Search Results for "define" - Page 8
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Showing 232 open source projects for "define"
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molten
A minimal, extensible, fast and productive framework
...Schema instances are automatically serializable and you can pick and choose which fields to exclude from responses and requests. Write clean, decoupled code by leveraging DI. Define components for everything from settings to DB access and business logic, test them in isolation and swap them out as needed. Here we’ve declared a Todo manager whose job it is to store and load Todos in the DB. In order for handlers to be able to request manager instances from the DI system, we also define a component that knows how and when to instantiate a TodoManager. -
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ruia
Async Python framework for fast and flexible web scraping spiders
...Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. It provides a structured approach to building scraping projects through components such as data items, spiders, middleware, and plugins. Developers can define structured fields to extract information from HTML content and process responses asynchronously to improve crawling performance. It also supports middleware and plugin systems that allow customization of request handling, response processing, and additional functionality. -
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NLP Architect
A model library for exploring state-of-the-art deep learning
NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a... -
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googler
Google Search, Google Site Search, Google News from the terminal
...However, it has grown into a very handy and flexible utility that delivers much more. For example, fetch any number of results or start anywhere, limit search by any duration, define aliases to google search any number of websites, switch domains easily... all of this in a very clean interface without ads or stray URLs. The shell completion scripts make sure you don't need to remember any options. googler isn't affiliated to Google in any way. Demo: https://asciinema.org/a/85019 -
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COCO Annotator
Web-based image segmentation tool for object detection & localization
...The annotation process is delivered through an intuitive and customizable interface and provides many tools for creating accurate datasets. Several annotation tools are currently available, with most applications as a desktop installation. Once installed, users can manually define regions in an image and creating a textual description. Generally, objects can be marked by a bounding box, either directly, through a masking tool, or by marking points to define the containing area. COCO Annotator allows users to annotate images using free-form curves. -
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Graph Nets library
Build Graph Nets in Tensorflow
...Graph Nets supports both TensorFlow 1 and TensorFlow 2, working with CPU and GPU environments, and includes educational Jupyter demos for shortest path finding, sorting, and physical prediction tasks. The codebase emphasizes modularity, allowing users to easily define their own edge, node, and global update functions. -
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RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
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nonechucks
Deal with bad samples in your dataset dynamically
...PyTorch's data processing module expects you to rid your dataset of any unwanted or invalid samples before you feed them into its pipeline, and provides no easy way to define a "fallback policy" in case such samples are encountered during dataset iteration. -
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CTS Surveyor
Foot traffic and facial analytics for your business and home
Surveyor is a software solution that monitors its environment via camera and gathers demographic information about the public in the surrounding area, providing important statistics such as number of people passing by as well as providing facial analytics to classify the pedestrians based on their age and gender. The statistical data is stored in a local database and is made available via RESTful API’s, and easy integration with other applications can be accomplished via a WebSocket... -
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ChainerCV
ChainerCV: a Library for Deep Learning in Computer Vision
ChainerCV is a collection of tools to train and run neural networks for computer vision tasks using Chainer. In ChainerCV, we define the object detection task as a problem of, given an image, bounding box-based localization and categorization of objects. Bounding boxes in an image are represented as a two-dimensional array of shape (R,4), where R is the number of bounding boxes and the second axis corresponds to the coordinates of bounding boxes. ChainerCV supports dataset loaders, which can be used to easily index examples with list-like interfaces. ... -
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django-dynamic-scraper
Creating Scrapy scrapers via the Django admin interface
...While preserving many of the features of Scrapy it lets you dynamically create and manage spiders via the Django admin interface. With Django Dynamic Scraper (DDS) you can define your Scrapy scrapers dynamically via the Django admin interface and save your scraped items in the database you defined for your Django project. Since it simplifies things DDS is not usable for all kinds of scrapers, but it is well suited for the relatively common case of regularly scraping a website with a list of updated items (e.g. news, events, etc.) and then dig into the detail page to scrape some more infos for each item. ... -
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Spooky Coder
Auto code generation for many languages.
Quickly define your ORM with the simple Brainstorm format, then instantly create your SQL, Java, PHP, Python, Perl, even C++, etc. code to manage all your object relationships. -
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Gin Config
Gin provides a lightweight configuration framework for Python
...By decorating functions and classes with @gin.configurable, Gin allows their parameters to be overridden using simple configuration files (.gin) or command-line bindings. Users can define default parameter values, scoped configurations, and modular references to functions, classes, or instances, resulting in highly composable and dynamic experiment setups. Gin is particularly popular in TensorFlow and PyTorch projects, where researchers and developers need to tune numerous interdependent parameters across models, datasets, optimizers, and training pipelines. -
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easytrader
Python toolkit for automating and integrating stock trading
...Remote operation mode lets trading functions be exposed outside the local client environment. Its APIs cover account information, positions, orders, balances, and related trading actions. Configuration files define broker or platform-specific behavior, while pywinauto powers desktop-client automation where required. The project is commonly paired with easyquotation for market data and easyquant for higher-level strategy execution. -
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anaGo
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition
anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes essential methods like fit, score, analyze and save/load. For more complex features, you should use the anaGo modules such as models, preprocessing and so on. -
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Deep Reinforcement Learning for Keras
Deep Reinforcement Learning for Keras.
...This means that evaluating and playing around with different algorithms is easy. Of course, you can extend keras-rl according to your own needs. You can use built-in Keras callbacks and metrics or define your own. Even more so, it is easy to implement your own environments and even algorithms by simply extending some simple abstract classes. Documentation is available online. -
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TEACUP
TCP Experiment Automation Controlled Using Python
...TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). ... -
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...Using tray manager you can create your custom menu with sub-levels and launch with one click: - Open one Application - Open more applications at the same time - Open a folder - Open a file with default editor - Open one site or more at the same time and decide with which type of browser has to be opened - Open a CMD with a predefined command to execute - Define a list of applications to be opened at OS startup - Define a list of applications for which has to be created a new independent tray icon - A backup / restore functionality is available - Possibility to customize the theme of the application Youtube channel: https://www.youtube.com/channel/UCEZNZX9ZfG2SU_kAdJrCVEg/videos?sort=dd&view=0&shelf_id
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Archeotes is a backup software designed to be extremely flexible. Define exactly which files you want to save, encrypt, compress, keep old copies, encrypt path, safe delete of obsolete files. Complete and differential backup capability. Easy recovery
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Python Variable Variables Manager
a python manager class for named variables (variable name is variable)
...This is a good idead, however, there are many aspects arising from this: * you'll yourself be responsible for this dictionary, including garbage collection (of in-dict variables) etc. * there's no locality for variable variables, all are global within the dictionary, unless you locally define different dictionaries for this purpose * you are more flexible, e.g. you can decide to overwrite existing variables or, alternatively, to raise an exception on overwriting (e.g. for const variables) * if you want to rename a variable name, you'll have to do it manually * ... Please Find some examples in the Wiki -
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MaeBlok
Rapid web development tool for business applications
You assemble *blocks* in your django template, with each block wired to a tastypie resource, which in turn is mapped to a django model. Each *block* will reside in a dijit ContentPane which you must define in your template. You have a choice of 2 layouts for each *block*, Form or Grid based. Form displays a single record in either a 1, 2 or 3 column layout while Grid displays many rows in a spreadsheet like grid. You can perform edits in place on fields in both layouts. You can define the master-detail relationship between the *blocks* and enblok will automatically display the related detail *block* rows as the user navigates the master *block*'s rows. ... -
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iTag
Tag images using various categories and modifiers
iTag has been designed for researchers that rely on photographic census techniques of animals that are hard to detect via image recognition algorithms and was originally developed for counting Grey Seals in the German wadden sea during March 2013. It has since then been further expanded and has now reached beta status. iTag allows Users to define up to 9 different categories and name them accordingly. In addition, 4 modifiers are available to further increase the options during a tagging session. Users are able to load a series of Images into a session and add tags on objects on these images within previously defined categories and modifiers. Upon ending the session, result files are produced including (if provided by the EXIF data) the gps information for each Picture, the number of objects in each category and a detailed result file that describes each individual object. ... -
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This toolbox generates automatically a vtk-visualization for an ode (Open Dynamics Engine) simulation under Python. You only have to define the simulation space and world and forward these entities to the visualization. That's all... Install also via pip possible: pip install odeViz
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Visual Image Viewer
Visual Image Viewer :: Build using Python
What you will do when you need to manage all your Image files according to what they shows/represent, I am not talking about you, what I also done in past, just select Image files one by one create folder for that kind of Image files and paste into that folder. Now Using this application you just have to define from which PATH you want to work with your Image Files and that's done, and define possible categories for Image files and use your Num-pad keys from 0, 1, 2, 3, and so on.... That Image that you are watching right now, will automatically copied to your defined locations. means if you hit 0 ( Image will automatically copied to your first defined location, ) and so on... -
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Fresh Set of Images
Download images from different sites with an extendable plugin system
This project has moved to github for better collaboration: https://github.com/Mgamerz/Fresh-Set-of-Images This repository is no longer maintained. Fresh Set of Images downloads images from various sites through the use of easy to implement extensions. It stores them into a folder, which you can point your OS' wallpaper directory at to always have a fresh set of images. It is currently under development and is not yet active. Fresh Set of Images was originally named EarthPorn...
