Search Results for "environment-modules" - Page 22
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Showing 927 open source projects for "environment-modules"
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Adeus
An open source AI wearable device that captures what you say
...The project explores the concept of agent-based AI systems that can break down objectives into smaller steps, execute them sequentially, and adapt based on intermediate results. It provides a structured environment for orchestrating workflows that involve multiple actions, such as retrieving data, generating content, or interacting with external tools. The framework is designed to be modular, allowing developers to customize agent behavior, integrate APIs, and extend capabilities depending on the use case. It also emphasizes iterative improvement, where agents can refine outputs or strategies over time based on feedback loops. ... -
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ECLiPSe CLP
ECLiPSe Constraint Logic Programming System
The ECLiPSe Constraint Logic Programming System is designed for solving combinatorial optimization problems, for the development of new constraint solver technology and their hybrids, and for the teaching of modelling, solving and search techniques. -
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AudioMuse-AI is an open-source, Dockerized environment that brings automatic playlist generation to your self-hosted music library. Using tools such as Librosa and ONNX, it performs sonic analysis on your audio files locally, allowing you to curate playlists for any mood or occasion without relying on external APIs. Deploy it easily on your local machine with Docker Compose or Podman, or scale it in a Kubernetes cluster (supports AMD64 and ARM64).
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Mice MX OS speech to text Voice Control
Mice speech to text with MX Cinnamon OS ISO
Note about this image This image contains a system based on Linux MX, which was created to improve accessibility within the Linux environment. The distribution uses the Cinnamon desktop interface, which is configured to be operated using voice commands and outputs. The user interface and the control of your own devices and home automation systems can be customized and extended. The voice control program MiceStTM.py was developed to enable easy adaptation to other languages. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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CodinIT.dev
Free, local, open-source AI app builder
...You can build unlimited apps with real-time previews, instant undo, and responsive, frictionless workflows. Deep Supabase integration means you can create UI and backend logic in one cohesive environment, while the model-agnostic architecture lets you connect to any AI, whether cloud-based (Gemini 3 Pro, GPT-5, Claude Sonnet 4.5) or local via Ollama, so you’re never locked in. All source code remains on your device and integrates seamlessly with your preferred IDE. A natural-language API enables powerful data queries and updates, automating tasks without leaving the chat interface. ... -
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EGO AGI
An inside-out cognitive engine based on autopoiesis and set theory
The Environment Generative Operator (EGO) is an AGI engine designed to create individuals capable of autonomous cognitive processes, based on the inside-out perspective of modern neuroscience. Their primary goal is survival – maintaining homeostatic equilibrium over time, which defines the system's operational framework. This approach aligns with autopoiesis, where a self-organizing system's cognitions consist of operations aimed at maintaining its own organization in response to environmental pressures. ... -
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TITTSE
Two Integrated Text To Speech Engines uses MMS & Silero
...After those first four lines, every paragraph is created as a single audio file. Install_TITTSE.sh is a Bash script that installs Python 3.1 and all needed dependencies in a virtual environment on your Linux system. All you need for installation is a Linux system and the TITTSE.zip file. Extract the zip then run Install_TITTSE.sh. That easy! Splash and Icon Artwork created by Bridgett Marlow and released under CC0 license. TITTSE by John Marlow and released under GNU GPL 3.0 or greater. GOD bless! -
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stkpp
C++ Statistical ToolKit
STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
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TN 365 OS – Admin Edition 2026
TechNews365 OS Admin Edition – Tous les outils réseaux inclus
... ✔ Base : Linux Mint 22.3 Cinnamon ✔ Environnement : Cinnamon optimisé TechNews365 ✔ Architecture : x86_64 ✔ Outils Admin préinstallés ✔ Système propre, stable et léger ✔ ISO optimisée (5.6 GB) Cette version n’inclut pas de modules IA. Une édition “Admin IA Edition” sera disponible séparément. Support FR /US/EN : 📩 contact@technews365.fr 🌐 https://technews365.fr/contact -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Proximus for Ryzen AI
Runtime extension of Proximus enabling Deployment on AMD Ryzen™ AI
This project extends the Proximus development environment to support deployment of AI workloads on next-generation AMD Ryzen™ AI processors, such as the Ryzen™ AI 7 PRO 7840U featured in the Lenovo ThinkPad T14s Gen 4 ,one of the first true AI PCs with an onboard Neural Processing Unit (NPU) capable of 16 TOPS (trillion operations per second). Originally designed for use with Windows 11 Pro, this runtime was further enhanced to work under Linux environments, allowing developers and researchers to fully utilize the AMD AI Engine across both platforms. ... -
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Codel
Fully autonomous AI Agent that can perform complicated tasks
Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor. -
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GPTLink
Build a free commercial AI dialogue environment in 10 minutes
GPTLink is an open-source platform designed to manage, proxy, and distribute access to large language model APIs, enabling organizations and developers to centralize AI usage and optimize resource allocation. It acts as an intermediary layer between users and multiple AI providers, allowing requests to be routed, balanced, and monitored through a unified interface. The system supports API key management, usage tracking, and rate limiting, making it particularly useful for teams that need to... -
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StyleTTS 2
Towards Human-Level Text-to-Speech through Style Diffusion
...StyleTTS2 supports both single-speaker and multi-speaker configurations, with the ability to sample or transfer styles from reference audio, making it powerful for expressive TTS and character voices. The repository includes training scripts, configuration files, and pre-trained auxiliary modules such as a text aligner, pitch extractor, and PL-BERT-based linguistic encoder. -
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EvoBot
EvoBot is a Discord Music Bot built with TypeScript + Discord.js
...After installation finishes follow the configuration instructions then run npm run start to start the bot. For those who would prefer to use our Docker container, you may provide values from config.json as environment variables. -
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OpenAI Quickstart Python
Python example app from the OpenAI API quickstart tutorial
...The examples folder includes small, self-contained projects showcasing common use cases like chat completions, tool usage, and interactive interfaces. Each example is designed to be easily runnable with minimal setup—requiring only Python, a virtual environment, and an API key. The repository also includes environment setup guides and example scripts, such as a simple Flask web app for chat interactions, allowing developers to test OpenAI API integrations locally. Overall, openai-quickstart-python serves as an essential starting point for developers looking to prototype and experiment with OpenAI-powered apps. -
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Automated Interpretability
Code for Language models can explain neurons in language models paper
The automated-interpretability repository implements tools and pipelines for automatically generating, simulating, and scoring explanations of neuron (or latent feature) behavior in neural networks. Instead of relying purely on manual, ad hoc interpretability probing, this repo aims to scale interpretability by using algorithmic methods that produce candidate explanations and assess their quality. It includes a “neuron explainer” component that, given a target neuron or latent feature,... -
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Arthur Bench
Bench is a tool for evaluating LLMs for production use cases
Bench is a tool for evaluating LLMs for production use cases. Whether you are comparing different LLMs, considering different prompts, or testing generation hyperparameters like temperature and # tokens, Bench provides one touch point for all your LLM performance evaluation. -
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TensorFlow Hub
A library for transfer learning by reusing parts of TensorFlow models
...The repository supports contributions from the community, allowing developers to submit models that become available for use by other machine learning practitioners. By enabling reusable model modules, TensorFlow Hub significantly reduces development time and computational cost when building machine learning systems. -
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Sonnet
TensorFlow-based neural network library
...Sonnet can be used to build neural networks for various purposes, including different types of learning. Sonnet’s programming model revolves around a single concept: modules. These modules can hold references to parameters, other modules and methods that apply some function on the user input. There are a number of predefined modules that already ship with Sonnet, making it quite powerful and yet simple at the same time. Users are also encouraged to build their own modules. Sonnet is designed to be extremely unopinionated about your use of modules. ... -
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Matrix ChatGPT Bot
Talk to ChatGPT via any Matrix client
...If you use this bot, your OpenAI account will be charged! You might want to limit your budget in your account using the OpenAI website. You need to remove the CHATGPT_MODEL variable from your environment, if you changed the value. Create a room, add the bot, andtart chatting. You need to have an account at openai. Please note that the usage of the ChatGPT-API is not free. -
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Deep Learning Models
A collection of various deep learning architectures, models, and tips
This repository collects clear, well-documented implementations of deep learning models and training utilities written by Sebastian Raschka. The code favors readability and pedagogy: components are organized so you can trace data flow through layers, losses, optimizers, and evaluation. Examples span fundamental architectures—MLPs, CNNs, RNN/Transformers—and practical tasks like image classification or text modeling. Reproducible training scripts and configuration files make it... -
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Ailice
AIlice is a fully autonomous, general-purpose AI agent
AIlice is an open-source autonomous AI agent framework built to function as a general-purpose assistant that can plan, decompose, and execute complex tasks through a structured multi-agent architecture. The project presents itself as a standalone assistant powered by open-source language models, with an internal design that treats user requests almost like executable programs rather than simple chat prompts. Its core IACT architecture allows the system to break large goals into smaller... -
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axflow
The TypeScript framework for AI development
...For example, the framework includes modules for connecting application data to language models, evaluating the quality of model outputs, and building streaming user interfaces. Because each component can be used independently, developers can adopt Axflow incrementally rather than committing to a monolithic framework. This flexibility makes the system suitable for both experimentation and production environments. -
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SSD in PyTorch 1.0
High quality, fast, modular reference implementation of SSD in PyTorch
...Multi-GPU training and inference: We use DistributedDataParallel, you can train or test with arbitrary GPU(s), the training schema will change accordingly. Add your own modules without pain. We abstract backbone, Detector, BoxHead, BoxPredictor, etc. You can replace every component with your own code without changing the code base. For example, You can add EfficientNet as the backbone, just add efficient_net.py (ALREADY ADDED) and register it, specific it in the config file, It's done! Smooth and enjoyable training procedure: we save the state of model, optimizer, scheduler, training iter, you can stop your training and resume training exactly from the save point without change your training CMD. -
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Knowledge + Chat
Knowledge is a tool for saving, searching, accessing, and chatting
...The application also includes a conversational chat interface that allows users to ask questions about stored sources and receive AI-generated explanations or summaries. A built-in Chromium-based browser enables users to capture and analyze web content directly within the application environment.
