Showing 1471 open source projects for "compiler python linux"

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  • 1
    uAgents

    uAgents

    A fast and lightweight framework for creating decentralized agents

    uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python. With simple and expressive decorators, you can have an agent that performs various tasks on a schedule or takes action on various events.
    Downloads: 6 This Week
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  • 2
    Jittor

    Jittor

    Jittor is a high-performance deep learning framework

    Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement...
    Downloads: 2 This Week
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  • 3
    fastai

    fastai

    Deep learning library

    ... of many deep learning and data processing techniques in terms of decoupled abstractions. These abstractions can be expressed concisely and clearly by leveraging the dynamism of the underlying Python language and the flexibility of the PyTorch library. fastai is organized around two main design goals: to be approachable and rapidly productive, while also being deeply hackable and configurable. It is built on top of a hierarchy of lower-level APIs which provide composable building blocks.
    Downloads: 6 This Week
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  • 4
    SKORCH

    SKORCH

    A scikit-learn compatible neural network library that wraps PyTorch

    A scikit-learn compatible neural network library that wraps PyTorch.
    Downloads: 5 This Week
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    c/ua

    c/ua

    c/ua is the Docker Container for Computer-Use AI Agents

    Cua is a Docker-based framework that facilitates the deployment and management of computer-use AI agents. It provides a sandboxed environment where agents can perform tasks on macOS and Linux virtual machines, supporting various AI models and ensuring safe execution. Cua is particularly useful for developers looking to test and run AI agents in controlled settings.
    Downloads: 6 This Week
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  • 6
    PyGPT

    PyGPT

    Open source personal AI Assistant for Linux, Windows and Mac

    PyGPT is a desktop application that allows you to talk to OpenAI's LLM models such as GPT4 and GPT3 using your own computer and OpenAI API. It allows you to talk in chat mode and in completion mode, as well as generate images using DALL-E 2. PyGPT also adds access to the Internet for GPT via Google Custom Search API and Wikipedia API and includes voice synthesis using Microsoft Azure Text-to-Speech API. Moreover, the application has implemented context memory support, context storage,...
    Downloads: 6 This Week
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  • 7
    OpenRLHF

    OpenRLHF

    An Easy-to-use, Scalable and High-performance RLHF Framework

    OpenRLHF is an easy-to-use, scalable, and high-performance framework for Reinforcement Learning with Human Feedback (RLHF). It supports various training techniques and model architectures.
    Downloads: 6 This Week
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  • 8
    Aider

    Aider

    aider is AI pair programming in your terminal

    Aider lets you pair programs with LLMs, to edit code in your local git repository. Start a new project or work with an existing Git repo. Aider works best with GPT-4o & Claude 3.5 Sonnet and can connect to almost any LLM.
    Downloads: 6 This Week
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  • 9
    mcp-use

    mcp-use

    A solution to build and deploy MCP agents and applications

    ... for each task using configurable pipelines or a built-in server manager. It simplifies authentication, access control, audit logging, observability, sandboxed runtime environments, and deployment workflows, whether self-hosted or managed, making MCP development production-ready. With integrations for popular frameworks like LangChain (Python) and LangChain.js (TypeScript), mcp-use accelerates the creation of tool-enabled AI agents.
    Downloads: 6 This Week
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  • 10
    DSPy

    DSPy

    DSPy: The framework for programming—not prompting—language models

    Developed by the Stanford NLP Group, DSPy (Declarative Self-improving Python) is a framework that enables developers to program language models through compositional Python code rather than relying solely on prompt engineering. It facilitates the construction of modular AI systems and provides algorithms for optimizing prompts and weights, enhancing the quality and reliability of language model outputs.
    Downloads: 5 This Week
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  • 11
    Keras

    Keras

    Python-based neural networks API

    Python Deep Learning library
    Downloads: 4 This Week
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  • 12
    imbalanced-learn

    imbalanced-learn

    A Python Package to Tackle the Curse of Imbalanced Datasets in ML

    Imbalanced-learn (imported as imblearn) is an open source, MIT-licensed library relying on scikit-learn (imported as sklearn) and provides tools when dealing with classification with imbalanced classes.
    Downloads: 5 This Week
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  • 13
    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: 5 This Week
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  • 14
    NErlNet

    NErlNet

    Nerlnet is a framework for research and development

    NErlNet is a research-grade framework for distributed machine learning over IoT and edge devices. Built with Erlang (Cowboy HTTP), OpenNN, and Python (Flask), it enables simulation of clusters on a single machine or real deployment across heterogeneous devices.
    Downloads: 5 This Week
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  • 15
    CrewAI

    CrewAI

    Framework for orchestrating role-playing, autonomous AI agents

    Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. The power of AI collaboration has too much to offer. CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI...
    Downloads: 6 This Week
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  • 16
    Arize Phoenix

    Arize Phoenix

    Uncover insights, surface problems, monitor, and fine tune your LLM

    Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative)...
    Downloads: 6 This Week
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  • 17
    NVIDIA FLARE

    NVIDIA FLARE

    NVIDIA Federated Learning Application Runtime Environment

    NVIDIA Federated Learning Application Runtime Environment NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflows(PyTorch, TensorFlow, Scikit-learn, XGBoost etc.) to a federated paradigm. It enables platform developers to build a secure, privacy-preserving offering for a distributed multi-party collaboration. NVIDIA FLARE is built on a componentized architecture that allows you to take federated...
    Downloads: 6 This Week
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  • 18
    MLflow

    MLflow

    Open source platform for the machine learning lifecycle

    MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud).
    Downloads: 6 This Week
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  • 19
    Llama Stack

    Llama Stack

    Composable building blocks to build Llama Apps

    Llama-Stack is an open-source framework designed to facilitate the deployment and fine-tuning of large language models (LLMs) for various natural language processing tasks.
    Downloads: 5 This Week
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  • 20
    Data-Juicer

    Data-Juicer

    Data processing for and with foundation models

    Data-Juicer is an open-source data processing and augmentation framework designed to enhance the quality and diversity of datasets for machine learning tasks. It includes a modular pipeline for scalable data transformation.
    Downloads: 5 This Week
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  • 21
    GraphRAG

    GraphRAG

    A modular graph-based Retrieval-Augmented Generation (RAG) system

    The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.
    Downloads: 5 This Week
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  • 22
    PyBroker

    PyBroker

    Algorithmic Trading in Python with Machine Learning

    Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance.
    Downloads: 5 This Week
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  • 23
    MusicLM - Pytorch

    MusicLM - Pytorch

    Implementation of MusicLM music generation model in Pytorch

    Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch. They are basically using text-conditioned AudioLM, but surprisingly with the embeddings from a text-audio contrastive learned model named MuLan. MuLan is what will be built out in this repository, with AudioLM modified from the other repository to support the music generation needs here.
    Downloads: 5 This Week
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  • 24
    Agent Development Kit (ADK)

    Agent Development Kit (ADK)

    Open-source, code-first Python toolkit for building, evaluating, etc.

    ADK (Android Device Key) Python is a reference implementation by Google for working with Android attestation keys in Python. It facilitates the integration of Android attestation features into backends or systems that require verification of device identity and integrity. This is especially important in high-security applications where verifying that a device is genuine and uncompromised is critical. ADK Python helps developers verify hardware-backed keys, work with JSON Web Tokens (JWT...
    Downloads: 4 This Week
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  • 25
    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: 5 This Week
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