Search Results for "human" - Page 5
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Showing 1455 open source projects for "human"
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video2robot
End-to-end pipeline converting generative videos
video2robot is an end-to-end open-source pipeline that converts generative video or prompt-driven motion content into executable humanoid robot motion sequences, enabling researchers and developers to go from high-level action descriptions or videos to robot-ready motion data. The pipeline supports both prompt-to-video generation using models like Veo/Sora and video upload processing, followed by human pose extraction through a 3D pose model and retargeting of that motion to robot joints using a general motion retargeting system. This workflow allows users to generate robot motion files that specify joint angles, root positions, and orientations that can be deployed on supported robot platforms (e.g., Unitree models). Video2robot includes scripts for each stage of the pipeline (generation, extraction, conversion, visualization) and can run as a CLI or through a basic web UI. -
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whoami.filippo.io
A ssh server that knows who you are. $ ssh whoami.filippo.io
...It is especially helpful when validating modern TLS features like ALPN, HTTP versions, and certificate behavior under different client stacks. Because the output is human-friendly, it doubles as an educational resource for understanding how transport and application-layer negotiations actually manifest. Teams use it to troubleshoot misconfigurations and confirm policy enforcement without setting up their own inspection endpoints. -
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Telos
Telos is an open-sourced framework for creating Deep Context
...Although lightweight in implementation (for example a .md context file), its ambition is philosophical: helping actors live intentionally and track progress toward purpose. It aligns with broader themes of human flourishing and human-centred frameworks that Miessler discusses in his writing. -
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PraisonAI
PraisonAI application combines AutoGen and CrewAI or similar framework
PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration. Chat with your ENTIRE Codebase. Praison AI, leveraging both AutoGen and CrewAI or any other agent framework, represents a low-code, centralized framework designed to simplify the creation and orchestration of multi-agent systems for various LLM applications, emphasizing ease of use, customization, and human-agent interaction. -
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Requests
A simple, yet elegant, HTTP library.
Requests is the de facto HTTP library for Python—simple, elegant, and human-friendly. It wraps urllib3 to provide intuitive methods for sending HTTP/1.1 requests, handling sessions, cookies, redirects, authentication, proxies, and more. -
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DeepSeek V2
Strong, Economical, and Efficient Mixture-of-Experts Language Model
...The V2 model is expected to support more advanced features like better context window handling, more efficient inference, better performance on challenging tasks, and stronger alignment with human feedback. Because DeepSeek is pushing open-weight competition, this V2 iteration is meant to solidify its position in benchmark rankings and in developer adoption. The code in the repository may include description files, support for tool use or plug-in architectures, and artifacts showing fine-tuning or prompt templates. -
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Gherkin
A parser and compiler for the Gherkin language
Gherkin is a domain-specific language used in behavior-driven development (BDD) to describe software behaviors in a human-readable format. It allows stakeholders to write test cases in plain language, bridging the gap between technical and non-technical team members. -
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OpenHands
Open-source autonomous AI software engineer
...Use AI to tackle the toil in your backlog, so you can focus on what matters: hard problems, creative challenges, and over-engineering your dotfiles We believe agentic technology is too important to be controlled by a few corporations. So we're building all our agents in the open on GitHub, under the MIT license. Our agents can do anything a human developer can: they write code, run commands, and use the web. We're partnering with AI safety experts like Invariant Labs to balance innovation with security. -
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ARIS
Lightweight Markdown-only skills for autonomous ML research
...The project emphasizes long-running workflows that can explore problem spaces more deeply than manual intervention would typically allow. It also highlights the potential of autonomous agents to handle repetitive or exploratory tasks that would otherwise require significant human effort. The framework is particularly relevant for developers interested in automated experimentation, continuous learning systems, and AI-driven productivity. -
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Symfony Inflector
Converts words between their singular and plural forms (English only)
Symfony Inflector is a lightweight PHP component that provides tools for transforming English words between singular and plural forms. It is useful for dynamic naming, code generation, and building human-readable interfaces. The component includes simple, reliable inflection logic and integrates easily with other Symfony components or standalone PHP projects. -
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Paperclip
Open-source orchestration for zero-human companies
Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI... -
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LangGraph Studio
Desktop app for prototyping and debugging LangGraph applications
LangGraph Studio offers a new way to develop LLM applications by providing a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications. With visual graphs and the ability to edit state, you can better understand agent workflows and iterate faster. LangGraph Studio integrates with LangSmith so you can collaborate with teammates to debug failure modes. While in Beta, LangGraph Studio is available for free to all LangSmith users on any plan... -
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Dendrite
Tools to build web AI agents that can authenticate
Dendrite Python SDK is a toolkit for building web AI agents that can authenticate, interact with, and extract data from any website, facilitating web automation tasks. -
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PentAGI
Perform penetration testing tasks
...The platform aims to automate significant portions of the penetration testing lifecycle, including reconnaissance, vulnerability discovery, and exploitation planning, reducing the amount of manual effort required from security professionals. It leverages agent-based architecture and AI reasoning to chain together tools and strategies in a way that mimics experienced human testers. The project is built to be modular and extensible so researchers and red teams can customize behavior or integrate additional tools as needed. By focusing on autonomous decision-making in cybersecurity contexts, PentAGI represents part of the broader trend toward AI-assisted offensive security automation. -
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HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
HunyuanVideo is a cutting-edge framework designed for large-scale video generation, leveraging advanced AI techniques to synthesize videos from various inputs. It is implemented in PyTorch, providing pre-trained model weights and inference code for efficient deployment. The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU... -
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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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Tasks.md
A self-hosted, Markdown file based task management board
Tasks.md is a simple, terminal-based task manager that stores tasks in a human-readable Markdown format. Designed for those who value simplicity and version control, it lets you manage to-do lists directly from the command line with minimal dependencies. Ideal for developers who want a lightweight productivity tool that integrates well with Git. -
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kallisto
Near-optimal RNA-Seq quantification
...It is based on the idea of using pseudoalignment to quickly determine reads and targets’ compatibility, with no need for alignment. According to benchmarks done on a Mac desktop computer, kallisto can quantify 30 million human bulk RNA-seq reads in less than 3 minutes with just the read sequences and a transcriptome index, that in itself can take more than 10 minutes to build. And since it uses pseudoalignment, it is robust to errors in the reads and preserves the key information needed for quantification. This makes kallisto not only fast but highly accurate as well. ... -
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pip-tools
A set of tools to keep your pinned Python dependencies fresh
pip-tools enhances Python dependency management by providing pip-compile and pip-sync commands. It transforms human-friendly requirements.in into fully pinned requirements.txt, ensuring reproducible environments. It also resolves transitive dependencies and synchronizes your environment with pinned versions. Widely used in both development and CI workflows, it boosts reliability and eliminates drift in deployed setups. -
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semantic-release
Fully automated version management and package publishing
semantic-release automates the whole package release workflow including: determining the next version number, generating the release notes, and publishing the package. This removes the immediate connection between human emotions and version numbers, strictly following the Semantic Versioning specification and communicating the impact of changes to consumers. -
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TimerOutputs.jl
Formatted output of timed sections in Julia
TimerOutputs.jl is a lightweight Julia package that provides a structured way to measure and report the execution time of different parts of code. It is particularly useful for performance profiling in scientific computing, allowing developers to annotate sections of code and generate readable timing summaries. TimerOutputs.jl supports nested timers and formatted output to both terminal and files, helping users easily identify bottlenecks in their programs. -
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OpenAPI Generator CLI
A node package wrapper
OpenAPI Generator CLI is a command-line interface for generating API client SDKs, server stubs, and documentation from OpenAPI specifications. It helps developers automate the process of creating client libraries and backend implementations for APIs. -
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Agentic Inbox
A self-hosted email client with an AI agent, running entirely on Cloud
...The system supports full email functionality, including sending, receiving, threading, and attachment management through a modern web interface. Its AI agent can search conversations, summarize messages, and generate replies, while still requiring human approval before sending. The architecture combines durable state management, storage services, and AI inference into a unified workflow. Overall, it serves as a reference implementation for building AI-powered communication tools with full control over data and infrastructure. -
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DriveLM
Driving with Graph Visual Question Answering
...Instead of treating autonomous driving as a purely sensor-driven pipeline, DriveLM frames it as a reasoning problem where models answer structured questions about the environment to guide decision making. The system includes DriveLM-Data, a dataset built on driving environments such as nuScenes and CARLA, where human-written reasoning steps connect different layers of driving tasks. This design allows models to learn relationships between objects, behaviors, and navigation decisions through graph-structured logic. -
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RLHF-Reward-Modeling
Recipes to train reward model for RLHF
RLHF-Reward-Modeling is an open-source research framework focused on training reward models used in reinforcement learning from human feedback for large language models. In RLHF pipelines, reward models are responsible for evaluating generated responses and assigning scores that guide the model toward outputs that better match human preferences. The repository provides training recipes and implementations for building reward and preference models using modern machine learning frameworks. ...