Search Results for "python windows" - Page 38

6725 projects for "python windows" with 1 filter applied:

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  • 1
    PS2 Cover

    PS2 Cover

    PS2 Covers Collection

    PS2 Covers is a large-scale curated repository of PlayStation 2 game cover images designed to be used with emulators such as PCSX2 and DuckStation, providing a complete visual library for enhancing game collections. It organizes cover art by game serial identifiers, allowing automated systems to fetch the correct image for each title. The repository includes both standard and 3D-style covers, supporting different presentation preferences. It is widely used in emulator setups to create...
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  • 2
    TorchCode

    TorchCode

    Practice implementing softmax, attention, GPT-2 and more

    TorchCode is an interactive learning and practice platform designed to help developers master PyTorch by implementing core machine learning operations and architectures from scratch. It is structured similarly to competitive programming platforms like LeetCode but focuses specifically on tensor operations and deep learning concepts. The platform provides a collection of curated problems that cover fundamental topics such as activation functions, normalization layers, attention mechanisms,...
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  • 3
    Machine Learning Study

    Machine Learning Study

    This repository is for helping those interested in machine learning

    Machine Learning Study is an educational repository containing tutorials and study materials related to machine learning and data science using Python. The project compiles notebooks, explanatory documents, and practical code examples that illustrate common machine learning workflows. Topics covered include supervised learning algorithms, feature engineering, model training, and performance evaluation techniques. The repository is structured as a learning resource that guides readers through...
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  • 4
    Claude Quickstarts

    Claude Quickstarts

    A collection of projects for building deployable applications

    Claude Quickstarts is a curated collection of starter projects and templates that help developers quickly begin building applications with the Claude API, making it easier to leverage Anthropic’s Claude models for real use cases. Each quickstart provides a foundational codebase with preconfigured settings and examples for common deployment scenarios, so developers can focus on customizing functionality instead of bootstrapping infrastructure. The repository includes demos, sample...
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  • 5
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive...
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  • 6
    GitHub Trending Repos

    GitHub Trending Repos

    Track GitHub trending repositories in your favorite programming lang

    GitHub Trending Repos is a notification service for tracking repositories that appear on GitHub Trending. It organizes subscriptions by programming language through dedicated GitHub issues. A scheduled script retrieves trending repositories and posts new results as comments to the corresponding issues. Subscribers then receive the updates through GitHub notifications or email. Users can choose daily or weekly schedules for many supported languages. The project covers a broad range of...
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  • 7
    runprompt

    runprompt

    Run LLM prompts from your shell

    runprompt is an interactive command launcher and prompt utility that lets users bind shell commands, scripts, and workflows to quick keyboard shortcuts or natural-language queries, helping streamline repetitive terminal tasks and boost developer productivity. It functions as a lightweight, launcher-centric interface where you can type a phrase, partial command, or alias and have RunPrompt suggest or execute relevant actions instantly, reducing the need to memorize long commands or navigate...
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  • 8
    NanoJev

    NanoJev

    A nano replica of Jev: parallel decisions, dynamic candidates

    NanoJev is an open-source 0.6B-parameter decision model created as a compact reproduction of Jev-style parallel decision making. It takes states and questions as input and returns complete probability distributions without decoding output tokens one by one. The project supports dynamic candidate sets so the available actions can change from one decision to the next. One shared checkpoint has been tested across ViZDoom aiming tasks, maze navigation, and Snake. The repository includes...
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  • 9
    VibeWise

    VibeWise

    A Claude Code / Codex plugin that helps you learn how to build

    VibeWise is a Claude Code and Codex plugin designed to keep developers actively learning while AI handles implementation work. Instead of immediately generating code, it first asks the user to reason through behavior, architecture, and tradeoffs. Build checkpoints focus on how a feature should work, while design checkpoints record agreed technical decisions. Implementation checkpoints explicitly authorize the agent to write the planned code and run its tests. After coding, the agent explains...
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  • 10
    QingLong

    QingLong

    Timed task management platform supporting Python3

    QingLong is a web-based scheduled-task management platform for running automation scripts in several programming languages. It supports Python 3, JavaScript, Shell, and TypeScript jobs from one administrative interface. Users can create and manage scripts, environment variables, and configuration files directly through the browser. Task schedules can be defined with second-level precision for workflows that require frequent execution. Logs are available online so administrators can inspect...
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  • 11
    SemIf

    SemIf

    Semantic ifs from open models, on a 3090 at home

    SemIf, formerly OpenJev, is an independent research project for making small semantic decisions with open language models. Instead of generating text and parsing it afterward, it reads probabilities directly from declared answer options. Each request supplies state, a runtime-defined question, and typed choices, allowing the model to behave like a semantic conditional. Shared-state execution can reuse a long context across many related decisions to reduce repeated computation. Backends...
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  • 12
    Kev

    Kev

    Jev-like family of decision models built on top of Qwen3.5/3.8

    Kev is a family of open decision models inspired by Jev and built on Qwen3.5 and Qwen3.8 foundations. It processes a document together with multiple typed questions and returns probabilities instead of generated prose. Supported question formats include yes-or-no, multiple choice, and ordered scoring. Checkpoints range from a compact 0.8B model for smaller hardware to a 27B version for high-end systems. The models include probability calibration and can run through CUDA, ROCm, or MLX...
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  • 13
    MSA: Memory Sparse Attention

    MSA: Memory Sparse Attention

    Trainable latent-memory framework for 100M-token contexts

    MSA, or Memory Sparse Attention, is a research framework for scaling language-model memory to extremely long contexts. It replaces full attention over all tokens with sparse selection of compressed latent memory states. Document-wise rotary position encoding and top-k routing keep training and inference close to linear complexity. A tiered KV-cache design stores routing keys on GPU while larger content states can remain on CPU. Its Memory Parallel engine distributes scoring and transfers...
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  • 14
    Claude-Red

    Claude-Red

    claude-red is a curated library of offensive security skills

    Claude Red is a curated collection of offensive-security skill files for Claude's skill system. Each skill provides structured domain guidance for a specific area of authorized security testing or research. The library covers web applications, identity, Active Directory, wireless systems, cloud environments, mobile platforms, embedded devices, reconnaissance, exploit research, and fuzzing. Skills load on demand from conversational triggers instead of occupying context continuously. Users can...
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  • 15
    US Job Market Visualizer

    US Job Market Visualizer

    A research tool for visually exploring Bureau of Labor Statistics

    US Job Market Visualizer is a research tool for interactively exploring Occupational Outlook Handbook data from the U.S. Bureau of Labor Statistics. It organizes information for 342 occupations into a treemap where area represents employment and color can represent different metrics. Users can compare projected growth, median pay, education requirements, and estimated digital AI exposure. The repository includes tools for scraping BLS pages, converting them to structured data, and building...
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  • 16
    Growth Lab

    Growth Lab

    An end-to-end growth tool that understands the product

    Growth Lab is an open-source agentic growth workspace that connects product understanding, market research, execution, measurement, and iteration. It uses Codex or Claude Code as the runtime and treats natural-language conversations as the control surface. Collectors gather product, market, content, and channel evidence, while executor skills help create, publish, review, and coordinate growth work. Each growth model follows an observe-act-review loop and keeps persistent memory of evidence,...
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  • 17
    jlens

    jlens

    Companion code for the global workspace interpretability paper

    Jacobian Lens is Anthropic’s reference implementation for examining what a language model’s internal activations are inclined to produce as text. It transports residual-stream vectors from selected layers and positions into the final-layer basis using an averaged input-output Jacobian. The transformed vectors are decoded through the model’s own unembedding into ranked vocabulary predictions. The package can fit new lenses, load saved ones, apply them to prompts, and merge results from...
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  • 18
    HRM-Text

    HRM-Text

    1B text generation model based on the HRM architecture

    HRM-Text is a one-billion-parameter text generation model and pretraining framework based on the Hierarchical Reasoning Model architecture. It is designed to make foundation model pretraining more accessible by reducing compute and data requirements compared with traditional scaling-heavy approaches. The system combines hierarchical recurrent design, task-completion strengthening, and latent-space reasoning. Its training stack includes PrefixLM sequence packing, FlashAttention 3 kernels,...
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  • 19
    Dia2

    Dia2

    TTS model capable of streaming conversational audio in realtime

    Dia2 is a streaming dialogue text-to-speech model created by Nari Labs for generating conversational audio in real time. It is designed to begin producing speech before receiving the entire input text, which makes it useful for interactive voice applications. The model supports audio conditioning, allowing generated speech to follow a reference voice or conversational style more naturally. Dia2 provides 1B and 2B model checkpoints along with inference code for research and experimentation....
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  • 20
    GoPay Workflow Orchestrator

    GoPay Workflow Orchestrator

    Lightweight process orchestration framework for regional payment

    GoPay Workflow Orchestrator is a lightweight workflow orchestration framework for studying and debugging regional payment-chain flows. It focuses on engineering reliability in multi-stage payment journeys that involve provider redirects, tokenized requests, verification challenges, asynchronous polling, and final status confirmation. The project organizes scattered payment steps into a reproducible and observable process so developers can inspect state transitions and integration failures....
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  • 21
    Train LLM From Scratch

    Train LLM From Scratch

    A straightforward method for training your LLM

    Train LLM From Scratch is an educational PyTorch project that shows how to build and train a transformer-based language model from the ground up. It is based on the architecture described in Attention Is All You Need and is designed to make the training pipeline understandable rather than hidden behind a large framework. The repository walks through the process from downloading data to generating text with a trained model. It supports training smaller or larger models, including million- and...
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  • 22
    Agent Control

    Agent Control

    Centralized agent control plane for governing runtime agent behavior

    Agent Control is a centralized control plane for governing AI agent behavior at runtime across different frameworks and deployment environments. It lets teams define controls once and apply them consistently to agents without rewriting the agent’s core code. The platform evaluates agent inputs and outputs against configurable policies to reduce risks such as prompt injection, unsafe responses, sensitive data exposure, and policy drift. It is designed for production environments where...
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  • 23
    SpotSeekBot

    SpotSeekBot

    spotify music downloader telegram bot (tracks, albums, playlists)

    SpotSeekBot is a Discord music bot designed to stream and control Spotify-based playback within voice channels. It allows users to search for tracks, play songs, and manage queues directly through chat commands. The bot integrates with Spotify APIs to retrieve track information and playlists while using external sources for actual audio playback. It supports common playback controls such as pause, skip, and seek, enabling interactive music sessions in real time. The system is designed to...
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  • 24
    GEO Content Writer

    GEO Content Writer

    Backlog-row-first content production system for teams

    GEO Content Writer is an AI-based content generation tool designed to create optimized content tailored for geographic and semantic search contexts. It focuses on producing articles, pages, and structured content that align with both traditional SEO requirements and emerging AI search patterns. The system leverages language models to generate content that is context-aware, location-specific, and optimized for discoverability. It supports automated workflows for generating large volumes of...
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  • 25
    QA-Pilot

    QA-Pilot

    QA-Pilot is an interactive chat project that leverages LLMs

    QA-Pilot is an interactive chat-based application designed to help users understand and navigate GitHub repositories using large language models. It enables users to clone repositories locally and then interact with them through a conversational interface, allowing for rapid exploration of codebases without manual searching. The system supports both local and cloud-based LLM providers, making it flexible for different environments and privacy requirements. It includes features such as chat...
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