Showing 6393 open source projects for "artificial intelligence algorithm"

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  • 1
    ContextGem

    ContextGem

    ContextGem: Effortless LLM extraction from documents

    ContextGem is an open-source framework designed to simplify the extraction of structured data and insights from documents using large language models (LLMs). It provides a flexible, intuitive API that minimizes boilerplate code, enabling developers to build complex extraction workflows efficiently. ContextGem supports various document formats and integrates with multiple LLM providers, making it a versatile tool for tasks like contract analysis, anomaly detection, and information retrieval.​
    Downloads: 6 This Week
    Last Update:
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  • 2
    Nexa SDK

    Nexa SDK

    Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML

    Nexa SDK is a comprehensive toolkit for supporting ONNX and GGML models. It supports text generation, image generation, vision-language models (VLM), and speech-to-text (ASR), and text-to-speech (TTS) capabilities. Additionally, it offers an OpenAI-compatible API server with JSON schema mode for function calling and streaming support, and a user-friendly Streamlit UI. Users can run Nexa SDK in any device with Python environment, and GPU acceleration is supported, including CUDA, Metal, and...
    Downloads: 6 This Week
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  • 3
    Kalavai

    Kalavai

    Turn everyday devices into your own AI cluster

    Kalavai is a self-hosted platform that turns everyday devices into your very own AI cluster. Do you have an old desktop or a gaming laptop gathering dust? Aggregate resources from multiple machines and say goodbye to CUDA out-of-memory errors. Deploy your favorite open-source LLM, fine-tune it with your own data, or simply run your distributed work, zero-DevOps. Simple. Private. Yours.
    Downloads: 6 This Week
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  • 4
    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 a...
    Downloads: 6 This Week
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  • 5
    Chat2DB

    Chat2DB

    AI-driven database tool and SQL client

    Save time by working with data. Connect to all your data sources, and instantly generate optimal SQL for fast lightning information. If you don't know SQL well, you can get instant information without writing SQL. Generate high-performance SQL for your complicated queries using natural language, as well as correcting errors and getting AI suggestions to optimize the performance of SQL queries. Developers can write complex SQL queries quickly and accurately with the help of the AI SQL editor,...
    Downloads: 7 This Week
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  • 6
    Tabby

    Tabby

    Self-hosted AI coding assistant

    Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot.
    Downloads: 3 This Week
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  • 7
    TorchMetrics AI

    TorchMetrics AI

    Machine learning metrics for distributed, scalable PyTorch application

    TorchMetrics is a collection of 100+ PyTorch metrics implementations and an easy-to-use API to create custom metrics.
    Downloads: 3 This Week
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  • 8
    Flux.jl

    Flux.jl

    Relax! Flux is the ML library that doesn't make you tensor

    Flux is an elegant approach to machine learning. It's a 100% pure Julia stack and provides lightweight abstractions on top of Julia's native GPU and AD support. Flux makes the easy things easy while remaining fully hackable. Flux provides a single, intuitive way to define models, just like mathematical notation. Julia transparently compiles your code, optimizing and fusing kernels for the GPU, for the best performance. Existing Julia libraries are differentiable and can be incorporated...
    Downloads: 6 This Week
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  • 9
    Super Easy AI Installer Tool

    Super Easy AI Installer Tool

    Application that simplifies the installation of AI-related projects

    "Super Easy AI Installer Tool" is a user-friendly application that simplifies the installation process of AI-related repositories for users. The tool is designed to provide an easy-to-use solution for accessing and installing AI repositories with minimal technical hassle to none the tool will automatically handle the installation process, making it easier for users to access and use AI tools. "Super Easy AI Installer Tool" is currently in early development phase and may have a few bugs. But...
    Downloads: 6 This Week
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  • 10
    PennyLane

    PennyLane

    A cross-platform Python library for differentiable programming

    A cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy,...
    Downloads: 6 This Week
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  • 11
    DeepLabCut

    DeepLabCut

    Implementation of DeepLabCut

    DeepLabCut™ is an efficient method for 2D and 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 frames). We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors. The package is open source, fast, robust, and can be used to compute 3D pose estimates or for...
    Downloads: 6 This Week
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  • 12
    AWS Toolkit for Visual Studio Code

    AWS Toolkit for Visual Studio Code

    Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.

    The AWS Toolkit extension for Visual Studio Code enables you to interact with Amazon Web Services (AWS). Try the AWS Code Sample Catalog to start coding with the AWS SDK. The AWS Explorer provides access to the AWS services that you can work with when using the Toolkit. To see the AWS Explorer, choose the AWS icon in the Activity bar. The Developer Tools panel is a section for developer-focused tooling curated for working in an IDE. The Developer Tools panel can be found underneath the AWS...
    Downloads: 6 This Week
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  • 13
    LlamaIndex

    LlamaIndex

    Central interface to connect your LLM's with external data

    LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. LlamaIndex is a simple, flexible interface between your external data and LLMs. It provides the following tools in an easy-to-use fashion.
    Downloads: 4 This Week
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  • 14
    Recommenders

    Recommenders

    Best practices on recommendation systems

    The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several...
    Downloads: 2 This Week
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  • 15
    Metaflow

    Metaflow

    A framework for real-life data science

    Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.
    Downloads: 4 This Week
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  • 16
    Python Crypto Bot

    Python Crypto Bot

    Python Crypto Bot (PyCryptoBot)

    Python Crypto Bot (PyCryptoBot).
    Downloads: 3 This Week
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  • 17
    Turing.jl

    Turing.jl

    Bayesian inference with probabilistic programming

    Bayesian inference with probabilistic programming.
    Downloads: 3 This Week
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  • 18
    Ludwig

    Ludwig

    A codeless platform to train and test deep learning models

    Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest. Simple commands can be used to train models both locally and in a distributed way, and to use them to predict on new data.
    Downloads: 3 This Week
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  • 19
    OpenAI Agents SDK

    OpenAI Agents SDK

    A lightweight, powerful framework for multi-agent workflows

    The OpenAI Agents Python SDK is a powerful yet lightweight framework for developing multi-agent workflows. This framework enables developers to create and manage agents that can coordinate tasks autonomously, using a set of instructions, tools, guardrails, and handoffs. The SDK allows users to configure workflows in which agents can pass control to other agents as necessary, ensuring dynamic task management. It also includes a built-in tracing system for tracking, debugging, and optimizing...
    Downloads: 4 This Week
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  • 20
    Ax

    Ax

    Build LLM powered Agents and "Agentic workflows"

    Build intelligent agents quickly — inspired by the power of "Agentic workflows" and the Stanford DSPy paper. Seamlessly integrates with multiple LLMs and VectorDBs to build RAG pipelines or collaborative agents that can solve complex problems. Advanced features streaming validation, multi-modal DSPy, etc. We've renamed from "llmclient" to "ax" to highlight our focus on powering agentic workflows. We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the...
    Downloads: 4 This Week
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  • 21
    openTSNE

    openTSNE

    Extensible, parallel implementations of t-SNE

    openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction algorithm for visualizing high-dimensional data sets. openTSNE incorporates the latest improvements to the t-SNE algorithm, including the ability to add new data points to existing embeddings [2], massive speed improvements [3] [4] [5], enabling t-SNE to scale to millions of data points, and various tricks to improve the global alignment of the resulting...
    Downloads: 0 This Week
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  • 22
    FSRS4Anki

    FSRS4Anki

    A modern Anki custom scheduling based on Free Spaced Repetition

    A modern spaced-repetition scheduler for Anki based on the Free Spaced Repetition Scheduler algorithm.
    Downloads: 0 This Week
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  • 23
    Nanobrowser

    Nanobrowser

    Open-Source Chrome extension for AI-powered web automation

    Nanobrowser is an open-source AI web automation tool that runs in your browser. A free alternative to OpenAI Operator with flexible LLM options and a multi-agent system. Nanobrowser, as a chrome extension, delivers premium web automation capabilities while keeping you in complete control. No subscription fees or hidden costs. Just install and use your own API keys, and you only pay what you use with your own API keys. Everything runs in your local browser. Your credentials stay with you,...
    Downloads: 5 This Week
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  • 24
    Firebot

    Firebot

    A powerful all-in-one bot for Twitch streamers

    An all-in-one desktop bot for Twitch featuring support for Chat Commands, Events, Timers, Currencies, Third Party Integrations, and so much more. Visit Firebot's website for more info. Why choose function over form when you can have both! Utilizing modern technologies, Firebot has been built from the ground up with usability in mind. The result is a UI that is equal parts intuitive and beautiful. At the core of Firebot is a simple, yet powerful Effect system that allows you to program the...
    Downloads: 5 This Week
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  • 25
    Deep Lake

    Deep Lake

    Data Lake for Deep Learning. Build, manage, and query datasets

    Deep Lake (formerly known as Activeloop Hub) is a data lake for deep learning applications. Our open-source dataset format is optimized for rapid streaming and querying of data while training models at scale, and it includes a simple API for creating, storing, and collaborating on AI datasets of any size. It can be deployed locally or in the cloud, and it enables you to store all of your data in one place, ranging from simple annotations to large videos. Deep Lake is used by Google, Waymo,...
    Downloads: 5 This Week
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