Showing 2019 open source projects for "language"

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  • 1
    MemPalace

    MemPalace

    The highest-scoring AI memory system ever benchmarked

    MemPalace is an open-source AI memory system designed to solve one of the most persistent limitations of large language models: the loss of context between sessions. Instead of relying on summarization or selective extraction like most memory tools, it takes a radically different approach by storing conversations in their entirety and making them retrievable through structured organization and semantic search. The system is inspired by the classical “memory palace” mnemonic technique, organizing information into hierarchical spaces such as wings, rooms, and halls, which allows AI agents to navigate past knowledge in a more contextual and intuitive way. ...
    Downloads: 2 This Week
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  • 2
    FireRedTTS-2

    FireRedTTS-2

    Long-form streaming TTS system for multi-speaker dialogue generation

    ...It features a specialized streaming speech tokenizer and a dual-transformer architecture that enables low latency and high-quality synthesis, making it suitable for interactive systems like chatbots, podcasts, and applications where dynamic turn-taking between speakers is essential. FireRedTTS2 supports multilingual output and speaker flexibility, enabling scenarios that involve language switching, cross-lingual voice cloning, and expressive dialogue generation that maintains consistency over longer utterances.
    Downloads: 2 This Week
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  • 3
    rCore-Tutorial-Book-v3

    rCore-Tutorial-Book-v3

    A book about how to write OS kernels in Rust easily

    rCore-Tutorial-Book-v3 is the official book for the third version of the rCore OS tutorial series, a comprehensive educational resource for learning operating system development using the Rust programming language. Targeted at the RISC-V architecture, this tutorial guides learners step-by-step through building a minimal, safe, and modern OS kernel from scratch. It is written in Markdown and powered by mdBook, making it easy to read, navigate, and contribute to. The book combines theoretical explanations with practical exercises, allowing students and enthusiasts to understand core OS concepts like bootstrapping, memory management, and process scheduling through hands-on implementation.
    Downloads: 2 This Week
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  • 4
    ADX MCP Server

    ADX MCP Server

    A Model Context Protocol (MCP) server that enables AI assistants

    The Azure Data Explorer MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces. It allows the execution of Kusto Query Language (KQL) queries and exploration of data within Azure Data Explorer clusters. ​
    Downloads: 0 This Week
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  • 5
    TapeAgents

    TapeAgents

    A framework that facilitates all stages of LLM development

    TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents.
    Downloads: 0 This Week
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  • 6
    CloudEvents

    CloudEvents

    CloudEvents Specification

    Events are everywhere. However, event producers tend to describe events differently. The lack of a common way of describing events means developers must constantly re-learn how to consume events. This also limits the potential for libraries, tooling and infrastructure to aide the delivery of event data across environments, like SDKs, event routers or tracing systems. The portability and productivity we can achieve from event data is hindered overall. CloudEvents is a specification for...
    Downloads: 0 This Week
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  • 7
    Backtrack Sampler

    Backtrack Sampler

    An easy-to-understand framework for LLM samplers

    Backtrack Sampler is a framework designed for experimenting with custom sampling strategies for language models (LLMs), enabling the ability to rewind and revise generated tokens. It allows developers to create and test their own token generation strategies by providing a base structure for manipulating logits and probabilities, making it a flexible tool for those interested in fine-tuning the behavior of LLMs.
    Downloads: 0 This Week
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  • 8
    gensim

    gensim

    Topic Modelling for Humans

    Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community.
    Downloads: 0 This Week
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  • 9
    Xianyu Intelligent Monitor Bot

    Xianyu Intelligent Monitor Bot

    AI tool for real-time monitoring and analysis of Goofish listings

    ai-goofish-monitor is an open source automation tool designed to monitor listings on the Goofish second-hand marketplace and analyze them using artificial intelligence. It combines browser automation with AI-based analysis to automatically search, collect, and evaluate newly posted items that match a user’s purchase criteria. It uses Playwright to simulate real user interactions with the marketplace, allowing the system to retrieve product data and track updates in near real time....
    Downloads: 2 This Week
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  • 10
    Qwen-Image-Layered

    Qwen-Image-Layered

    Qwen-Image-Layered: Layered Decomposition for Inherent Editablity

    Qwen-Image-Layered is an extension of the Qwen series of multimodal models that introduces layered image understanding, enabling the model to reason about hierarchical visual structures — such as separating foreground, background, objects, and contextual layers within an image. This architecture allows richer semantic interpretation, enabling use cases such as scene decomposition, object-level editing, layered captioning, and more fine-grained multimodal reasoning than with flat image...
    Downloads: 2 This Week
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  • 11
    Kaldi

    Kaldi

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

    ...Kaldi is designed for researchers who need a highly customizable environment to experiment with new algorithms, as well as for practitioners who want robust, production-ready ASR pipelines. It includes extensive tools for data preparation, feature extraction, acoustic and language modeling, decoding, and evaluation. With its modular design, Kaldi allows users to adapt the system to a wide range of languages and domains. As one of the most influential projects in speech recognition, it has become a foundation for much of the modern work in ASR.
    Downloads: 2 This Week
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  • 12
    Saleor

    Saleor

    Customer-centric e-commerce on a modern stack

    ...Saleor gives you great flexibility, with options for building your front-end how you want, and seamless integrations with accounting and inventory systems. It’s also global-ready, able to automatically localize pricing, language and even checkout experience by country. See a Saleor storefront in action at https://pwa.saleor.io/ or get a glimpse of the admin dashboard here: https://pwa.saleor.io/dashboard/. Use login credentials: admin@example.com/admin
    Downloads: 2 This Week
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  • 13
    AI Agent Book

    AI Agent Book

    Deep Understanding AI Agents

    AI Agent Book is an open educational repository for Understanding AI Agents: Design Principles and Engineering Practice. It explains agents through the formula of a language model combined with context and tools. Ten chapters move from core concepts to context engineering, memory, RAG, knowledge graphs, MCP tools, and coding agents. Later material covers evaluation, supervised fine-tuning, reinforcement learning, self-improvement, multimodal interaction, robotics, and multi-agent cooperation. The repository includes 88 companion experiments, with more than 70 designed to run independently. ...
    Downloads: 1 This Week
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  • 14
    OpenHarness

    OpenHarness

    Open Agent Harness with a built-in personal agent, Ohmo

    ...It often includes modular components that can be adapted to different machine learning pipelines, enabling flexibility across use cases such as recommendation systems, natural language processing, or multimodal tasks. OpenHarness is designed to integrate with modern ML ecosystems, supporting distributed training and efficient resource utilization. It also emphasizes collaboration, enabling teams to share configurations and results in a standardized format.
    Downloads: 1 This Week
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  • 15
    DFlash

    DFlash

    Block Diffusion for Ultra-Fast Speculative Decoding

    DFlash is an open-source framework for ultra-fast speculative decoding using a lightweight block diffusion model to draft text in parallel with a target large language model, dramatically improving inference speed without sacrificing generation quality. It acts as a “drafter” that proposes likely continuations which the main model then verifies, enabling significant throughput gains compared to traditional autoregressive decoding methods that generate token by token. This approach has been shown to deliver lossless acceleration on models like Qwen3-8B by combining block diffusion techniques with efficient batching, making it ideal for applications where latency and cost matter. ...
    Downloads: 1 This Week
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  • 16
    VoxCPM

    VoxCPM

    TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning

    ...Instead of converting speech into discrete tokens, it uses an end-to-end diffusion-autoregressive architecture built on the MiniCPM-4 backbone, combining hierarchical language modeling, finite scalar quantization (FSQ), and local Diffusion Transformers. This design helps decouple semantic and acoustic information while preserving fine-grained prosody, leading to more stable and expressive generation than many discrete-token systems. Trained on a large 1.8-million-hour bilingual corpus, VoxCPM can infer appropriate speaking style from context, dynamically adjusting intonation, rhythm, and emotional tone. ...
    Downloads: 3 This Week
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  • 17
    Codeflash

    Codeflash

    Optimize your code automatically with AI

    Codeflash is a general-purpose optimizer for Python that uses advanced large language models (LLMs) to automatically generate, test, and benchmark multiple optimization ideas, then creates merge-ready pull requests with the best improvements for your code. Optimize an entire existing codebase by running codeflash --all. Automate optimizing all future code you will write by installing Codeflash as a GitHub action.
    Downloads: 0 This Week
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  • 18
    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: 0 This Week
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  • 19
    yami

    yami

    An open-source music player with simple UI

    Yami is a lightweight, open-source music player built in Python. It focuses on simplicity and ease of use, providing an intuitive user interface (UI) for users to manage and play their music. Whether you're playing local files or downloading from online sources using spotdl, Yami offers a seamless experience. This project is designed for users who want a minimalistic, cross-platform music player with the ability to integrate external sources like Spotify/YouTube Music.
    Downloads: 0 This Week
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  • 20
    Quark Agent

    Quark Agent

    Quark Agent - Your AI-powered Android APK Analyst

    With Quark Agent, you can perform analyses using only natural language. It creates Quark Script code following your ideas and adjusts the code promptly as you provide feedback.
    Downloads: 0 This Week
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  • 21
    Graphene

    Graphene

    GraphQL in Python Made Easy

    ...Instead of writing GraphQL Schema Definition Langauge (SDL), Python code is written to describe the data provided by your server. Graphene helps you use GraphQL effortlessly in Python, but what is GraphQL? GraphQL is a data query language developed internally by Facebook as an alternative to REST and ad-hoc webservice architectures. With Graphene you have all the tools you need to implement a GraphQL API in Python, with multiple integrations with different frameworks including Django, SQLAlchemy and Google App Engine.
    Downloads: 0 This Week
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  • 22
    ChatPaper

    ChatPaper

    Use ChatGPT to summarize the arXiv papers

    ChatPaper is an AI-assisted research toolkit designed to accelerate academic reading and writing workflows. It uses language models to summarize papers and help researchers screen literature more efficiently. The project also supports full-paper translation, writing improvement, peer-review analysis, and responses to reviewer comments. It can retrieve recent arXiv papers based on keywords and time ranges for topic-focused research. Related tools can generate literature reviews, suggest paper titles, and turn papers into structured notes. ...
    Downloads: 0 This Week
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  • 23
    Sov.ai

    Sov.ai

    A curated list of practical financial machine learning tools and apps

    ...It organizes material across trading, forecasting, portfolio construction, risk, alternative data, and financial machine learning techniques. Dedicated sections cover supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and time-series analysis. Entries include descriptions, popularity data, maintenance indicators, and editorial ratings to help readers compare resources. The main README highlights top-ranked items, while the wiki contains the larger catalogue. Repository and link status information is updated automatically as the collection changes. ...
    Downloads: 0 This Week
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  • 24
    Kirara AI

    Kirara AI

    DIY multimodal AI chatbot

    Kirara AI is a chatbot framework designed to connect large language models with mainstream chat platforms. It supports multi-turn conversation, persona presets, keyword-triggered replies, administrator commands, and conditional automation. The project can work with model providers such as OpenAI, DeepSeek, Claude, Gemini, Qwen, Mistral, Kimi, Minimax, and others. It also supports image generation models, voice replies, cross-platform message sending, and custom workflows.
    Downloads: 0 This Week
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  • 25
    ChatRWKV

    ChatRWKV

    ChatRWKV is like ChatGPT but powered by RWKV

    ChatRWKV is a chat-oriented inference project built around the RWKV language model. It is designed to provide a ChatGPT-like conversational experience while using RWKV’s recurrent, attention-free architecture. The project focuses on making RWKV usable for interactive prompting, assistant behavior, developer demos, and local experimentation. It connects to the broader RWKV ecosystem, including newer RWKV model versions and compatible weights.
    Downloads: 0 This Week
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