Showing 2671 open source projects for "claw-code"

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  • 1
    Dummy-Robot

    Dummy-Robot

    My super mini robotic arm robot project

    Dummy-Robot is an open source robotics project by Peng Zhihui that showcases the design and implementation of a compact robotic arm . The repository contains full hardware design files, firmware, control software, and 3D models. It includes components such as a gripper, LED light ring PCB, wireless spatial positioning controller, and a portable case. The project demonstrates advanced engineering with stepper motor drivers, custom controllers, and debugging tools. While the original version...
    Downloads: 0 This Week
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  • 2

    OpenOffice.org Utility Library

    Library modules for creating ODF documents.

    ...These documents include many features including: - Create multiple table spreadsheets - Cells with text, numbers, dates, formulas - Ability to use built-in styles - Ability to create automatic styles (ie. bold, italics, underline, font size, font color, background color, etc.) - Set column and row attributes including width and height I am currently hosting the new development code at the following URL: https://github.com/josephcolton/ooolib-python I will be posting releases here on SourceForge as well as GitHub, so you can come to either place for the releases. The newest code will only be available using Git on GitHub.
    Downloads: 2 This Week
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  • 3
    DialoGPT

    DialoGPT

    Large-scale pretraining for dialogue

    ...The model was trained on a massive dataset of approximately 147 million conversational exchanges extracted from Reddit discussion threads, allowing it to learn patterns of natural human conversation. DialoGPT provides multiple pretrained model sizes and includes code for training, fine-tuning, and evaluating dialogue generation models. The repository also contains scripts for preparing conversation datasets and reproducing experimental benchmarks related to conversational AI research.
    Downloads: 0 This Week
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  • 4
    FormaVid

    FormaVid

    Small Business Appliance

    ...The appliance is built using scripts so no hidden "monkey business" and you can choose a "compatible base distro" based on your needs: familiarity; performance; security; usability; etc. Please see https://sourceforge.net/p/formavid/code/ci/master/tree/INSTALL.txt for details. The appliance is specially designed to run on the Google Cloud Platform "Free Tier" https://formavid.org/gce and has it's own custom install script https://sourceforge.net/projects/formavid/files/gcloud-gce-deployment/download with instructions https://sourceforge.net/projects/formavid/files/ provided.
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  • 5
    agglo

    agglo

    Multi facets CASE/AGL for easy project developments

    Agglo is a CASE (Computer Aided Software Engineering) or AGL (Atelier Génie Logiciel), whose aim is to facilitate installation ans use of various tools (either existing opensource tools, or agglo tools), in several facets of project development: - requirements management - unit tests - automated integration tests - toolkit for various languages (cpp, c, python, shell, xsl) other facets are to come ultimately: - coverage tests - planification - integration with hudson - code quality analysis - indicator production
    Downloads: 0 This Week
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  • 6
    CommandlineConfig

    CommandlineConfig

    A library for users to write configurations in Python

    CommandlineConfig is a lightweight Python library designed to simplify managing configuration parameters for experiments and applications, especially in research workflows that require frequent tweaking of hyperparameters. It lets you define configuration in familiar Python dictionaries or JSON files and then access nested parameters via dot notation in code, improving readability and reducing boilerplate. One of its core strengths is the ability to override configuration values directly from the command line, making it convenient to run many experimental variants without editing files repeatedly. The library supports arbitrarily deep nested structures, type handling, enumerated value constraints, and even tuple types, which are common in ML experiment setups. ...
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  • 7
    Moriarty Project

    Moriarty Project

    Web-based OSINT tool for investigating phone number information

    ...Moriarty Project focuses strictly on OSINT-style information gathering and does not provide tracking, hacking, or harmful capabilities against phone number owners. It is fully open source, allowing users to inspect the code and understand how the data collection mechanisms work.
    Downloads: 14 This Week
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  • 8
    Mouse Keyboard Clicker Holder

    Mouse Keyboard Clicker Holder

    Autoclicker and holder for keyboard keys and mouse buttons

    Autoclicker and holder for mouse buttons and keyboard keys. A small program to autoclick or hold a keyboard key or a mouse button. Can be downloaded as .exe as well as the original .py file. The source code is written in Python with alongside PySide6 and Pynput. The program is distributed under the Unlicense ( https://unlicense.org/ )
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    Downloads: 2,703 This Week
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  • 9
    HelenOS

    HelenOS

    A microkernel-based multiserver operating system written from scratch.

    ...HelenOS does not aim to be a clone of any existing operating system and trades compatibility with legacy APIs for cleaner design. Most of HelenOS components have been made to order specifically for HelenOS so that its essential parts can stay free of adaptation layers, glue code, franken-components and the maintenance burden incurred by them.
    Downloads: 0 This Week
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  • 10
    Reinforcement-learning

    Reinforcement-learning

    Implementation of Reinforcement Learning Algorithms. Python, OpenAI

    ...The project collects popular approaches such as dynamic programming, Monte Carlo methods, temporal difference learning, Q-learning, SARSA, deep Q-networks, and policy gradient techniques, often demonstrated with Python and OpenAI Gym environments so users can experiment with agents learning in simulated tasks. For each algorithm category, the repository pairs conceptual descriptions with runnable code and often illustrated exercises that help solidify understanding by bridging theory with practice. It’s structured to serve learners progressing from basic tabular methods to function approximation and deep learning extensions, making it suitable for students, researchers, or practitioners exploring reinforcement learning fundamentals.
    Downloads: 0 This Week
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  • 11
    Hacker Scripts

    Hacker Scripts

    Based on a true story

    Hacker Scripts is a cheeky collection of small automation scripts and language ports collected under the tagline “Based on a true story.” The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the...
    Downloads: 449 This Week
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  • 12
    DecryptLogin

    DecryptLogin

    Python library providing APIs for automated website login workflows

    ...It focuses on implementing login mechanisms through HTTP requests, allowing developers to programmatically authenticate with supported services without manually replicating complex login flows. It includes modules that handle different authentication modes such as PC login, mobile login, and QR code login depending on what the target platform supports. DecryptLogin supports a wide variety of online services and platforms, including social media sites, developer platforms, cloud services, and other web portals. Developers can integrate these login routines into automation scripts, crawlers, or data collection tools that require authenticated sessions. ...
    Downloads: 2 This Week
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  • 13
    Opta

    Opta

    The next generation of Infrastructure-as-Code

    Opta is an infrastructure-as-code framework. Rather than working with a low-level cloud configuration, Opta enables you to work with high-level constructs. Opta high-level constructs produce Terraform configuration files. This helps you avoid lock-in to Opta. You can write custom Terraform code or even take the Opta-generated Terraform and go your own way. Opta is a new kind of Infrastructure-as-Code (IaC) framework that lets engineers work with high-level constructs instead of getting lost in low-level cloud configuration. ...
    Downloads: 0 This Week
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  • 14
    Teleread

    Teleread

    An e-book reading protocol for Linux and Windows

    ...Supported OS: Windows 7 Windows 8 Windows 8.1 Windows 10 Windows 11 Any Linux where python3 is installed For help, select help in the main menu NOTE: to download, click files, then select the version. For some reason it isn't letting me set it to download the main file WARNING: Source code is OUTDATED. For up to date source, visit https://github.com/Enderbyte-Programs/Teleread. If you wish to write your own books, please read the technical documentation or see the example book in the github repo.
    Downloads: 0 This Week
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  • 15
    VSCode-LaTeX-Inkscape

    VSCode-LaTeX-Inkscape

    A way to integrate LaTeX, VS Code, and Inkscape in macOS

    A way to integrate LaTeX, VS Code, and Inkscape in macOS. I use LaTeX heavily for both academic work and professional work, and I think I'm quite proficient in terms of typing things out in LaTeX. But when I see the mind-blowing blog posts from Gilles Castel (RIP)-How I'm able to take notes in mathematics lectures using LaTeX and Vim and also How I draw figures for my mathematical lecture notes using Inkscape, I realize that I'm still far from fast, so I decided to adapt the whole setup from Linux-Vim to macOS-VS Code.
    Downloads: 0 This Week
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  • 16
    codecat

    codecat

    static code analysis, to find/track sinks and bugs

    CodeCat is a open source tool to help you in static code analysis, to find/track sinks and bugs, this points follow regex rules...
    Downloads: 0 This Week
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  • 17
    Reinforcement Learning Methods

    Reinforcement Learning Methods

    Simple Reinforcement learning tutorials

    Reinforcement-Learning-with-TensorFlow is an educational repository that walks through key reinforcement learning algorithms implemented in TensorFlow. It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can easily trace how actions, rewards, and model updates connect. ...
    Downloads: 0 This Week
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  • 18
    ostRAT

    ostRAT

    OpenSourceTelegramRAT - Remote PC access via Telegram Bot.

    ostRAT is free and open source. GPLv3 Сomputer remote control software. Works via telegram bot. A lot of functions, for example: - Screenshot: sends a screenshot - Off: turns off the computer - Url: opens entered link - Write: sends your text to the computer - Move: changes mouse location with x and y - and more! WARNING: Using the bot is recommended only on your device. Failure to comply with the recommendation may result in criminal liability.
    Downloads: 0 This Week
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  • 19
    YOLOV4 Pytorch

    YOLOV4 Pytorch

    This is a source code for YoloV4-pytorch that can be used to train you

    ...The project added multi-GPU training, seed settings for reproducible results, adaptive learning rate behavior based on batch size, and both step and cosine learning rate schedules. It also supports Adam and SGD optimizer choices, image cropping, adjustable parameters, and extensive code comments. It is a useful educational and applied repository for users who want to understand or customize YOLOv4 in PyTorch.
    Downloads: 15 This Week
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  • 20
    Apple Neural Engine (ANE) Transformers

    Apple Neural Engine (ANE) Transformers

    Reference implementation of the Transformer architecture optimized

    ANE Transformers is a reference PyTorch implementation of Transformer components optimized for Apple Neural Engine on devices with A14 or newer and on Macs with M1 or newer chips. It demonstrates how to structure attention and related layers to achieve substantial speedups and lower peak memory compared to baseline implementations when deployed to ANE. The repository targets practitioners who want to keep familiar PyTorch modeling while preparing models for Core ML/ANE execution paths....
    Downloads: 0 This Week
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  • 21
    PyTorch Transfer-Learning-Library

    PyTorch Transfer-Learning-Library

    Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.

    TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us.
    Downloads: 0 This Week
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  • 22
    Video Pre-Training

    Video Pre-Training

    Learning to Act by Watching Unlabeled Online Videos

    The Video PreTraining (VPT) repository provides code and model artifacts for a project where agents learn to act by watching human gameplay videos—specifically, gameplay of Minecraft—using behavioral cloning. The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction.
    Downloads: 0 This Week
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  • 23
    Guided Diffusion

    Guided Diffusion

    Codebase for Diffusion Models Beat GANS on Image Synthesis

    ...It is derived from OpenAI’s improved-diffusion work, enhanced to include guided generation where a classifier (or other guidance mechanism) can steer sampling toward desired classes or attributes. The code provides model definitions (UNet, diffusion schedules), sampling and training scripts, and utilities for guidance and evaluation. A key insight is that combining diffusion sampling with classifier gradients allows fine control over the generated images, trading off diversity vs fidelity. The repository includes scripts such as image_train.py, image_sample.py, and classifier_train.py to train diffusion models, generate samples, and train guiding classifiers. ...
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  • 24
    ConvNeXt

    ConvNeXt

    Code release for ConvNeXt model

    ConvNeXt is a modernized convolutional neural network (CNN) architecture designed to rival Vision Transformers (ViTs) in accuracy and scalability while retaining the simplicity and efficiency of CNNs. It revisits classic ResNet-style backbones through the lens of transformer design trends—large kernel sizes, inverted bottlenecks, layer normalization, and GELU activations—to bridge the performance gap between convolutions and attention-based models. ConvNeXt’s clean, hierarchical structure...
    Downloads: 0 This Week
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  • 25
    Recursive Sans & Mono

    Recursive Sans & Mono

    Recursive Mono & Sans is a variable font family for code & UI

    Recursive Sans & Mono is a variable type family built for better code & UI. It is inspired by casual script signpainting, but designed primarily to meet the needs of programming environments and application interfaces. In programming, “recursion” is when a function calls itself, using its own output as an input to yield powerful results. Recursive Mono was used as a tool to help build itself: it was used to write Python scripts to automate type production work and to generate specimen images, and it was used in HTML, CSS, and JS to create web-based proofs & prototypes. ...
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