Showing 1797 open source projects for "g-code"

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  • 1
    fe4ml-zh

    fe4ml-zh

    Feature Engineering for Machine Learning

    ...The repository aims to make advanced feature engineering concepts accessible to a broader audience by translating the content and organizing it into readable documentation and code examples. Feature engineering is a critical component of machine learning pipelines because it determines how raw data is transformed into features that algorithms can use effectively. The project explains techniques for creating, selecting, and transforming features in ways that improve model accuracy and robustness. It also discusses the role of domain knowledge, data preprocessing, and statistical reasoning in building effective machine learning models.
    Downloads: 0 This Week
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  • 2
    DevOpsGPT

    DevOpsGPT

    Multi agent system for AI-driven software development

    ...By accurately understanding user requirements, DevOpsGPT minimizes the risk of communication errors and misunderstandings, enhancing collaboration efficiency between development and business teams. DevOpsGPT generates code and performs validation, ensuring the quality and reliability of the delivered software.
    Downloads: 0 This Week
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  • 3
    LangChain Apps on Production with Jina

    LangChain Apps on Production with Jina

    Langchain Apps on Production with Jina & FastAPI

    Jina is an open-source framework for building scalable multi-modal AI apps on Production. LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development. And if you prefer, you can also deploy your LangChain apps on your own...
    Downloads: 0 This Week
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  • 4
    ekho

    ekho

    Chinese text-to-speech engine

    ...The repo includes scripts and configuration files suggesting interactions with media/audio handling libraries. Because of limited README detail, it seems targeted at users comfortable reading and modifying code, rather than end users expecting polished UIs. The code structure implies that Ekho may support hooking into audio input/output streams, perhaps for tasks like audio capture, playback, transformation, or simple voice-based operations. It might serve as a lightweight base or utility for building custom audio-related workflows, such as streaming, playback orchestration, or combining audio modules. ...
    Downloads: 0 This Week
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  • 5
    ChatGLM Efficient Tuning

    ChatGLM Efficient Tuning

    Fine-tuning ChatGLM-6B with PEFT

    ...The project exposes practical switches for quantization and mixed precision, allowing bigger models to fit into limited VRAM. It includes examples for instruction tuning and dialogue datasets, making it straightforward to stand up a task-specific assistant. Because the code leans on widely used libraries, you can bring your own datasets and monitoring tools with minimal glue. For builders who want results fast, it’s a pragmatic way to specialize ChatGLM while controlling costs and turnaround time.
    Downloads: 0 This Week
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  • 6
    OpenNMT-tf

    OpenNMT-tf

    Neural machine translation and sequence learning using TensorFlow

    ...While neural machine translation is the main target task, it has been designed to more generally support sequence-to-sequence mapping, sequence tagging, sequence classification, language modeling. Models are described with code to allow training custom architectures and overriding default behavior. For example, the following instance defines a sequence-to-sequence model with 2 concatenated input features, a self-attentional encoder, and an attentional RNN decoder sharing its input and output embeddings. Sequence to sequence models can be trained with guided alignment and alignment information are returned as part of the translation API.
    Downloads: 1 This Week
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  • 7
    CodeCursor

    CodeCursor

    An extension for using Cursor in Visual Studio Code

    Cursor is an AI code editor based on OpenAI GPT models. You can write, edit and chat about your code with it. At this time, Cursor is only provided as a dedicated app, and the team currently has no plans to develop extensions for other editors or IDEs.
    Downloads: 1 This Week
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  • 8
    EasyRL

    EasyRL

    Reinforcement learning (RL) tutorial series

    easy-rl is a beginner-friendly reinforcement learning (RL) tutorial series and framework developed by Datawhale China. It provides educational resources and implementations of various RL algorithms to help new researchers and practitioners learn RL concepts.
    Downloads: 1 This Week
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  • 9
    FlubuCore

    FlubuCore

    A cross platform build and deployment automation system

    "FlubuCore - Fluent Builder Core" is a cross-platform build and deployment automation system. You can define your build and deployment scripts in C# using an intuitive fluent interface. This gives you code completion, IntelliSense, debugging, FlubuCore custom analyzers, and native access to the whole .NET ecosystem inside of your scripts. FlubuCore offers a .net (core) console application that uses power of roslyn to compile and execute scripts. Intuitive and easy to learn. C#, fluent interface, and IntelliSense make even the most complex script creation a breeze. ...
    Downloads: 0 This Week
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  • 10
    mindflow

    mindflow

    AI-powered CLI git wrapper, boilerplate code generator, chat history

    I-powered CLI git wrapper, boilerplate code generator, chat history manager, and code search engine to streamline your dev workflow. The ChatGPT-powered swiss army knife for the modern developer! We provide an AI-powered CLI git wrapper, boilerplate code generator, code search engine, a conversation history manager, and much more! Configure the model used for generating responses by running mf config and selecting either GPT 3.5 Turbo (default) or GPT 4. ...
    Downloads: 1 This Week
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  • 11
    Bard

    Bard

    Python SDK/API for reverse engineered Google Bard

    ...Because Google doesn’t provide a standard public API for Bard, this project works by reverse-engineering the web interactions that power Bard’s interface and exposing them through code-friendly interfaces, enabling chat automation, custom workflows, and bot creation. The repository typically includes authentication handling, session management, and request/response serialization so that developers don’t have to deal with low-level HTTP details. Users can integrate Bard into Python scripts, chatbots, or local testing environments where conversational AI is useful but an official API isn’t yet available.
    Downloads: 0 This Week
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  • 12
    ChatGPT Proxy

    ChatGPT Proxy

    Simple Cloudflare bypass for ChatGPT

    ChatGPTProxy is an open-source project that creates a lightweight proxy server to intermediate between client applications and the ChatGPT web endpoints, allowing developers to integrate ChatGPT-style functionality into their software without using an official API or embedding web UI code directly. This tool works by accepting requests in a defined format, forwarding them through the proxy to ChatGPT’s backend services, and returning responses to the caller, abstracting away direct browser automation or scraping concerns from the application layer. By consolidating the traffic through a proxy, developers can centralize logging, throttling, authentication, and caching in one place, making it easier to build consistent and controlled AI workflows. ...
    Downloads: 16 This Week
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  • 13
    Downloads: 1 This Week
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  • 14
    PromptAppGPT

    PromptAppGPT

    A rapid prompt app development framework based on GPT

    PromptAppGPT is a low-code prompt-based rapid app development framework. PromptAppGPT contains features such as low-code prompt-based development, GPT text generation, DALLE image generation, online prompt editer+compiler+runer, automatic user interface generation, support for plug-in extensions, etc. PromptAppGPT aims to enable natural language app development based on GPT.
    Downloads: 0 This Week
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  • 15
    TaskMatrix

    TaskMatrix

    Enable sending and receiving images during chatting

    ...The architecture focuses on modularity, allowing new APIs and foundation models to be integrated as interchangeable task-solving components. The project also explores low-code human-AI interaction workflows that improve controllability and transparency during complex task execution.
    Downloads: 0 This Week
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  • 16
    Repo of Tree of Thoughts (ToT)

    Repo of Tree of Thoughts (ToT)

    Implementation of "Tree of Thoughts

    Language models are increasingly being deployed for general problem-solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall short in tasks that require exploration, strategic lookahead, or where initial decisions play a pivotal role. To surmount these challenges, we introduce a new framework for language model inference, Tree of Thoughts (ToT), which generalizes over the popular Chain of...
    Downloads: 1 This Week
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  • 17
    aigc

    aigc

    An e-book about the real-world application of LLM

    "Building Large Language Model Applications: Application Development and Architecture Design" is an open source e-book about the real-world application of LLM. It introduces the basics and applications of large language models, as well as how to build your own models. These include writing, developing, and managing prompts, exploring what the best large language models can bring, and pattern and architecture design for LLM application development.
    Downloads: 1 This Week
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  • 18
    OpenAI OpenAPI

    OpenAI OpenAPI

    OpenAPI specification for the OpenAI API

    openai-openapi is the official OpenAPI specification for the OpenAI API, maintained by OpenAI to provide a standardized, machine-readable contract for all supported endpoints. The repository ensures that developers and toolchains can integrate with OpenAI services using a consistent schema across SDKs, code generators, and API clients. It contains both an automatically documented version of the spec and a manually updated branch for reference. Developers can use this specification to generate client libraries, validate requests and responses, or explore the API structure in compatible tools. The project is actively maintained with tagged releases, issues, and contributions from multiple collaborators. ...
    Downloads: 1 This Week
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  • 19
    pyts

    pyts

    A Python package for time series classification

    ...It aims to make time series classification easily accessible by providing preprocessing and utility tools, and implementations of several time series classification algorithms. The package comes up with many unit tests and continuous integration ensures new code integration and backward compatibility. The package is distributed under the 3-clause BSD license.
    Downloads: 3 This Week
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  • 20
    Audio Webui

    Audio Webui

    A webui for different audio related Neural Networks

    ...It is designed as an “all-in-one” environment where users can experiment with text-to-speech, voice cloning, generative music, and other neural audio models without writing boilerplate code. The project supports multiple back-end models and toolchains (such as Bark, RVC, AudioLDM, Audiocraft, and other text-to-audio or voice-cloning tools), exposing them through a consistent UI for inference and experimentation. Installation is streamlined through automatic installers and platform-specific scripts that create a virtual environment, install dependencies, and launch the web app with minimal manual setup. ...
    Downloads: 0 This Week
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  • 21
    aqueduct LLM

    aqueduct LLM

    Aqueduct allows you to run LLM and ML workloads on any infrastructure

    Aqueduct is an MLOps framework that allows you to define and deploy machine learning and LLM workloads on any cloud infrastructure. Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions. Aqueduct's Python native API allows you to define ML tasks in regular Python code. You can connect Aqueduct to your existing cloud infrastructure (docs), and Aqueduct will seamlessly move your code from your laptop to the cloud or between different cloud infrastructure layers. ...
    Downloads: 0 This Week
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  • 22
    Horovod

    Horovod

    Distributed training framework for TensorFlow, Keras, PyTorch, etc.

    ...Start scaling your model training with just a few lines of Python code. Scale up to hundreds of GPUs with upwards of 90% scaling efficiency.
    Downloads: 0 This Week
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  • 23
    lora-svc

    lora-svc

    Singing voice change based on whisper, lora for singing voice clone

    singing voice change based on whisper, and lora for singing voice clone. You will feel the beauty of the code from this project. Uni-SVC main branch is for singing voice clone based on whisper with speaker encoder and speaker adapter. Uni-SVC main target is to develop lora for SVC. With lora, maybe clone a singer just need 10 stence after 10 minutes train. Each singer is a plug-in of the base model.
    Downloads: 2 This Week
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  • 24
    AI Code Translator

    AI Code Translator

    Use AI to translate code from one language to another

    AI Code Translator is a web-based tool that leverages AI to translate source code from one programming language to another, making cross-language porting or code conversion significantly easier — useful when migrating codebases, experimenting across languages, or learning how code patterns map across languages. The UI is built with Next.js + TypeScript, plus modern tooling like Tailwind CSS, giving a clean frontend experience where you paste or upload code, select target language, and get output quickly. ...
    Downloads: 0 This Week
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  • 25
    ParlAI

    ParlAI

    A framework for training and evaluating AI models

    ...It provides a unified interface—agents, teachers, and worlds—so the same model can be trained on multi-turn chit-chat, question answering, task-oriented dialogue, retrieval, or safety-focused datasets without changing core code. The library integrates tightly with PyTorch and supports both generative and retrieval-augmented models, along with utilities for multitask training and model selection. A large set of built-in tasks and dataset loaders (with consistent preprocessing and metrics) makes it easy to compare methods under shared conditions. Tools for distributed training, mixed precision, and model zoos help scale experiments from laptops to multi-GPU clusters.
    Downloads: 1 This Week
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