Search Results for "specialized" - Page 13
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Showing 575 open source projects for "specialized"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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SCADA-LTS
A comprehensive Supervisory Control, Data Acquisition, and Execution
SCADA-LTS is an advanced FOSS, web-based, multi-platform environment designed to build your own Supervisory Control, Data Acquisition, and Management Execution Software - SCADA/MES. Its architecture provides a robust foundation for complex industrial automation and monitoring. Optimized for Smart Infrastructure, it is highly capable of managing industrial PV/BESS, Smart buildings, municipal Water networks or Wastewater treatment, ANPR telemetry, City-wide lighting, and other diverse data... -
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...By leveraging the collaborative and interconnected capabilities of a wiki or note-taking system like Obsidian, you can explore Schema.Org’s types, properties, and hierarchies in an intuitive and editable way. A specialized fork of Quartz v4.5.2 optimizes the publication of YAML-LD web pages by prioritizing concept connectivity and structural clarity. Key enhancements include a dedicated menu for tag categories and an integrated Graph Network View to visualize relationships between concepts. Navigation is further streamlined through collapsible frontmatter featuring Obsidian-style Wikilinks, alongside an Explorer and Backlinks panel for traditional folder-based browsing.
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TagForge
Cross-platform AI tagging and prompt engineering studio
...Built on .NET 9 and Avalonia UI, it provides a sleek, high-performance workspace for crafting perfect prompts for Stable Diffusion, FLUX, Midjourney, and other generative AI models. ## Key Capabilities - Multi-model tagging: Specialized generators for Stable Diffusion (tags), FLUX/Midjourney (prose), and custom LLM workflows - Multimodal vision: Extract metadata or generate descriptive captions directly from images - Contextual chat assistant: Persistent, coding-capable AI helper with real-time provider features - Persona system: Create custom identities with dynamic input injection and role-based templates - Chat rules: Modular behavioral controls (Concise, Detailed, etc.) with CRUD interface - Agent orchestrator: Centralized management of API keys, endpoints, and model parameters -
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ideon
The Visual Hub for Your Projects: Centralize context on one canvas.
Ideon is a self-hosted visual workspace where everything related to a project lives on a single canvas. Most projects fail not because of poor execution, but because context disappears—code lives in repositories, designs in specialized tools, and decisions in fragmented chat threads. Ideon reduces the cognitive cost of switching between these by making their relationships explicit on a spatial map. Core Features: - Live Blocks : Embed GitHub repositories, notes, links, and files side-by-side. - Spatial Organization : Move beyond abstract hierarchies; use space to define relationships... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Dshell
Dshell is a network forensic analysis framework
An extensible network forensic analysis framework. Enables rapid development of plugins to support the dissection of network packet captures. This is a major framework update to Dshell. Plugins written for the previous version are not compatible with this version, and vice versa. By extension, dpkt and pypcap have been replaced with Python3-friendly pypacker and pcapy (respectively). Enables development of external plugin packs, allowing the sharing and installation of new,... -
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Syslogd2
High capacity syslog data collection, filtering, and management.
Syslogd2 is a syslog daemon that has been completely re-imagined specifically for use in network environments. It is multi-threaded, scalable and versatile with features designed for both network and host managers. Each Syslogd2 binary is customized from a set of over 20 features at compile-time. It can support input from text files, named-pipes, Linux kernel and user-defined Linux and (both IPv4 and IPv6) IP sockets (both UDP and TCP). It provides a pre-loadable name-cache that can... -
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NKTgLaw
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core implementation, REST/gRPC API, and 150+ client wrappers -
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Pixelization
Stable-diffusion-webui-pixelization
This is a specialized extension for the popular Stable Diffusion Web UI (AUTOMATIC1111) that focuses on converting or “pixelizing” images into a pixel-art aesthetic. It's designed as a plugin you install into the Web UI so that in the “Extras” or “Pixelization” tab you can drag in an input image and produce a stylized, block-based version with control over cell size, color depth, and segmentation. -
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DeiT (Data-efficient Image Transformers)
Official DeiT repository
DeiT (Data-efficient Image Transformers) shows that Vision Transformers can be trained competitively on ImageNet-1k without external data by using strong training recipes and knowledge distillation. Its key idea is a specialized distillation strategy—including a learnable “distillation token”—that lets a transformer learn effectively from a CNN or transformer teacher on modest-scale datasets. The project provides compact ViT variants (Tiny/Small/Base) that achieve excellent accuracy–throughput trade-offs, making transformers practical beyond massive pretraining regimes. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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ggthemes
Additional themes, scales, and geoms for ggplot2
...It supplements the default ggplot2 offerings by allowing users to apply special themes (e.g., inspired by classic publications, external visualization styles), additional scale functions, and specialized geoms or color scales. It is often used to make ggplot2 plots adhere to aesthetic styles from famous news outlets, scientific journals, or presentation decks. Additional color scales and palettes for discrete and continuous data to match theme aesthetics. Extensive documentation and examples for each theme / scale so users can see how plots look and tweak them. -
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ToRA
Tool-integrated Reasoning LLM Agents
...The framework was designed to address known weaknesses of large language models in mathematical problem solving and formal reasoning tasks. Training data includes tool-use trajectories that teach the model when to reason verbally and when to delegate tasks to specialized tools. -
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go-dork
Fast Go-based CLI scanner for running automated search engine dorks
...Written in the Go programming language, it focuses on speed and efficiency when executing advanced search queries across multiple search engines. It allows users to run specialized queries, often referred to as “dorks,” to discover publicly exposed data, misconfigurations, or potentially vulnerable resources. It supports several major search engines and enables users to switch between them depending on the target or query requirements. go-dork can retrieve results from multiple pages of search results and process them sequentially for broader coverage during scans. go-dork also supports custom HTTP headers and proxy configuration, which can help users work around restrictions such as captchas or filtering mechanisms. ... -
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genshin_artifact
Genshin Impact artifacts assessment, artifacts auto combination
genshin_artifact is a specialized optimization and analysis tool designed for the game Genshin Impact, focusing on evaluating and recommending optimal artifact builds for characters. It uses computational models and heuristic optimization algorithms to simulate damage output, stat scaling, and equipment combinations, helping players identify the most effective setups. -
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Punica
Serving multiple LoRA finetuned LLM as one
...Punica introduces a serving architecture that allows multiple LoRA adapters to share the same base model during inference, significantly reducing memory consumption and computational overhead. The system includes specialized CUDA kernels that enable batched GPU operations across different LoRA models simultaneously. This design allows a single GPU cluster to host many task-specific models while maintaining high throughput and minimal latency. The architecture also includes scheduling mechanisms that coordinate requests from multiple tenants and distribute workloads efficiently across available resources. -
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DB-GPT-Hub
A repository that contains models, datasets, and fine-tuning
DB-GPT-Hub is an open-source repository that provides datasets, models, and training tools designed to improve large language models for database interaction tasks, particularly Text-to-SQL. The project serves as a specialized extension of the broader DB-GPT ecosystem, focusing on the preparation and evaluation of models capable of translating natural language questions into structured database queries. It offers a modular framework that supports data preparation, model fine-tuning, benchmarking, and inference for Text-to-SQL systems. The repository includes datasets and experiment configurations that allow researchers to train models on real database schemas and evaluate them using standardized benchmarks. ... -
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DPM-Solver
Fast ODE Solver for Diffusion Probabilistic Model Sampling
...Diffusion models are powerful generative systems capable of producing high-quality images and other data, but traditional sampling methods often require hundreds or thousands of computational steps. The project introduces a specialized numerical solver designed to approximate the diffusion process using a small number of high-order integration steps. By reformulating the sampling problem as the solution of a diffusion-related ordinary differential equation, the solver can produce high-quality samples much more efficiently. This approach significantly reduces the computational cost required to generate images while maintaining strong generation quality. -
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SoftVC VITS Singing Voice Conversion
SoftVC VITS Singing Voice Conversion
...It is commonly used in creative audio workflows, especially in communities experimenting with synthetic singing and character voices. The repository includes training and inference pipelines that enable users to build and apply custom voice models. Overall, so-vits-svc serves as a specialized toolkit for neural singing voice conversion and audio synthesis research. -
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ReplitLM
Inference code and configs for the ReplitLM model family
ReplitLM is a family of open-source language models developed by Replit for assisting with programming tasks such as code generation and completion. The project includes model checkpoints, configuration files, and example code that enable developers to run and experiment with the models locally or within machine learning frameworks. These models are designed specifically for coding workflows and are trained on large datasets of source code covering many programming languages and development... -
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pokegb
A gameboy emulator that only plays Pokemon Blue, in ~50 lines of c++.
pokegb is an extremely compact and specialized Game Boy emulator written in C++ that is intentionally designed to run only Pokémon Red and Blue, rather than providing general-purpose compatibility. The project is notable for its extreme minimalism, with an implementation of roughly a few dozen lines of code, making it closer to a proof of concept or code-golf experiment than a traditional emulator. -
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dirhunt
Web crawler that finds hidden web directories without brute force
Dirhunt is an open source security tool designed to discover web directories and analyze website structures without relying on brute-force techniques. Instead of sending large numbers of guess-based requests, it operates as a specialized crawler that intelligently explores websites to identify accessible or hidden directories. Dirhunt can detect directories that expose “Index Of” listings, which may reveal files and other resources that were not intended to be publicly visible. It can also identify situations where directories are intentionally hidden through empty index files or servers that return misleading responses such as fake 404 errors. ... -
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XSharpDev
XSharp Repository for the Compiler source code
The Roslyn folder contains (modified) source from Roslyn The XSharp folder contains our own source for the compiler, documentation and other components. For the build process of the compiler we create our own "specialized" version of the CSharp Compiler. The source for this compiler and codeanalysis.dll is in the Tools folder. This compiler will translate some of the Roslyn Namespaces from CSharp into XSharp to prevent name conflicts when assemblies of both origins are in memory at the same time. Make sure you have VS 2019 or 2017 installed. The preferred edition is Enterprise. ... -
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TaskMatrix
Enable sending and receiving images during chatting
TaskMatrix is an experimental AI ecosystem designed to connect large language models with visual foundation models, APIs, and external systems in order to complete multimodal tasks collaboratively. The project expands beyond traditional chatbot behavior by enabling AI systems to process, generate, edit, and reason about images while coordinating multiple specialized models simultaneously. Originally introduced alongside the Visual ChatGPT concept, TaskMatrix acts as an orchestration framework where a central language model delegates subtasks to domain-specific AI systems such as image generators, segmentation tools, or recognition models. The architecture focuses on modularity, allowing new APIs and foundation models to be integrated as interchangeable task-solving components. ... -
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DataGym.ai
Open source annotation and labeling tool for image and video assets
DATAGYM enables data scientists and machine learning experts to label images up to 10x faster. AI-assisted annotation tools reduce manual labeling effort, give you more time to finetune ML models and speed up your go to market of new products. Accelerate your computer vision projects by cutting down data preparation time up to 50%. A machine learning model is only as good as its training data. DATAGYM is an end-to-end workbench to create, annotate, manage, and export the right training data... -
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crawly
High-level web crawling and scraping framework for Elixir apps
...Crawly follows the Elixir and OTP architecture model, enabling concurrent and fault-tolerant crawling processes that can handle many requests efficiently. Developers define specialized components called spiders to control how pages are visited and how information is extracted from them. It also supports extensibility through middlewares, pipelines, and fetchers that allow customization of request handling, data processing, and crawling behavior.