Search Results for "python programming language" - Page 14

Showing 3671 open source projects for "python programming language"

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  • 1
    toxic-repos

    toxic-repos

    We are against discrediting open source software

    toxic-repos is a tool that analyzes GitHub repositories to detect signs of hostile or problematic behavior in open-source communities. It helps developers and contributors identify repositories with negative engagement patterns.
    Downloads: 0 This Week
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  • 2
    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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  • 3
    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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  • 4
    BEIR

    BEIR

    A Heterogeneous Benchmark for Information Retrieval

    BEIR is a benchmark framework for evaluating information retrieval models across various datasets and tasks, including document ranking and question answering.
    Downloads: 0 This Week
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    AdalFlow

    AdalFlow

    The library to build & auto-optimize LLM applications

    AdalFlow is a framework for building AI-powered automation workflows, enabling users to design and execute intelligent automation pipelines with minimal coding.
    Downloads: 0 This Week
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  • 6
    Khoj

    Khoj

    An AI personal assistant for your digital brain

    Get more done with your open-source AI personal assistant. Khoj is a desktop application to search and chat with your notes, documents, and images. It is an offline-first, open-source AI personal assistant that is accessible from Emacs, Obsidian or your Web browser. Khoj is a thinking tool that is transparent, fun, and easy to engage with. You can build faster and better by using Khoj to search and reason across all your data sources. Khoj learns from your notes and documents to function as...
    Downloads: 9 This Week
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  • 7
    DeepSeek-OCR

    DeepSeek-OCR

    Contexts Optical Compression

    ...It supports local deployment, enabling organizations concerned about privacy or latency to run the pipeline on-premises rather than send sensitive documents to third-party cloud services. The codebase is written in Python with a focus on modularity: you can swap preprocessing, recognition, and post-processing components as needed for custom workflows.
    Downloads: 41 This Week
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  • 8
    Crafting Interpreters

    Crafting Interpreters

    Repository for the book "Crafting Interpreters"

    This repository is the companion to the book Crafting Interpreters. It contains the full source code for two interpreters (one in C and one in Java), the Markdown source of the book, the tooling to weave prose and code into a website, and build scripts to generate the executable interpreters. The book aims to teach from the ground up how to build a full-featured scripting language (called Lox) with parsing, AST, compiler / VM, garbage collection, classes, and more. Static site generator...
    Downloads: 4 This Week
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  • 9
    AppWorld

    AppWorld

    World of apps for benchmarking interactive coding agent

    AppWorld is a framework developed by Stony Brook University's NLP group to simulate environments for training and evaluating dialogue agents in task-oriented applications.
    Downloads: 1 This Week
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  • 10
    Letta

    Letta

    Letta (formerly MemGPT) is a framework for creating LLM services

    Letta is an AI-powered task automation framework designed to handle workflow automation, natural language commands, and AI-driven decision-making.
    Downloads: 1 This Week
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  • 11
    LeetCode Book

    LeetCode Book

    Comprehensive study guide for coding interviews

    LeetCode-Book is a comprehensive study guide for coding interviews that consolidates algorithm patterns, data-structure templates, and worked LeetCode solutions. It organizes problems by topic—arrays, linked lists, stacks/queues, trees/graphs, dynamic programming, greedy, backtracking, and math—so you can study systematically. Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. Many entries include...
    Downloads: 6 This Week
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  • 12
    Qwen-VL

    Qwen-VL

    Chat & pretrained large vision language model

    Qwen-VL is Alibaba Cloud’s vision-language large model family, designed to integrate visual and linguistic modalities. It accepts image inputs (with optional bounding boxes) and text, and produces text (and sometimes bounding boxes) as output. The model variants (VL-Plus, VL-Max, etc.) have been upgraded for better visual reasoning, text recognition from images, fine-grained understanding, and support for high image resolutions / extreme aspect ratios. Qwen-VL supports multilingual inputs...
    Downloads: 2 This Week
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  • 13
    LangChain

    LangChain

    ⚡ Building applications with LLMs through composability ⚡

    Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications.
    Downloads: 11 This Week
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  • 14
    llm.c

    llm.c

    LLM training in simple, raw C/CUDA

    llm.c is a minimalist, systems-level implementation of a small transformer-based language model in C that prioritizes clarity and educational value. By stripping away heavy frameworks, it exposes the core math and memory flows of embeddings, attention, and feed-forward layers. The code illustrates how to wire forward passes, losses, and simple training or inference loops with direct control over arrays and buffers. Its compact design makes it easy to trace execution, profile hotspots, and...
    Downloads: 3 This Week
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  • 15
    Ludwig AI

    Ludwig AI

    Low-code framework for building custom LLMs, neural networks

    Declarative deep learning framework built for scale and efficiency. Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Automatic batch size selection, distributed training (DDP, DeepSpeed),...
    Downloads: 3 This Week
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  • 16
    LangChain-Chatchat

    LangChain-Chatchat

    Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge

    LangChain-Chatchat (formerly Langchain-ChatGLM): A local knowledge base question answering application implementation based on large language models such as Langchain and ChatGLM. The knowledge base information of the current project is stored in the database, please initialize the database before running the project officially (we strongly recommend that you back up your knowledge files before performing operations). Relying on the open-source LLM and Embedding models supported by this...
    Downloads: 3 This Week
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  • 17
    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...
    Downloads: 1 This Week
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  • 18
    Scikit-LLM

    Scikit-LLM

    Seamlessly integrate LLMs into scikit-learn

    Seamlessly integrate powerful language models like ChatGPT into sci-kit-learn for enhanced text analysis tasks. At the moment the majority of the Scikit-LLM estimators are only compatible with some of the OpenAI models. Hence, a user-provided OpenAI API key is required. Additionally, Scikit-LLM will ensure that the obtained response contains a valid label. If this is not the case, a label will be selected randomly (label probabilities are proportional to label occurrences in the training...
    Downloads: 0 This Week
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  • 19
    LLM Action

    LLM Action

    Technical principles related to large models

    LLM-Action is a knowledge/tutorial/repository that shares principles, techniques, and real-world experience related to large language models (LLMs), focusing on LLM engineering, deployment, optimization, inference, compression, and tooling. It organizes content in domains like training, inference, compression, alignment, evaluation, pipelines, and applications. Sections covering infrastructure, engineering, and deployment. Repository templates, sample code, and resource links. Articles/code...
    Downloads: 0 This Week
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  • 20
    PaLM + RLHF - Pytorch

    PaLM + RLHF - Pytorch

    Implementation of RLHF (Reinforcement Learning with Human Feedback)

    PaLM-rlhf-pytorch is a PyTorch implementation of Pathways Language Model (PaLM) with Reinforcement Learning from Human Feedback (RLHF). It is designed for fine-tuning large-scale language models with human preference alignment, similar to OpenAI’s approach for training models like ChatGPT.
    Downloads: 0 This Week
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  • 21
    ShellGPT

    ShellGPT

    A command-line productivity tool powered by AI large language models

    A command-line productivity tool powered by AI large language models (LLM). This command-line tool offers a streamlined generation of shell commands, code snippets, and documentation, eliminating the need for external resources (like Google search). Supports Linux, macOS, and Windows and is compatible with all major Shells like PowerShell, CMD, Bash, Zsh, etc. By default, ShellGPT uses OpenAI's API and GPT-4 model. You'll need an API key, you can generate one here. You will be prompted for...
    Downloads: 7 This Week
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  • 22
    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.
    Downloads: 1 This Week
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  • 23
    Dlang UI

    Dlang UI

    Cross Platform GUI for D programming language

    DlangUI is a cross-platform GUI toolkit for applications written in the D programming language. It features a complete UI framework with layout managers, event handling, styling, and a full suite of widgets including text editors, buttons, sliders, and more. The toolkit is designed to be lightweight yet powerful, making it suitable for desktop applications, tools, and embedded projects. It includes its own 2D rendering engine and supports localization, themes, and custom UI components.
    Downloads: 0 This Week
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  • 24
    Piku

    Piku

    The tiniest PaaS you've ever seen

    Piku is a minimalistic Platform as a Service (PaaS) that enables users to deploy applications to their own servers using simple Git push commands.
    Downloads: 0 This Week
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  • 25
    JuliaWorkshop

    JuliaWorkshop

    Intensive Julia workshop that takes you from zero to hero

    This is an intensive workshop for the Julia language, composed out of three 2-hour segments. It targets people already familiar with programming, so that the established basics such as for-loops are skipped through quickly and efficiently. Nevertheless, it assumes only rudimentary programming familiarity and does explain concepts that go beyond the basics. The goal of the workshop is to take you from zero to hero (regarding Julia): even if you know nothing about Julia, by the end you should be able to use it like a pro. ...
    Downloads: 0 This Week
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