Search Results for "can" - Page 98
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Showing 5116 open source projects for "can"
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Sudoku Maker is a generator for Sudoku number puzzles. It uses a genetic algorithm internally, so it can serve as an introduction to genetic algorithms. The generated Sudokus are usually very hard to solve -- good for getting rid of a Sudoku addiction.
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Ultroid
Telegram UserBot, Built in Python Using Telethon lib
...Ultroid has minimal amount of plugins (just the necessary ones) in the main repository, and all the other less-useful stuff in the addons repository. This facilitates quick deployments and lag-free use. Ultroid can install any plugin from the most of the other 'userbots' without any issue. -
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DecryptLogin
Python library providing APIs for automated website login workflows
...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. It also provides example utilities and automation scripts demonstrating how the login APIs can be used in practical scenarios. -
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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... -
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Pattern
Web mining module for Python, with tools for scraping
...The project integrates multiple capabilities into a single framework that allows developers to collect, process, and analyze textual data from the web. It includes modules for web scraping and crawling that can retrieve information from sources such as social media platforms, search engines, and online knowledge bases. In addition to data mining features, the library offers natural language processing functionality including part-of-speech tagging, sentiment analysis, and n-gram extraction. The framework also includes machine learning algorithms that support classification, clustering, and vector space modeling for text analysis tasks. ... -
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Elephas
Distributed Deep learning with Keras & Spark
...Elephas brings deep learning with Keras to Spark. Elephas intends to keep the simplicity and high usability of Keras, thereby allowing for fast prototyping of distributed models, which can be run on massive data sets. Elephas implements a class of data-parallel algorithms on top of Keras, using Spark's RDDs and data frames. Keras Models are initialized on the driver, then serialized and shipped to workers, alongside with data and broadcasted model parameters. Spark workers deserialize the model, train their chunk of data and send their gradients back to the driver. ... -
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ipfs-css
Single-purpose css class names and font-face config to IPFS up your UI
The single-purpose CSS class names and @font-face config to IPFS up your UI. Once you've installed ipfs-css from npm, the CSS and SCSS files and the web-fonts are available from your node_modules/ipfs-css directory. You can import the theme.json file which can be used with a ThemeProvider component. All the CSS atoms are generated from that, so you can be sure you're using the same values. While ipfs.css contains everything you need, if you prefer variables for fonts, colors, and gradients, these are there for you in theme.scss. -
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Auto-PyTorch
Automatic architecture search and hyperparameter optimization
...The newest features in Auto-PyTorch for tabular data are described in the paper "Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL" (see below for bibtex ref). Details about Auto-PyTorch for multi-horizontal time series forecasting tasks can be found in the paper "Efficient Automated Deep Learning for Time Series Forecasting" (also see below for bibtex ref). -
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AI Chatbots based on GPT Architecture
Training & Implementation of chatbots leveraging GPT-like architecture
...This repo is a simple attempt to help solve that problem. ai-msgbot covers the practical use case of building a chatbot that sounds like you (or some dataset/persona you choose) by training a text-generation model to generate conversation in a consistent structure. This structure is then leveraged to deploy a chatbot that is a "free-form" model that consistently replies like a human. Some of the trained models can be interacted with through the HuggingFace spaces and model inference APIs on the ETHZ Analytics Organization page on huggingface.co. -
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searx
Privacy-respecting metasearch engine
...It’s like having your very own private search engine. It has secure, encrypted connections and does not use cookies by default, giving you the assurance that your searches are 100% private and secure. Searx can also be used over Tor, providing you online anonymity. Searx can be easily integrated with any search engine of your choice. Start searching with absolute privacy and peace of mind with Searx! -
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Opta
The next generation of Infrastructure-as-Code
...It's built on top of Terraform, and designed so engineers aren’t locked in – anyone can write custom Terraform or even take the Opta-generated Terraform and work independently. -
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AnimeGAN
A simple PyTorch Implementation of Generative Adversarial Networks
...The images are generated from a DCGAN model trained on 143,000 anime character faces for 100 epochs. Manipulating latent codes enables the transition from images in the first row to the last row. The images are not clean, some outliers can be observed, which degrades the quality of the generated images. Anime-style images of 126 tags are collected from danbooru.donmai.us using the crawler tool gallery-dl. The images are then processed by an anime face detector python-anime face. The resulting dataset contains ~143,000 anime faces. Note that some of the tags may no longer be meaningful after cropping, i.e. the cropped face images under the 'uniform' tag may not contain visible parts of uniforms. -
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Yellowbrick
Visual analysis and diagnostic tools to facilitate ML selection
Yellowbrick extends the Scikit-Learn API to make model selection and hyperparameter tuning easier. Under the hood, it’s using Matplotlib. Yellowbrick is a suite of visual diagnostic tools called "Visualizers" that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow. -
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grab-site
Web crawler for archiving and backing up sites into WARC archives
...Internally, the crawler uses a fork of the wpull engine to fetch and process web pages efficiently during large-scale crawls. grab-site includes a built-in dashboard that displays real-time crawl activity, including which URLs are currently being processed and how many remain in the queue. Users can dynamically apply ignore patterns during an active crawl, allowing them to skip problematic or unnecessary URLs that could slow down or block the archiving process. grab-site also provides predefined ignore sets for common site structures such as forums and other complex web platforms. Additional mechanisms like duplicate page detection help avoid re-crawling identical content. -
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ceph-ansible
Ansible playbooks to deploy Ceph, the distributed filesystem
...The Ansible inventory file defines the hosts in your cluster and what roles each host plays in your Ceph cluster. The default location for an inventory file is /etc/ansible/hosts but this file can be placed anywhere and used with the -i flag of ansible-playbook. You must have a playbook to pass to the ansible-playbook command when deploying your cluster. There is a sample playbook at the root of the ceph-ansible project called site.yml.sample. This playbook should work fine for most usages, but it does include by default every daemon group which might not be appropriate for your cluster setup. -
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3270font
A 3270 font in a modern format
...The .sfd font file contains a x3270 bitmap font that was used for guidance. The "source" file is edited using FontForge. You'll need it if you want to generate fonts for your platform. On most civilized operating systems, you can simply apt-get install fontforge, yum install fontforge or even port install fontforge. If you are running Windows, you'll probably need something like WSL or Cygwin, but, in the end, the font works correctly (with some very minor hinting issues). The easiest way to generate the font files your computer can use is to run make all (if you are running Ubuntu or Debian, make install will install them too). ... -
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rocket-bi
An open-source web-based self-service BI for analytical databases
...It enables data analysts and business users alike to easily integrate different data sources, perform advanced data analysis, ad hoc, and more. With an easy-to-use editor, you can create personalized reports, build interactive business dashboards and generate actionable business insights. Rocket.BI also allows collaboration as working together with other people in the organization. -
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pyntcloud
pyntcloud is a Python library for working with 3D point clouds
...Point clouds are one of the most relevant entities for representing three dimensional data these days, along with polygonal meshes (which are just a special case of point clouds with connectivity graph attached). In its simplest form, a point cloud is a set of points in a cartesian coordinate system. Accurate 3D point clouds can nowadays be (easily and cheaply) acquired from different sources. pyntcloud enables simple and interactive exploration of point cloud data, regardless of which sensor was used to generate it or what the use case is. Although it was built for being used on Jupyter Notebooks, the library is suitable for other kinds of uses. pyntcloud is composed of several modules (as independent as possible) that englobe common point cloud processing operations. -
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dupeGuru
Find duplicate files
...On some linux systems pyrcc5 is not put on the path when installing python3-pyqt5, this will cause some issues with the resource files (and icons). These systems should have a respective pyqt5-dev-tools package, which should also be installed. The presence of pyrcc5 can be checked with which pyrcc5. Debian based systems need the extra package, and Arch does not. Scanning by filename or content with fuzzy matching to catch similar filenames. -
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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. -
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ety
A Python module to discover the etymology of words
ety is a Python library and command-line tool designed to explore and retrieve the etymological origins of words by analyzing linguistic data and relationships between languages. It allows users to query a word and obtain its historical roots, including intermediate forms across different languages and time periods. The tool can generate recursive etymology chains as well as tree structures that visually represent how a word evolved over time. It is built as both a reusable module and a CLI utility, making it suitable for integration into other applications or standalone use. The project relies on structured datasets that map relationships between words and languages, enabling systematic exploration of linguistic evolution. ... -
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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. -
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Bloxs
Build dashboards in Jupyter Notebook with numeric and chart boxes
Bloxs is a simple Python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook. -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
...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. The project also includes demo scripts that visualize learning curves and allow students to observe policy improvement over training iterations. By using TensorFlow as the backbone, it highlights practical considerations such as tensor shapes, loss computation, optimization steps, and batching in an RL context. -
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Amazon Braket Ocean Plugin
A Python plugin for using Ocean with Amazon Braket
...Make sure that your AWS account is onboarded to Amazon Braket. The Amazon Braket Ocean Plugin can be installed with pip. You can also install from source by cloning this repository and running a pip install command in the root directory of the repository. This package provides samplers which use Braket solvers. These samplers extend abstract base classes provided in Ocean's dimod and thus have the same interfaces as other samplers in Ocean.
