Showing 6006 open source projects for "java open source"

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  • 1
    TwitchIO

    TwitchIO

    An Async Bot/API wrapper for Twitch made in Python

    A fully asynchronous Python IRC, API, EventSub and PubSub library for Twitch. Full asynchronous design. Covers 100% of the Twitch API. IRC Commands extension for creating powerful chatbots. EventSub and PubSub support. Helper extensions for Music/Sounds and Background Tasks. Object-orientated design with stateful objects. TwitchIO is an asynchronous Python wrapper around the Twitch API and IRC, with a powerful command extension for creating Twitch Chat Bots. TwitchIO covers almost all of the...
    Downloads: 1 This Week
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  • 2
    GPTel

    GPTel

    A no-frills ChatGPT client for Emacs

    GPTel is a simple, no-frills ChatGPT client for Emacs. No external dependencies, only Emacs. Also, it’s async. Interact with ChatGPT from any buffer in Emacs. ChatGPT’s responses are in Markdown or Org markup (configurable). Supports conversations (not just one-off queries) and multiple independent sessions. You can go back and edit your previous prompts, or even ChatGPT’s previous responses when continuing a conversation. These will be fed back to ChatGPT. Run M-x gptel to start or switch...
    Downloads: 2 This Week
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  • 3
    Video Diffusion - Pytorch

    Video Diffusion - Pytorch

    Implementation of Video Diffusion Models

    Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch. Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch. It uses a special space-time factored U-net, extending generation from 2D images to 3D videos. 14k for difficult moving mnist (converging much faster and better than NUWA) - wip. Any new developments for text-to-video synthesis will be centralized at...
    Downloads: 2 This Week
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  • 4
    Pandas Profiling

    Pandas Profiling

    Create HTML profiling reports from pandas DataFrame objects

    pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase,...
    Downloads: 2 This Week
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  • 5
    lightning AI

    lightning AI

    The most intuitive, flexible, way for researchers to build models

    Build in days not months with the most intuitive, flexible framework for building models and Lightning Apps (ie: ML workflow templates) which "glue" together your favorite ML lifecycle tools. Build models and build/publish end-to-end ML workflows that "glue" your favorite tools together. Models are “easy”, the “glue” work is hard. Lightning Apps are community-built templates that stitch together your favorite ML lifecycle tools into cohesive ML workflows that can run on your laptop or any...
    Downloads: 2 This Week
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  • 6
    Node.js Telegram Bot API

    Node.js Telegram Bot API

    Telegram Bot API for NodeJS

    TelegramBot is an EventEmitter that emits several events. Message, received a new incoming Message of any kind. Depending on the properties of the Message, one of these events may ALSO be emitted, text, audio, document, photo, sticker, video, voice, contact, location, new_chat_members, left_chat_member, new_chat_title, new_chat_photo, delete_chat_photo, group_chat_created, game, pinned_message, poll, dice, migrate_from_chat_id, migrate_to_chat_id, channel_chat_created,...
    Downloads: 2 This Week
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  • 7
    HunyuanVideo

    HunyuanVideo

    HunyuanVideo: A Systematic Framework For Large Video Generation Model

    HunyuanVideo is a cutting-edge framework designed for large-scale video generation, leveraging advanced AI techniques to synthesize videos from various inputs. It is implemented in PyTorch, providing pre-trained model weights and inference code for efficient deployment. The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU...
    Downloads: 5 This Week
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  • 8
    Generative AI

    Generative AI

    Sample code and notebooks for Generative AI on Google Cloud

    Generative AI is a comprehensive collection of code samples, notebooks, and demo applications designed to help developers build generative-AI workflows on the Vertex AI platform. It spans multiple modalities—text, image, audio, search (RAG/grounding) and more—showing how to integrate foundation models like the Gemini family into cloud projects. The README emphasises getting started with prompts, datasets, environments and sample apps, making it ideal for both experimentation and...
    Downloads: 1 This Week
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  • 9
    Kaldi

    Kaldi

    kaldi-asr/kaldi is the official location of the Kaldi project

    Kaldi is an open source toolkit for speech recognition research. It provides a powerful framework for building state-of-the-art automatic speech recognition (ASR) systems, with support for deep neural networks, Gaussian mixture models, hidden Markov models, and other advanced techniques. The toolkit is widely used in both academia and industry due to its flexibility, extensibility, and strong community support.
    Downloads: 1 This Week
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    Easy-to-Use Website Accessibility Widget

    An accessibility solution for quick website accessibility improvement.

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  • 10
    PyGAD

    PyGAD

    Source code of PyGAD, Python 3 library for building genetic algorithms

    PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch. PyGAD supports optimizing both single-objective and multi-objective problems. PyGAD supports different types of crossover, mutation, and parent selection. PyGAD allows different types of problems to be optimized using the genetic algorithm by customizing the fitness function.
    Downloads: 0 This Week
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  • 11
    PyCaret

    PyCaret

    An open-source, low-code machine learning library in Python

    PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the experiment cycle exponentially and makes you more productive. In comparison with the other open-source machine learning libraries, PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only.
    Downloads: 0 This Week
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  • 12
    Xorbits Inference

    Xorbits Inference

    Replace OpenAI GPT with another LLM in your app

    Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop. Xorbits Inference(Xinference) is a powerful and versatile library designed to serve language, speech recognition, and multimodal models. With Xorbits Inference, you can effortlessly deploy and serve your or state-of-the-art built-in models using just a single command. ...
    Downloads: 1 This Week
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  • 13
    OpenDAN

    OpenDAN

    OpenDAN is an open source Personal AI OS

    OpenDAN is an open-source Personal AI OS , that consolidates various AI modules in one place for your personal use. The goal of OpenDAN (Open and Do Anything Now with AI) is to create a Personal AI OS , which provides a runtime environment for various Al modules as well as protocols for interoperability between them. With OpenDAN, users can securely collaborate with various AI modules using their private data to create powerful personal AI agents, such as butlers, lawyers, doctors, teachers, assistants, girl or boyfriends.
    Downloads: 0 This Week
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  • 14
    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 learning workloads from research and simulation to real-world production deployment.
    Downloads: 1 This Week
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  • 15
    ChatDev

    ChatDev

    Create Customized Software using Natural Language Idea

    ChatDev is an AI-powered development tool designed to simulate the software development lifecycle using multi-agent collaboration. It allows multiple AI agents to take on roles such as product managers, developers, and testers to collaboratively generate, refine, and evaluate software code. This project explores how AI can be leveraged to automate and optimize development workflows.
    Downloads: 1 This Week
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  • 16
    MindNLP

    MindNLP

    Easy-to-use and high-performance NLP and LLM framework

    MindNLP is a natural language processing library built on the MindSpore framework, providing tools and models for various NLP tasks.
    Downloads: 0 This Week
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  • 17
    ExtractThinker

    ExtractThinker

    ExtractThinker is a Document Intelligence library for LLMs

    ExtractThinker is a tool designed to facilitate the extraction and analysis of information from various data sources, aiding in data processing and knowledge discovery.
    Downloads: 0 This Week
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  • 18
    Superlinked

    Superlinked

    Superlinked is a Python framework for AI Engineers

    Superlinked is a Python framework designed for AI engineers to build high-performance search and recommendation applications that combine structured and unstructured data.
    Downloads: 0 This Week
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  • 19
    DataDreamer

    DataDreamer

    DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models

    DataDreamer is a tool designed to assist in the generation and manipulation of synthetic data for various applications, including testing and machine learning.
    Downloads: 0 This Week
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  • 20
    LightAutoML

    LightAutoML

    Fast and customizable framework for automatic ML model creation

    LightAutoML is an automated machine learning (AutoML) framework optimized for efficient model training and hyperparameter tuning, focusing on both tabular and text data.
    Downloads: 0 This Week
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  • 21
    Search-Index

    Search-Index

    A persistent, network resilient, full text search library

    Search-Index is a lightweight and fast JavaScript-based search engine that enables full-text search indexing and retrieval for web applications.
    Downloads: 0 This Week
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  • 22
    Underthesea

    Underthesea

    Underthesea - Vietnamese NLP Toolkit

    Underthesea is a Vietnamese NLP toolkit providing various text processing capabilities, including word segmentation, part-of-speech tagging, and named entity recognition.
    Downloads: 0 This Week
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  • 23
    Tabby

    Tabby

    Self-hosted AI coding assistant

    Tabby is an open-source, self-hosted AI coding assistant that provides code completion and suggestions within your preferred development environment. It enhances developer productivity by leveraging machine learning models to predict and generate code snippets.
    Downloads: 0 This Week
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  • 24
    TensorLy

    TensorLy

    Tensor Learning in Python

    TensorLy is a Python library that aims at making tensor learning simple and accessible. It allows to easily perform tensor decomposition, tensor learning and tensor algebra. Its backend system allows to seamlessly perform computation with NumPy, PyTorch, JAX, TensorFlow, CuPy or Paddle, and run methods at scale on CPU or GPU.
    Downloads: 0 This Week
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  • 25
    Physical Symbolic Optimization (Φ-SO)

    Physical Symbolic Optimization (Φ-SO)

    Physical Symbolic Optimization

    Physical Symbolic Optimization (Φ-SO) - A symbolic optimization package built for physics. Symbolic regression module uses deep reinforcement learning to infer analytical physical laws that fit data points, searching in the space of functional forms.
    Downloads: 1 This Week
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