Search Results for "tasks" - Page 56
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Showing 3767 open source projects for "tasks"
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Diplomacy Cicero
Code for Cicero, an AI agent that plays the game of Diplomacy
...The codebase is implemented primarily in Python with performance-critical components in C++ (via pybind11 bindings) and is configured to run in a high‐GPU cluster environment. Configuration is managed via protobuf files to define tasks such as self-play, benchmark agent comparisons, and RL training. The project is now archived and read-only, reflecting that it is no longer actively developed but remains publicly available for research use. -
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_s
Inactive project
...It provides semantic templates, accessibility-minded markup, and a minimal stylesheet that sets sensible defaults without imposing a visual identity. The codebase includes template tags, custom header and menu scaffolding, widget areas, and translation-ready strings to speed up common theme tasks. Its structure is intentionally opinionated about where code lives and how templates compose, which makes large customizations predictable and maintainable. Developers can opt into Sass and build helpers, but the theme is usable as a lightweight baseline even without a complex toolchain. Because it avoids design flourishes, Underscores encourages teams to layer their branding and components on top of a solid, well-documented skeleton that tracks WordPress best practices. -
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Live-Forensicator
A suite of Tools to aid Incidence Response and Live Forensics
...The output bundles are often compatible with other forensic parsers and workflows, which helps teams move from initial triage to deep-dive forensic analysis without re-running collection tasks. -
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SSPanel-UIM
Multi-purpose proxy service management system
SSPanel-UIM is a web interface and management platform for Shadowsocks (a secure SOCKS5 proxy tool often used to circumvent censorship). It supports multi-tenant accounts, traffic quotas, node management, coupon systems, invite codes, and payment gateways integration (for example, Stripe, PayPal, etc.). The platform includes features like user dashboards, usage graphs, IP/device logging, and automatic coupon or traffic renewal logic. Administrators can configure SSR/V2Ray or other proxy... -
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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Dagster
An orchestration platform for the development, production
Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust multi-tenant, multi-tool engine that scales technically and organizationally. ... -
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Alan AI
In-App assistant SDK to build a multimodal conversational UX websites
...Alan's AI-backend powered by the industry’s best Automatic Speech Recognition (ASR), Natural Language Understanding (NLU) and Speech Synthesis. The Alan Cloud provisions and handles the infrastructure required to maintain your voice deployments and perform all the voice processing tasks. To voice enable your app, you only need to get the Alan Client SDK and drop it to your app. No need to plan for, deploy and maintain any infrastructure or speech components - the Alan Platform does the bulk of the work. -
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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 desired customizability from a smooth range: minimal customization (computational resource budget), medium customization (e.g., scikit-style learner, search space, and metric), or full customization (arbitrary training and evaluation code). ... -
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Datasets
Hub of ready-to-use datasets for ML models
Datasets is a library for easily accessing and sharing datasets, and evaluation metrics for Natural Language Processing (NLP), computer vision, and audio tasks. Load a dataset in a single line of code, and use our powerful data processing methods to quickly get your dataset ready for training in a deep learning model. Backed by the Apache Arrow format, process large datasets with zero-copy reads without any memory constraints for optimal speed and efficiency. We also feature a deep integration with the Hugging Face Hub, allowing you to easily load and share a dataset with the wider NLP community. ... -
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Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion
Grounded-Segment-Anything is a research-oriented project that combines powerful open-set object detection with pixel-level segmentation and subsequent creative workflows, effectively enabling detection, segmentation, and high-level vision tasks guided by free-form text prompts. The core idea behind the project is to pair Grounding DINO — a zero-shot object detector that can locate objects described by natural language — with Segment Anything Model (SAM), which can produce detailed masks for objects once they are localized. This fusion lets users provide arbitrary text descriptions (e.g., “a cat, a bicycle, or a coffee mug”), have the detection model find relevant bounding boxes, and then use SAM to generate precise segmentation masks that isolate each object in the scene. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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WebMCP
Enabling web apps to get accessed by AI agents
...Unlike backend integrations, WebMCP executes tools within the live web page, preserving shared context between the user, the agent, and the application UI. This approach supports collaborative, human-in-the-loop workflows where users can delegate tasks to agents while maintaining visibility and control. WebMCP reduces developer burden by reusing existing frontend logic instead of requiring separate server-side integrations. Designed to complement protocols like MCP rather than replace them, WebMCP strengthens accessibility, interoperability, and agent reliability across the modern web. -
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Surge-rules
The Surge rule set (DOMAIN-SET and RULE-SET) for the Surge for iOS
Surge-rules is a project devoted to maintaining and distributing rule sets compatible with the Surge proxy application (for macOS/iOS), intended for domain- or routing-based traffic management. Instead of manually building or maintaining Surge configuration files, users can rely on this repo to obtain up-to-date “RULE-SET” or “DOMAIN-SET” configurations that reflect community-curated lists of domains/IPs for direct access, proxying, blocking, or custom routing. Because network and domain... -
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Step-Audio 2
Multi-modal large language model designed for audio understanding
Step-Audio2 is an advanced, end-to-end multimodal large language model designed for high-fidelity audio understanding and natural speech conversation: unlike many pipelines that separate speech recognition, processing, and synthesis, Step-Audio2 processes raw audio, reasons about semantic and paralinguistic content (like emotion, speaker characteristics, non-verbal cues), and can generate contextually appropriate responses — including potentially generating or transforming audio output. It... -
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Vidi2
Large Multimodal Models for Video Understanding and Editing
Vidi is a family of large multimodal models developed for deep video understanding and editing tasks, integrating vision, audio, and language to allow sophisticated querying and manipulation of video content. It’s designed to process long-form, real-world videos and answer complex queries such as “when in this clip does X happen?” or “where in the frame is object Y during that moment?” — offering temporal retrieval, spatio-temporal grounding (i.e. locating objects over time + space), and even video question answering. ... -
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macroquad
Cross-platform game engine in Rust
...A strength of Macroquad is its cross-platform reach: it supports desktop (Windows, Linux, macOS), web (via WebAssembly / HTML5), and mobile (Android, iOS) without requiring platform-specific code. Compilation is relatively fast with minimal dependencies, so small projects or prototypes can spin up quickly. Because it’s “batteries included” for common tasks (rendering, drawing shapes, text, basic UI, game loop), Macroquad works well for rapid prototyping. -
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MiniMax-M2
MiniMax-M2, a model built for Max coding & agentic workflows
...The model is tuned for end-to-end developer flows such as multi-file edits, compile–run–fix loops, and test-validated repairs across real repositories and diverse programming languages. It is also optimized for multi-step agent tasks, planning and executing long toolchains that span shell commands, browsers, retrieval systems, and code runners. Benchmarks show that it achieves highly competitive scores on a wide range of intelligence and agent benchmarks, including SWE-Bench variants, Terminal-Bench, BrowseComp, GAIA, and several long-context reasoning suites. -
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GELab-Zero
GUI Exploration Lab. One of the best GUI agent solutions
...The idea is to let developers or users harness an AI agent that can simulate clicking, typing, reading UI elements, and interacting with apps in a human-like way via the GUI, which can enable tasks like automated testing, scriptable workflows, or even autonomous usage of GUI-based applications. Because GELab-Zero is fully open-source and doesn’t require external services, it offers privacy and control: everything runs locally under your control. The project provides a lightweight base model (4B parameters in its public release) that can run on modest hardware (depending on quantization), making it more accessible than many large-scale AI solutions. -
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.NET for Apache Spark
A free, open-source, and cross-platform big data analytics framework
.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write... -
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Monoio
Rust async runtime based on io-uring
...Its design philosophy centers on a “thread-per-core” model where each core runs its own event loop, minimizing cross-thread synchronization needs, avoiding the overhead and complexity of task scheduling, and letting developers write efficient, low-overhead asynchronous networking or I/O code. Because tasks do not need to be Send or Sync and can make use of thread-local data safely, Monoio simplifies certain concurrency paradigms while delivering performance benefits for workloads like high-throughput network servers, proxies, or real-time services. The runtime includes abstractions for async sockets, readers/writers, TCP/UDP networking, and compatibility layers (macros, crates) to ease adoption. -
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Pretzel AI
The modern replacement for Jupyter Notebooks
...It extends the traditional notebook interface by embedding AI capabilities directly into the development experience, including inline code generation, contextual editing, and conversational interaction with code and data. Users can interact with AI models through commands within cells or via a sidebar interface, enabling tasks such as debugging, code explanation, and automated transformations. The platform supports multiple AI providers and allows users to configure their preferred models, including cloud-based or local deployments, giving flexibility and control over how AI is used. PretzelAI maintains compatibility with familiar notebook workflows while enhancing productivity through features like auto-completion, variable-aware prompts, and error correction. -
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Jaffree
Java ffmpeg and ffprobe command-line wrapper
Jaffree is a Java library that provides a clean and modern API for interacting with FFmpeg, allowing developers to programmatically execute multimedia processing tasks. It abstracts the complexity of command-line FFmpeg usage by offering strongly typed Java classes for configuring inputs, outputs, codecs, and filters. The library supports streaming data, handling real-time processing scenarios, and integrating FFmpeg pipelines directly into Java applications. It is designed for flexibility and performance, enabling both simple conversions and advanced multimedia workflows. ... -
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GPU Puzzles
Solve puzzles. Learn CUDA
GPU Puzzles is an educational project designed to teach GPU programming concepts through interactive coding exercises and puzzles. Instead of presenting traditional lecture-style explanations, the project immerses learners directly in hands-on programming tasks that demonstrate how GPU computation works. The exercises are implemented using Python with the Numba CUDA interface, which allows Python code to compile into GPU kernels that run on CUDA-enabled hardware. By solving progressively more complex puzzles, learners gain a practical understanding of how parallel algorithms operate on graphics processing units. ... -
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VisualGLM-6B
Chinese and English multimodal conversational language model
VisualGLM-6B is an open-source multimodal conversational language model developed by ZhipuAI that supports both images and text in Chinese and English. It builds on the ChatGLM-6B backbone, with 6.2 billion language parameters, and incorporates a BLIP2-Qformer visual module to connect vision and language. In total, the model has 7.8 billion parameters. Trained on a large bilingual dataset — including 30 million high-quality Chinese image-text pairs from CogView and 300 million English pairs... -
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Office Docs PowerShell
PowerShell Reference for Office Products
This repository aggregates documentation, examples, and cmdlet references for PowerShell modules that manage Microsoft 365 and Office services. It collects guidance for admins on tasks such as Exchange Online mail flow, SharePoint site provisioning, Teams configuration, and tenant-level policy settings—often including parameter examples, common scenarios, and troubleshooting notes. The docs are structured so operators can copy/paste ready examples into their automation scripts or adapt them for bulk changes using CSV-driven loops. ... -
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python-whatsapp-bot
Build AI WhatsApp Bots with Pure Python
...The repository includes example scripts and project structures that illustrate how to integrate OpenAI or similar AI models into the bot workflow, enabling conversational agents capable of answering questions or performing automated tasks. -
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MX-Linux
MX-Linux project
...It is a family of operating systems that are designed to combine elegant and efficient desktops with high stability and solid performance. MX’s graphical tools provide an easy way to do a wide variety of tasks, while the Live USB and snapshot tools inherited from antiX add impressive portability and remastering capabilities. Extensive support is available through videos, documentation and a very friendly Forum.
