Search Results for "hermes/2018"
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Showing 19 open source projects for "hermes/2018"
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Hermes Agent
The agent that grows with you
Hermes Agent is a fully open-source autonomous AI agent designed to run persistently on your own machine or server, becoming more capable the longer it operates by learning from experience and building reusable procedural skills. Rather than functioning as a stateless chatbot, it maintains long-term memory across sessions and can generate searchable “Skill Documents” that capture how it solved complex tasks so it doesn’t start from scratch each time. -
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Hermes Web UI
The best way to use Hermes Agent from the web or from your phone
Hermes WebUI is a browser-based interface for interacting with the Hermes autonomous agent, providing full feature parity with its command-line experience. It offers a clean, multi-panel layout that includes chat interaction, session management, and workspace file browsing. The interface allows users to manage agent sessions, configure models, and interact with persistent memory systems directly from a web environment. -
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Hermes Agent Orange Book
From Beginner to Master · Orange Book Series
Hermes Agent Orange Book is a structured knowledge resource and guide for building and understanding Hermes-style autonomous agents. It compiles principles, workflows, and patterns used in agent-based systems into an organized format. The project focuses on explaining how agents manage memory, tools, and iterative reasoning processes. It serves as both a reference and a learning resource for developers working with autonomous AI systems. -
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GBrain
Garry's Opinionated OpenClaw/Hermes Agent Brain
...It operates by transforming large collections of markdown documents, personal notes, and external data into a searchable knowledge base backed by PostgreSQL and vector embeddings, enabling both semantic and keyword-based retrieval. The system is tightly integrated with agent frameworks such as OpenClaw and Hermes, allowing AI agents to read from and write to memory continuously, effectively evolving their understanding over time. GBrain introduces a hybrid retrieval model that combines embeddings with ranking strategies to improve relevance when querying large datasets. It also organizes knowledge into structured documents with summaries and timelines, helping agents maintain context and track changes in information. -
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Joanium
Your smart, reliable, and friendly personal AI assistant.
...Introducing Joanium — an open-source AI agent built for real execution. While others are still optimizing conversations, Joanium is built to plan, act, and deliver outcomes. Claude. OpenClaw. Hermes. They defined what came before. This is what comes next. Designed for a new standard: • Agent-first architecture (not chat-first) • Open source by default (no black boxes) • Local-first control (your data stays yours) • Built for workflows, not prompts The shift is already happening. From: → Asking AI questions To: → Assigning AI work The teams that adapt early will move faster than everyone else. ... -
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MMDetection
An open source object detection toolbox based on PyTorch
MMDetection is an open source object detection toolbox that's part of the OpenMMLab project developed by Multimedia Laboratory, CUHK. It stems from the codebase developed by the MMDet team, who won the COCO Detection Challenge in 2018. Since that win this toolbox has continuously been developed and improved. MMDetection detects various objects within a given image with high efficiency. Its training speed is comparable or even faster than those of other codebases like Detectron2 and SimpleDet. It supports multiple detection frameworks right out of the box, as well as various backbones and methods. -
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ImageAI
A python library built to empower developers
ImageAI is an easy-to-use Computer Vision Python library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find features supported, links to official documentation as well as articles on ImageAI. ImageAI is widely used around the world by professionals,... -
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Rhasspy
Offline private voice assistant for many human languages
Rhasspy (ˈɹæspi) is an open-source, fully offline set of voice assistant services for many human languages that works well with Hermes protocol-compatible services (Snips.AI), Home Assistant and Hass.io, Node-RED, Jeedom, OpenHAB. Rhasspy will produce JSON events that can trigger action in home automation software, such as a Node-RED flow. Rhasspy comes with a snazzy web interface that lets you configure, program, and test your voice assistant remotely from your web browser. -
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Isolation‐based anomaly detection
Isolation‐based anomaly detection using nearest‐neighbor ensembles
This site provides the source code of Isolation‐based anomaly detection (iNNE). https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12156 Bandaragoda, T.R., Ting, K.M., Albrecht, D., Liu, F.T., Zhu, Y. and Wells, J.R., 2018. Isolation‐based anomaly detection using nearest‐neighbor ensembles. Computational Intelligence, 34(4), pp.968-998. -
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Magnitude
A fast, efficient universal vector embedding utility package
...It is primarily intended to be a simpler / faster alternative to Gensim but can be used as a generic key-vector store for domains outside NLP. It offers unique features like out-of-vocabulary lookups and streaming of large models over HTTP. Published in our paper at EMNLP 2018 and available on arXiv. -
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Dopamine
Framework for prototyping of reinforcement learning algorithms
...It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important by Hessel et al., n-step Bellman updates, prioritized experience replay, and distributional reinforcement learning. For completeness, we also provide an implementation of DQN (Mnih et al., 2015). ... -
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DetectAndTrack
The implementation of an algorithm presented in the CVPR18 paper
DetectAndTrack is the reference implementation for the CVPR 2018 paper “Detect-and-Track: Efficient Pose Estimation in Videos,” focusing on human keypoint detection and tracking across video frames. The system combines per-frame pose detection with a tracking mechanism to maintain identities over time, enabling efficient multi-person pose estimation in video. Code and instructions are organized to replicate paper results and to serve as a starting point for researchers working on pose in video. ... -
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3D ResNets for Action Recognition
3D ResNets for Action Recognition (CVPR 2018)
We uploaded the pretrained models described in this paper including ResNet-50 pretrained on the combined dataset with Kinetics-700 and Moments in Time. We significantly updated our scripts. If you want to use older versions to reproduce our CVPR2018 paper, you should use the scripts in the CVPR2018 branch. -
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Exposure
Learning infinite-resolution image processing with GAN and RL
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. ACM Transactions on Graphics (presented at SIGGRAPH 2018) Exposure is originally designed for RAW photos, which assumes 12+ bit color depth and linear "RGB" color space (or whatever we get after demosaicing). jpg and png images typically have only 8-bit color depth (except 16-bit pngs) and the lack of information (dynamic range/activation resolution) may lead to suboptimal results such as posterization. ... -
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OpenCE
Contrast Enhancement Techniques for low-light images
OpenCE is an open source implementation of the paper Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018) by Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun. The framework provides a complete training and evaluation pipeline for human pose estimation using a cascaded pyramid network (CPN). OpenCE leverages a feature pyramid structure combined with a refinement stage to improve keypoint detection accuracy across multiple scales, particularly for challenging poses in crowded scenes. ... -
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WumpusWorld-CSharp
A Wumpus World in c# and prolog with a GUI
...C# has the main environment of the game and the GUI The GUI was created using WPF , Windows Presentation Foundation Prolog is used as the knowledgebase of the agent of Wumpus World In order for C# to communicate with Prolog a Csharp interface is used SWI-Prolog. Author: Abdulrahman Zakrt Date: Jan.02, 2018 Requirements This implementation of Wumpus World uses prolog and is based on Dotnet and requires the following: 64 bit windows machine , Currently the game only supports 64 bit machines SWIPL(v6.6.6) 64 bit (Installed automatically by the game if not available) Latest Version of DotNet (Installed automatically by windows) How to Use In order to use the GUI only you can use the setup.exe in the SetupFiles. -
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Hermes Natural Language Processing
A repository of software, documentation and data for NLP
Hermes is a repository of software, documentation and data for NLP. I am currently adding corpora extracted from Wikipedia (mostrly in Romance languages). -
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HeRMeS is a multi-platform communication tool providing Ready-Made Speech for disabled persons. It allows users to write through pictures and words, and read the sentences created with text-to-speech technology.
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Hermes 4
Hermes 4 FP8: hybrid reasoning Llama-3.1-405B model by Nous Research
...The model is designed for schema adherence, producing valid JSON and repairing malformed outputs, making it highly suitable for tool use and function calling. Hermes 4 is engineered for superior steerability with reduced refusal rates, aligning responses to user values while preserving assistant quality. It achieves state-of-the-art results on RefusalBench, outperforming both closed and open models in balancing helpfulness with adaptability.
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