Showing 2417 open source projects for "python tools"

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  • 1
    Hello AI World

    Hello AI World

    Guide to deploying deep-learning inference networks

    ...The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train your own DNN models onboard Jetson with PyTorch. Ready to dive into deep learning? It only takes two days. We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. Follow these directions to integrate deep learning into your platform of choice and quickly develop a proof-of-concept design.
    Downloads: 1 This Week
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  • 2
    YOLOV4 Pytorch

    YOLOV4 Pytorch

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

    YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. The project added multi-GPU...
    Downloads: 0 This Week
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  • 3
    OneForAll

    OneForAll

    OneForAll is a powerful subdomain collection tool

    OneForAll is a comprehensive subdomain enumeration and reconnaissance tool primarily used in penetration testing and bug bounty workflows. Built in Python, it aggregates results from numerous DNS, certificate transparency, search engine, and threat intelligence sources to uncover hidden subdomains. The tool is particularly notable for incorporating many Chinese data sources that are often missed by Western-focused recon tools, increasing discovery coverage. It supports brute-force subdomain discovery, recursive scanning, and takeover detection to help identify potential attack surfaces. ...
    Downloads: 0 This Week
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  • 4
    Official YOLOv7

    Official YOLOv7

    YOLOv7: Trainable bag-of-freebies sets new state-of-the-art

    YOLOv7 is the official implementation of the paper “YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.” It is a PyTorch-based object detection project focused on high speed and strong accuracy for real-time computer vision. The repository provides model definitions, training scripts, testing tools, inference examples, pretrained weights, and deployment-oriented materials. YOLOv7 introduced training-time improvements that raise accuracy without...
    Downloads: 1 This Week
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  • 5
    Discord ATIO

    Discord ATIO

    ATIO is a AIO Script Developed with Python3

    Discord-All-Tools-In-One is an archived Python toolkit that collected many Discord-related automation, abuse, and account-manipulation scripts in one interface. The repository itself describes the project as potentially malicious and unethical, and many of its modules involve activities that can violate privacy, platform rules, or the law. It includes tools related to selfbotting, account abuse, token misuse, webhook spam, server disruption, and remote-access malware. ...
    Downloads: 1 This Week
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  • 6
    Docksal

    Docksal

    Docksal is a tool for defining and managing web development

    Running Docker on macOS and Windows is supported via VirtualBox as well as Docker for Mac / Docker for Windows. Docksal project stacks are pre-loaded with common development tools, which include Composer, PHP Code Sniffer, php-cli, node, npm, ruby, bundler, and python. For PHP, Drupal, and WordPress development, it comes with Drush, Drupal Console, and WP-CLI. There is built-in support for Apache Solr, Varnish, Memcache, Selenium, and Behat. Since services are containerized with Docker, any other service needed for a project can be added. ...
    Downloads: 2 This Week
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  • 7
    WaveRNN

    WaveRNN

    WaveRNN Vocoder + TTS

    WaveRNN is a PyTorch implementation of DeepMind’s WaveRNN vocoder, bundled with a Tacotron-style TTS front end to form a complete text-to-speech stack. As a vocoder, WaveRNN models raw audio with a compact recurrent neural network that can generate high-quality waveforms more efficiently than many traditional autoregressive models. The repository includes scripts and code for preprocessing datasets such as LJSpeech, training Tacotron to produce mel spectrograms, training WaveRNN on those...
    Downloads: 0 This Week
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  • 8
    DomE

    DomE

    Implements a reference architecture for creating information systems

    DomE Experiment is an implementation of a reference architecture for creating information systems from the automated evolution of the domain model. The architecture comprises elements that guarantee user access through automatically generated interfaces for various devices, integration with external information sources, data and operations security, automatic generation of analytical information, and automatic control of business processes. All these features are generated from the domain...
    Downloads: 0 This Week
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  • 9
    Horusec

    Horusec

    Open source tool that improves identification of vulnerabilities

    Horusec is an open source tool that performs a static code analysis to identify security flaws during the development process. Currently, the languages for analysis are C#, Java, Kotlin, Python, Ruby, Golang, Terraform, Javascript, Typescript, Kubernetes, PHP, C, HTML, JSON, Dart, Elixir, Shell, Nginx. The tool has options to search for key leaks and security flaws in all your project's files, as well as in Git history. Horusec can be used by the developer through the CLI and by the...
    Downloads: 3 This Week
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  • 10
    Crunch

    Crunch

    Insane(ly slow but wicked good) PNG image optimization

    Crunch is an image compression tool for lossy PNG image file optimization. Using a combination of selective bit depth, color palette reduction and color type, as well as zopfli DEFLATE compression algorithm encoding that employs the pngquant and zopflipng PNG optimization tools, Crunch is effectively able to optimize and compress images with minimal decrease in image quality. While it may produce file size gains larger than those produced by lossless approaches, the impact on image quality...
    Downloads: 0 This Week
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  • 11
    µPipenv

    µPipenv

    A lightweight wrapper for pip to support requirements.txt

    ...I would like to have a tool that "rules them all" - one lightweight tool to support all Python dependency lock file managers (pip-tools, Poetry, Pipenv) and lets users decide what they want to use when deploying Python applications in containerized environments (e.g. Kubernetes, OpenShift, ...).
    Downloads: 0 This Week
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  • 12
    MuZero General

    MuZero General

    A commented and documented implementation of MuZero

    muzero-general is an open-source implementation of the MuZero reinforcement learning algorithm introduced by DeepMind. MuZero is a model-based reinforcement learning method that combines neural networks with Monte Carlo Tree Search to learn decision-making policies without requiring explicit knowledge of the environment’s dynamics. The repository provides a well-documented and commented implementation designed primarily for educational purposes. It allows researchers and developers to train...
    Downloads: 0 This Week
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  • 13
    Sardana

    Sardana

    A python based control system

    ...Make Sardana the generic user environment distributed in the Tango project and the standard basis of collaborations in control. The origin of the Sardana name comes from a Catalan dance to honor the region where the ALBA synchrotron is build. Sardana is entirely built over Python, Qt and Tango. If you like the tools you will love Sardana.
    Downloads: 0 This Week
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  • 14
    SageMaker MXNet Inference Toolkit

    SageMaker MXNet Inference Toolkit

    Toolkit for allowing inference and serving with MXNet in SageMaker

    SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep...
    Downloads: 0 This Week
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  • 15
    Mask2Former

    Mask2Former

    Code release for "Masked-attention Mask Transformer

    Mask2Former is a unified segmentation architecture that handles semantic, instance, and panoptic segmentation with one model and one training recipe. Its core idea is to cast segmentation as mask classification: a transformer decoder predicts a set of mask queries, each with an associated class score, eliminating the need for task-specific heads. A pixel decoder fuses multi-scale features and feeds masked attention in the transformer so each query focuses computation on its current spatial...
    Downloads: 1 This Week
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  • 16
    pyTorch Tutorials

    pyTorch Tutorials

    Build your neural network easy and fast

    pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks,...
    Downloads: 0 This Week
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  • 17
    Real-ESRGAN ncnn Vulkan

    Real-ESRGAN ncnn Vulkan

    NCNN implementation of Real-ESRGAN

    ...Unlike the standard PyTorch-based Real-ESRGAN code, this variant is written in C/C++ and designed to run efficiently on many platforms (including Windows, Linux, and possibly Android) without requiring heavy frameworks like CUDA or Python. It provides command-line tools for upscaling images with selected models, allowing users to specify input/output paths, scaling factors, tile sizes, and model names from a compressed model set, which is particularly helpful for larger images or automated workflows. The Vulkan backend enables fast execution on GPUs from different vendors (Intel/AMD/Nvidia) with broad support, making it suitable for non-Python environments, production systems, or performance-constrained setups.
    Downloads: 62 This Week
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  • 18
    Guild AI

    Guild AI

    Experiment tracking, ML developer tools

    Guild AI is an open-source experiment tracking toolkit designed to bring systematic control to machine learning workflows, enabling users to build better models faster. It automatically captures every detail of training runs as unique experiments, facilitating comprehensive tracking and analysis. Users can compare and analyze runs to deepen their understanding and incrementally improve models. Guild AI simplifies hyperparameter tuning by applying state-of-the-art algorithms through...
    Downloads: 1 This Week
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  • 19
    YOLOX

    YOLOX

    YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5

    YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. Prepare your own dataset with images and labels first. For labeling images, you can use tools like Labelme or CVAT. One more thing worth noting is that you should also implement pull_item and load_anno method...
    Downloads: 13 This Week
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  • 20
    PromptSource

    PromptSource

    Toolkit for creating, sharing and using natural language prompts

    PromptSource is a toolkit for creating, sharing and using natural language prompts. Recent work has shown that large language models exhibit the ability to perform reasonable zero-shot generalization to new tasks. For instance, GPT-3 demonstrated that large language models have strong zero- and few-shot abilities. FLAN and T0 then demonstrated that pre-trained language models fine-tuned in a massively multitask fashion yield even stronger zero-shot performance. A common denominator in these...
    Downloads: 5 This Week
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  • 21
    CoffeeScript

    CoffeeScript

    Unfancy JavaScript

    CoffeeScript is a lightweight programming language that compiles into JavaScript. It adds syntactic sugar inspired by Ruby, Python, and Haskell to improve brevity and readability, while producing predictable and efficient JavaScript output. Its design emphasizes that “It’s just JavaScript,” meaning any JS library works seamlessly, and compiled output is clean and performant. Adds syntactic sugar like list comprehensions and destructuring assignment. Supports literate programming via...
    Downloads: 3 This Week
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  • 22
    MAE (Masked Autoencoders)

    MAE (Masked Autoencoders)

    PyTorch implementation of MAE

    MAE (Masked Autoencoders) is a self-supervised learning framework for visual representation learning using masked image modeling. It trains a Vision Transformer (ViT) by randomly masking a high percentage of image patches (typically 75%) and reconstructing the missing content from the remaining visible patches. This forces the model to learn semantic structure and global context without supervision. The encoder processes only the visible patches, while a lightweight decoder reconstructs the...
    Downloads: 0 This Week
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  • 23
    ELECHEM & FARADAY (Electrochemical)

    ELECHEM & FARADAY (Electrochemical)

    Simulation tool for electrochemical / electroplating parameters

    FARADAY and ELECHEM are the two portable computer programs, find useful for electrochemical researchers, electroplating units, battery as well as supercapacitor industries, process engineers, materials scientists & engineers, electroplaters, hobbyists, and students to evaluate various electrochemical deposition parameters. These computational tools can be used to simulate various electrochemical deposition data or electroplating parameters for metals, alloys, composites as well as energy...
    Downloads: 0 This Week
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  • 24
    Sneedacity

    Sneedacity

    Audio Editor

    ...Sneedacity aims to provide a telemetry-free experience while otherwise being up-to-date with Audacity's original codebase, with minor improvements being added as (s)needed by contributors and volunteers like you at large. Sneedacity is free software licensed under GPL, version 2. Macros for chaining commands and batch processing. Scripting in Python, Perl, or any language that supports named pipes. Nyquist Very powerful built-in scripting language that may also be used to create plug-ins. Editing multi-track editing with sample accuracy and arbitrary sample rates. Accessibility for VI users. Analysis and visualization tools to analyze audio or other signal data.
    Downloads: 9 This Week
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  • 25
    pyDesk OS

    pyDesk OS

    An Xubuntu-based distro with Python dev tools

    PyDesk is an Xubuntu-based distribution with basic development tools of Python. In the current version, IDLE, pip, venv and Jupyter Notebook are pre-installed.
    Downloads: 5 This Week
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