Showing 164 open source projects for "python sample"

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  • 1
    PromptCraft-Robotics

    PromptCraft-Robotics

    Community for applying LLMs to robotics and a robot simulator

    The PromptCraft-Robotics repository serves as a community for people to test and share interesting prompting examples for large language models (LLMs) within the robotics domain. We also provide a sample robotics simulator (built on Microsoft AirSim) with ChatGPT integration for users to get started. We currently focus on OpenAI's ChatGPT, but we also welcome examples from other LLMs (for example open-sourced models or others with API access such as GPT-3 and Codex).
    Downloads: 0 This Week
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  • 2
    minGPT

    minGPT

    A minimal PyTorch re-implementation of the OpenAI GPT

    minGPT is a minimalist, educational re-implementation of the GPT (Generative Pretrained Transformer) architecture built in PyTorch, designed by Andrej Karpathy to expose the core structure of a transformer-based language model in as few lines of code as possible. It strips away extraneous bells and whistles, aiming to show how a sequence of token indices is fed into a stack of transformer blocks and then decoded into the next token probabilities, with both training and inference supported....
    Downloads: 0 This Week
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  • 3
    Point-E

    Point-E

    Point cloud diffusion for 3D model synthesis

    point-e is the official repository for Point-E, a generative model developed by OpenAI that produces 3D point clouds from textual (or image) prompts. Its principal advantage is speed: it can generate 3D assets in just 1–2 minutes on a single GPU, which is significantly faster than many competing text-to-3D models. The model works via a two-stage diffusion approach: first, it uses a text → image diffusion network to produce a synthetic 2D view consistent with the prompt; then a second...
    Downloads: 0 This Week
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  • 4
    Text Classification

    Text Classification

    All kinds of text classification models and more with deep learning

    Text Classification is a deep learning repository focused on text classification models for NLP. It provides a broad set of baseline architectures that can be used to study, train, compare, and adapt classification approaches. The project supports both single-label and multi-label classification, making it useful for sentence-level and document-level tasks. It includes classic and advanced models such as fastText, TextCNN, BERT, TextRNN, RCNN, hierarchical attention networks, seq2seq...
    Downloads: 0 This Week
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  • 5
    Auto-PyTorch

    Auto-PyTorch

    Automatic architecture search and hyperparameter optimization

    While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series...
    Downloads: 0 This Week
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  • 6
    ceph-ansible

    ceph-ansible

    Ansible playbooks to deploy Ceph, the distributed filesystem

    Ansible playbooks for Ceph, the distributed filesystem. This project assumes you have a basic knowledge of how Ansible works and have already prepared your hosts for configuration by Ansible. After you’ve cloned the ceph-ansible repository, selected your branch and installed Ansible then you’ll need to create your inventory file, playbook and configuration for your Ceph cluster. The Ansible inventory file defines the hosts in your cluster and what roles each host plays in your Ceph cluster....
    Downloads: 0 This Week
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  • 7
    AutoScraper

    AutoScraper

    A Smart, Automatic, Fast and Lightweight Web Scraper for Python

    This project is made for automatic web scraping to make scraping easy. It gets a URL or the HTML content of a web page and a list of sample data that we want to scrape from that page. This data can be text, URL or any HTML tag value of that page. It learns the scraping rules and returns similar elements. Then you can use this learned object with new URLs to get similar content or the exact same element of those new pages.
    Downloads: 0 This Week
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  • 8
    Blank Grabber

    Blank Grabber

    The most powerful stealer written in Python 3

    ...It should not be used as a normal utility, administration tool, or learning project for general users. The safest way to describe it is as a malware sample for defensive analysis, detection engineering, and awareness of common stealer techniques. It is no longer actively maintained in the original repository.
    Downloads: 60 This Week
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  • 9
    Google Cloud Vision API examples

    Google Cloud Vision API examples

    Sample code for Google Cloud Vision

    The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource.
    Downloads: 0 This Week
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  • 10
    FastClicker

    FastClicker

    Autoclicker to set your dynamic cursor locations and number of clicks

    An application with a predefined template to set your dynamic cursor locations or at a prespecified location. The maximum number of clicks can also be set.
    Downloads: 13 This Week
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  • 11
    Manticore

    Manticore

    Symbolic execution tool

    Manticore helps us quickly take advantage of symbolic execution, taint analysis, and instrumentation to analyze binaries. Parts of Manticore underpinned our symbolic execution capabilities in the Cyber Grand Challenge. As an open-source tool, we hope that others can take advantage of these capabilities in their own projects. We prioritized simplicity and usability while building Manticore. We used minimal external dependencies and our API should look familiar to anyone with exploitation or...
    Downloads: 0 This Week
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  • 12
    AWS Step Functions Data Science SDK

    AWS Step Functions Data Science SDK

    For building machine learning (ML) workflows and pipelines on AWS

    ...In Amazon SageMaker, example Jupyter notebooks are available in the example notebooks portion of a notebook instance. To run the AWS Step Functions Data Science SDK example notebooks locally, download the sample notebooks and open them in a working Jupyter instance.
    Downloads: 0 This Week
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  • 13
    Bandwidth

    Bandwidth

    Monitor monthly internet Transmit and Receive bandwidth usage - Linux

    Keep track of bandwidth usage Allows Linux users to monitor their Transmit and Receive bandwidth usage with a simple text based menu, via your browser or from the command line. Some of us are unable to get "unlimited", "all that you can eat", internet packages and are left trying to stay within our Download/Upload limits, whilst paying dearly for the "privilege". Equally, we didn't have the foresight or the money to purchase an snmp managed router, so we are unable to strip the traffic...
    Downloads: 0 This Week
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  • 14
    XISMuS

    XISMuS

    X-Ray Imaging Software for Multiple Samples

    ATTENTION: Cumulative update 2.5.0 has been released!! The update works for any previous 2.x.x version. If upgrading from version v1.x.x, please download and install v2.0.0 first. IMPORTANT FIXES in respect to base v2.0.0 version: v.2.5.0 introduces the Differential Attenuation and Cube Viewer utilities, and migrates user database to *.json files v2.4.3 fixes a with K element in the fit-approx method v2.4.3 fixes and issue where saving plots with fit-approx or a auto-wizard could...
    Downloads: 4 This Week
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  • 15
    AI Platform Training and Prediction
    AI Platform Training and Prediction is a collection of machine learning example projects that demonstrate how to train, deploy, and serve models using Google Cloud AI Platform and related services. It includes a wide variety of implementations across frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost, allowing developers to explore different approaches to building ML solutions. The repository covers the full machine learning lifecycle, including data preprocessing, model...
    Downloads: 0 This Week
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  • 16
    Code Cookbook

    Code Cookbook

    Reusable code patterns which you can use as reference or copy

    Reusable code patterns which you can use as reference or copy to your project. Achieve small or large tasks using recipes that contain steps, scripts, and config files.
    Downloads: 0 This Week
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  • 17
    Mocking Bird

    Mocking Bird

    Clone a voice in 5 seconds to generate arbitrary speech in real-time

    ...The codebase is implemented in Python (with PyTorch) and includes modules for encoder, synthesizer, vocoder, preprocessing, and inference, as well as demo scripts and a web-server interface for easier experimentation or deployment. MockingBird supports both using pretrained models and training your own synthesizer (with custom datasets), giving flexibility for voice-cloning or custom-voice synthesis depending on your needs.
    Downloads: 2 This Week
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  • 18
    Machine-Learning

    Machine-Learning

    kNN, decision tree, Bayesian, logistic regression, SVM

    ...This makes the repo suitable for students, hobbyists, or developers who want to deeply understand how ML algorithms work under the hood and experiment with parameter tuning or custom data. Because it's part of the author’s learning-path repositories, it likely is integrated with tutorials, sample datasets, and contextual guidance, which helps users bridge theory.
    Downloads: 0 This Week
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  • 19
    Pydub

    Pydub

    Manipulate audio with a simple and easy high level interface

    ...Note that no validation takes place on these parameters, and you may be limited by what your particular build of ffmpeg/avlib supports. You can open and save WAV files with pure python. For opening and saving non-wav files, like mp3, you'll need ffmpeg or libav. Any operations that combine multiple AudioSegment objects in any way will first ensure that they have the same number of channels, frame rate, sample rate, bit depth, etc.
    Downloads: 0 This Week
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  • 20
    Keras TCN

    Keras TCN

    Keras Temporal Convolutional Network

    TCNs exhibit longer memory than recurrent architectures with the same capacity. Performs better than LSTM/GRU on a vast range of tasks (Seq. MNIST, Adding Problem, Copy Memory, Word-level PTB...). Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients). The usual way is to import the TCN layer and use it inside a Keras model. The receptive field is defined as the...
    Downloads: 0 This Week
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  • 21
    ...This client enables to extract and download data through a python command line Indesol project sample: http://www.indeso.web.id/indeso_wp/index.php/faq/30-6-how-to-write-and-run-the-script-to-download-indeso-met-ocean-data
    Downloads: 0 This Week
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  • 22
    joy2key

    joy2key

    Steer in GTBikeV with any unsupported joystick

    Map joystick buttons to keyboard keys, to steer in GTBikeV with any (unsupported) joystick. Uses Python Windows joystick API and sample code from How to generate keyboard events in Python? If your joystick has an analog stick you may prefer using x360ce for steering. You can still use joy2key to enable/disable auto drive and change radio station, just leave buttons 3 and 4 unmapped in x360ce.
    Downloads: 27 This Week
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  • 23
    Image GPT

    Image GPT

    Large-scale autoregressive pixel model for image generation by OpenAI

    Image-GPT is the official research code and models from OpenAI’s paper Generative Pretraining from Pixels. The project adapts GPT-2 to the image domain, showing that the same transformer architecture can model sequences of pixels without altering its fundamental structure. It provides scripts to download pretrained checkpoints of different model sizes (small, medium, large) trained on large-scale datasets and includes utilities for handling color quantization with a 9-bit palette....
    Downloads: 10 This Week
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  • 24
    HiFi-GAN

    HiFi-GAN

    Generative Adversarial Networks for Efficient and High Fidelity Speech

    HiFi-GAN is a GAN-based neural vocoder designed to generate high-fidelity speech waveforms from mel spectrograms with exceptional efficiency. It introduces a generator architecture tailored to model the periodic structure of speech and a set of discriminators that focus on different scales and periods of the waveform to better capture naturalness. The model targets a sweet spot between sample quality and generation speed, outperforming many previous GAN vocoders while being far faster than...
    Downloads: 1 This Week
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  • 25
    LiVES

    LiVES

    LiVES is a Video Editing System. It is designed to be simple to use, y

    LiVES mixes realtime video performance and non-linear editing in one professional quality application. It is designed to be simple to use, yet powerful. It is small in size, yet it has many advanced features. Using LiVES, you can start editing and making video right away, without having to worry about formats, frame sizes, or framerates. It is a very flexible tool which is used by both professional VJ's and video editors - mix and switch clips from the keyboard, use dozens of realtime...
    Downloads: 11 This Week
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