Showing 853 open source projects for "python user interface"

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  • 1
    YData Synthetic

    YData Synthetic

    Synthetic data generators for tabular and time-series data

    .... It consists a set of different GANs architectures developed using Tensorflow 2.0. Several example Jupyter Notebooks and Python scripts are included, to show how to use the different architectures. YData synthetic has now a UI interface to guide you through the steps and inputs to generate structure tabular data. The streamlit app is available form v1.0.0 onwards.
    Downloads: 1 This Week
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  • 2
    Klavis AI

    Klavis AI

    Open Source MCP integration for AI applications

    Klavis AI is an open-source platform that simplifies the integration of Model Context Protocols (MCPs) into AI applications. It provides hosted, secure MCP servers with built-in OAuth support, eliminating the need for complex authentication management and client-side code. Klavis AI enables developers to connect AI agents to various tools and services efficiently, facilitating scalable and secure AI deployments.
    Downloads: 1 This Week
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  • 3
    AutoGPTQ

    AutoGPTQ

    An easy-to-use LLMs quantization package with user-friendly apis

    AutoGPTQ is an implementation of GPTQ (Quantized GPT) that optimizes large language models (LLMs) for faster inference by reducing their computational footprint while maintaining accuracy.
    Downloads: 1 This Week
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  • 4
    Thinc

    Thinc

    A refreshing functional take on deep learning

    Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models. Previous versions of Thinc have been running quietly in production in thousands of companies, via both spaCy and Prodigy. We wrote the new version to let users compose...
    Downloads: 1 This Week
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  • 5
    ChatterBot

    ChatterBot

    Machine learning, conversational dialog engine for creating chat bots

    ChatterBot is a Python library that makes it easy to generate automated responses to a user’s input. ChatterBot uses a selection of machine learning algorithms to produce different types of responses. This makes it easy for developers to create chat bots and automate conversations with users. For more details about the ideas and concepts behind ChatterBot see the process flow diagram. The language independent design of ChatterBot allows it to be trained to speak any language. Additionally...
    Downloads: 1 This Week
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  • 6
    RA.Aid

    RA.Aid

    Develop software autonomously

    RA.Aid is an AI-powered assistant designed to enhance the efficiency of software development workflows. It integrates seamlessly with various development environments, providing intelligent code suggestions, automated documentation generation, and real-time error detection. By leveraging advanced machine learning models, RA.Aid aims to reduce development time and improve code quality.​
    Downloads: 1 This Week
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  • 7
    Firebase MCP

    Firebase MCP

    Model Context Protocol (MCP) server to interact with Firebase service

    A Model Context Protocol (MCP) server that enables Large Language Model (LLM) clients to interact seamlessly with Firebase services, facilitating operations across Authentication, Firestore, and Storage. ​
    Downloads: 1 This Week
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  • 8
    Omnara

    Omnara

    Talk to Your AI Agents from Anywhere

    Omnara is an open-source agent control platform that empowers developers to turn autonomous AI tools (e.g., Claude Code, Cursor, GitHub Copilot) into collaborative teammates by offering real-time dashboards, push notifications, and remote guidance across terminals, web, and mobile. Omnara transforms your AI agents (Claude Code, Codex CLI, n8n, and more) from silent workers into communicative teammates. Get real-time visibility into what your agents are doing, and respond to their questions...
    Downloads: 1 This Week
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  • 9
    Nixtla Neural Forecast

    Nixtla Neural Forecast

    Scalable and user friendly neural forecasting algorithms.

    NeuralForecast offers a large collection of neural forecasting models focusing on their performance, usability, and robustness. The models range from classic networks like RNNs to the latest transformers: MLP, LSTM, GRU, RNN, TCN, TimesNet, BiTCN, DeepAR, NBEATS, NBEATSx, NHITS, TiDE, DeepNPTS, TSMixer, TSMixerx, MLPMultivariate, DLinear, NLinear, TFT, Informer, AutoFormer, FedFormer, PatchTST, iTransformer, StemGNN, and TimeLLM. There is a shared belief in Neural forecasting methods'...
    Downloads: 1 This Week
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  • 10
    Skyvern

    Skyvern

    Automate browser-based workflows with LLMs and Computer Vision

    ..., with support for country, state, or even precise zip-code level targeting. Skyvern understands how to solve CAPTCHAs to complete complicated workflows. Support for authenticating into user accounts, including support for 2FA/TOTP. Extract data from workflows in any schema of your choice including CSV or JSON. Automate procurement pipelines, breeze through government forms, and complete workflows in any language.
    Downloads: 1 This Week
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  • 11
    Nerfstudio

    Nerfstudio

    A collaboration friendly studio for NeRFs

    Nerfstudio provides a simple API that allows for a simplified end-to-end process of creating, training, and testing NeRFs. The library supports a more interpretable implementation of NeRFs by modularizing each component. With more modular NeRFs, we hope to create a more user-friendly experience in exploring the technology. This is a contributor-friendly repo with the goal of building a community where users can more easily build upon each other’s contributions. Nerfstudio initially launched...
    Downloads: 1 This Week
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  • 12
    CTGAN

    CTGAN

    Conditional GAN for generating synthetic tabular data

    CTGAN is a collection of Deep Learning based synthetic data generators for single table data, which are able to learn from real data and generate synthetic data with high fidelity. If you're just getting started with synthetic data, we recommend installing the SDV library which provides user-friendly APIs for accessing CTGAN. The SDV library provides wrappers for preprocessing your data as well as additional usability features like constraints. When using the CTGAN library directly, you may...
    Downloads: 1 This Week
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  • 13
    MONAI

    MONAI

    AI Toolkit for Healthcare Imaging

    ... annotated datasets, and build AI models in a standardized MONAI paradigm. MONAI is an open-source project. It is built on top of PyTorch and is released under the Apache 2.0 license. Aiming to capture best practices of AI development for healthcare researchers, with an immediate focus on medical imaging. Providing user-comprehensible error messages and easy to program API interfaces. Provides reproducibility of research experiments for comparisons against state-of-the-art implementations.
    Downloads: 1 This Week
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  • 14
    Datasets

    Datasets

    Hub of ready-to-use datasets for ML models

    ... with the Hugging Face Hub, allowing you to easily load and share a dataset with the wider NLP community. There are currently over 2658 datasets, and more than 34 metrics available. Datasets naturally frees the user from RAM memory limitation, all datasets are memory-mapped using an efficient zero-serialization cost backend (Apache Arrow). Smart caching: never wait for your data to process several times.
    Downloads: 1 This Week
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  • 15
    AWS Deep Learning Containers

    AWS Deep Learning Containers

    A set of Docker images for training and serving models in TensorFlow

    ..., transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. This project is licensed under the Apache-2.0 License. Ensure you have access to an AWS account i.e. setup your environment such that awscli can access your account via either an IAM user or an IAM role.
    Downloads: 1 This Week
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  • 16
    AI-Flow

    AI-Flow

    UI application to connect multiple AI models together

    Open-source tool to seamlessly connect multiple AI models in repeatable flow. While a live demo is available for convenience, for the best experience we recommend running the application directly on your local machine. AI Flow is an open source, user-friendly UI application that empowers you to seamlessly connect multiple AI models together, specifically leveraging the capabilities of ChatGPT. This unique tool paves the way to creating interactive networks of different AI models, fostering...
    Downloads: 1 This Week
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  • 17
    TruLens

    TruLens

    Evaluation and Tracking for LLM Experiments

    TruLens is an open-source Python library designed to systematically evaluate and track Large Language Model (LLM) applications. It provides fine-grained instrumentation, feedback functions, and a user interface to compare and iterate on app versions, facilitating rapid development and improvement of LLM-based applications. Programmatic tools that assess the quality of inputs, outputs, and intermediate results from LLM applications, enabling scalable evaluation. Fine-grained, stack-agnostic...
    Downloads: 0 This Week
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  • 18
    OpenCode

    OpenCode

    A powerful AI coding agent. Built for the terminal.

    OpenCode is a terminal-based AI coding assistant designed to bring powerful AI models directly into your development workflow. Built in Go, it offers a smooth TUI (Terminal User Interface) experience powered by Bubble Tea, enabling seamless interaction without leaving the command line. It supports multiple AI providers, including OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Groq, Azure OpenAI, and GitHub Copilot. Developers can use it for intelligent code completion, debugging, file...
    Downloads: 1 This Week
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  • 19
    Opik

    Opik

    Open-source end-to-end LLM Development Platform

    Confidently evaluate, test, and monitor LLM applications. Opik is an open-source platform for evaluating, testing, and monitoring LLM applications. Built by Comet. Record, sort, search, and understand each step your LLM app takes to generate a response. Manually annotate, view, and compare LLM responses in a user-friendly table. Log traces during development and in production. Run experiments with different prompts and evaluate against a test set. Choose and run pre-configured evaluation...
    Downloads: 1 This Week
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  • 20
    Semantic Kernel

    Semantic Kernel

    Integrate cutting-edge LLM technology quickly and easily into your app

    Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C# and Python. By doing so, you can create AI apps that combine the best of both worlds. To help developers build their own Copilot experiences on top of AI plugins, we have released Semantic Kernel, a lightweight open-source SDK that allows you to orchestrate AI plugins. With Semantic Kernel, you can leverage the same AI...
    Downloads: 1 This Week
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  • 21
    Memary

    Memary

    The Open Source Memory Layer For Autonomous Agents

    Memary is a journaling and personal memory management application that helps users record and retrieve past experiences. It focuses on simplicity, ease of use, and structured data storage for personal reflections and knowledge tracking.
    Downloads: 0 This Week
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  • 22
    Magentic UI

    Magentic UI

    A research prototype of a human-centered web agent

    Magentic-UI is a research prototype developed by Microsoft that serves as a human-centered interface powered by a multi-agent system. It enables users to automate complex web tasks, such as browsing, form filling, and data analysis, while maintaining control over the process. The system emphasizes transparency and user involvement, making it suitable for tasks requiring both automation and human oversight.
    Downloads: 0 This Week
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  • 23
    npcpy

    npcpy

    The AI toolkit for the AI developer

    npcpy is a Python-based agent framework and command-line toolkit (the NPC Shell) for developers to build, test, and integrate AI agents into their workflows, including both command-line and GUI interfaces via NPC Studio. Welcome to npcpy, the core library of the NPC Toolkit that supercharges natural language processing pipelines and agent tooling. npcpy is a flexible framework for building state-of-the-art applications and conducting novel research with LLMs. The structure of npcpy also allows...
    Downloads: 0 This Week
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  • 24
    Kaleidoscope-SDK

    Kaleidoscope-SDK

    User toolkit for analyzing and interfacing with Large Language Models

    kaleidoscope-sdk is a Python module used to interact with large language models hosted via the Kaleidoscope service available at: https://github.com/VectorInstitute/kaleidoscope. It provides a simple interface to launch LLMs on an HPC cluster, asking them to perform basic features like text generation, but also retrieve intermediate information from inside the model, such as log probabilities and activations. Users must authenticate using their Vector Institute cluster credentials. This can...
    Downloads: 0 This Week
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  • 25
    Mirascope

    Mirascope

    LLM abstractions that aren't obstructions

    Mirascope is a powerful, flexible, and user-friendly library that simplifies the process of working with LLMs through a unified interface that works across various supported providers, including OpenAI, Anthropic, Mistral, Gemini, Groq, Cohere, LiteLLM, Azure AI, Vertex AI, and Bedrock. Whether you're generating text, extracting structured information, or developing complex AI-driven agent systems, Mirascope provides the tools you need to streamline your development process and create powerful...
    Downloads: 0 This Week
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