error checking in debug builds. -
22
AI Platform Training and Prediction
Cloud ML Engine repo
AI Platform Training and Prediction is a collection of machine learning example projects that demonstrate how to train, deploy, and serve models using Google Cloud AI Platform and related services. It includes a wide variety of implementations across frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost, allowing developers to explore different approaches to building ML solutions. The repository covers the full machine learning lifecycle, including data preprocessing, model... -
23
gpt-2-simple
Python package to easily retrain OpenAI's GPT-2 text-generating model
A simple Python package that wraps existing model fine-tuning and generation scripts for OpenAI's GPT-2 text generation model (specifically the "small" 124M and "medium" 355M hyperparameter versions). Additionally, this package allows easier generation of text, generating to a file for easy curation, allowing for prefixes to force the text to start with a given phrase. For finetuning, it is strongly recommended to use a GPU, although you can generate using a CPU (albeit much more slowly). ... -
24
Couler
Unified Interface for Constructing and Managing Workflows
Couler is a system designed for unified machine learning workflow optimization in the cloud. Couler endeavors to provide a unified interface for constructing and optimizing workflows across various workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. Couler enhances workflow efficiency through features like Autonomous Workflow Construction, Automatic Artifact Caching Mechanisms, Big Workflow Auto Parallelism Optimization, and Automatic Hyperparameters Tuning. -
25
DarkForestGo
DarkForest, the Facebook Go engine
darkforestGo is an early deep-reinforcement-learning Go engine that combined a convolutional policy/value network with Monte Carlo Tree Search (MCTS) to play the full 19×19 game at a strong amateur level. The system couples fast GPU policy inference with CPU or GPU-assisted tree search so priors from the network guide exploration while search refines local tactics. Training pipelines mix supervised learning from human professional games and self-play fine-tuning, allowing the model to learn opening patterns and endgame tactics beyond simple pattern libraries. ...
