Search Results for "box" - Page 6
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Showing 226 open source projects for "box"
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COCO Annotator
Web-based image segmentation tool for object detection & localization
...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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GROWbox Supervisor System (GROWSS)
Automated Plant Environment Growing System using Raspberry Pi
GROWbox Supervisor System (GROWSS) is a grow box or grow cabinet environmental controller. GROWSS uses a Raspberry Pi (RPI) & Grove sensors to monitor and control the environment in your grow box or cabinet. Environmental factors such as temperature, humidity, soil moisture, & smoke (from fire) are monitored and displayed on a terminal connected to the RPI & on a mobile app. -
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SaveTube
Youtube-dl GUI Wrapper
...SaveTube is a command-line as well as GUI program to download videos from YouTube.com and a few more sites. It requires youtube-dl and the Python interpreter, version 3.2+, also it is not platform specific. It should work on your Unix box, on Windows or on macOS. -
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VoteNet
Deep Hough Voting for 3D Object Detection in Point Clouds
...Once cluster centers are formed, the network regresses bounding boxes around them and classifies them. VoteNet works end-to-end: it learns the voting, aggregation, and bounding-box regression components jointly, enabling strong detection accuracy without relying on 2D proxies or voxelization. The codebase includes data preparation for indoor datasets (SUN RGB-D, ScanNet), training and evaluation scripts, and demo utilities to visualize predicted boxes over point clouds. -
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HDL Checker
Repurposing existing HDL tools to help writing better code
HDL Checker is a language server that wraps VHDL/Verilg/SystemVerilog tools that aims to reduce the boilerplate code needed to set things up. It supports Language Server Protocol or a custom HTTP interface; can infer the library VHDL files likely to belong to, besides working out mixed language dependencies, compilation order, interpreting some compiler messages and providing some (limited) static checks. Notice that currently, the unused reports has caveats, namely declarations with the... -
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EverydayWechat
Python tool that automates WeChat messages, replies, & group utilities
...In addition to personal messaging automation, the project includes a group assistant that can respond to queries and provide useful information within chat groups. These group utilities can retrieve data such as weather conditions, calendar details, garbage classification information, movie box office statistics, delivery tracking updates, and air quality reports. -
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C++QED
A framework for simulating open quantum dynamics
...The basic idea is to allow users to build arbitrarily complex interacting quantum systems out of free subsystems and interactions (elements), and simulate their time evolution with a number of available time-evolution drivers. C++QEDv2 specifies a small grammar to describe composite quantum systems. Apart from providing a number of elements out of the box, there are tools which facilitate the implementation of new elements. These are being added continuously, as the need arises. The principal concept of the design of C++QEDv2 is that all information available at compile time should be processed as such, with the help of TMP. The framework is very sensitive to performance both in computer resources and coding/design. -
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Orator
The Orator ORM provides a simple yet beautiful ActiveRecord implement.
The Orator ORM provides a simple yet beautiful ActiveRecord implementation. The Orator ORM is based on conventions to avoid the hassle of defining every single aspect of your models. It is inspired by the database part of the Laravel framework, but largely modified to be more pythonic. All you need to get you started is the configuration describing your database connections and passing it to a DatabaseManager instance. If you have multiple databases configured you can specify which one is... -
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ELI5
A library for debugging/inspecting machine learning classifiers
...It supports several popular machine learning frameworks including scikit-learn, XGBoost, LightGBM, CatBoost, and Keras. The library allows users to inspect model weights, analyze decision trees, and compute permutation feature importance for black-box models. It also provides specialized tools such as TextExplainer, which can highlight important words in text classification tasks to explain why a model produced a particular prediction. Additionally, the library integrates explanation algorithms such as LIME to interpret predictions from arbitrary machine learning models. -
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MMF
A modular framework for vision & language multimodal research
...MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that brings all of its power in your hands. MMF is not strongly opinionated. So you can use all of your PyTorch knowledge here. MMF is created to be easily extensible and composable. Through our modular design, you can use specific components from MMF that you care about. Our configuration system allows MMF to easily adapt to your needs. -
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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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UniCC LALR(1) Parser Generator
Parser generator, targetting C, C++, Python, JavaScript, JSON and XML
...Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML. -
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automl-gs
Provide an input CSV and a target field to predict, generate a model
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model definition interface to getting an optimized model and data transformation pipeline in multiple popular ML/DL frameworks, with minimal Python dependencies (pandas + scikit-learn + your framework of choice). automl-gs is designed for citizen data scientists and engineers without a deep statistical background under the philosophy that you don't need to know any modern data preprocessing and machine learning engineering techniques to create a powerful prediction workflow. -
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Offensive Web Testing Framework
Offensive Web Testing Framework (OWTF), is a framework
OWASP OWTF is a project focused on penetration testing efficiency and alignment of security tests to security standards like the OWASP Testing Guide (v3 and v4), the OWASP Top 10, PTES and NIST so that pentesters will have more time to see the big picture and think out of the box. More efficiently find, verify and combine vulnerabilities. Have time to investigate complex vulnerabilities like business logic/architectural flaws or virtual hosting sessions. Perform more tactical/targeted fuzzing on seemingly risky areas. Demonstrate true impact despite the short timeframes we are typically given to test. The tool is highly configurable and anybody can trivially create simple plugins or add new tests in the configuration files without having any development experience. ... -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
...While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. These can be used to create interactive time series, scatter, and box plot charts. -
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CMD Plot Tool
Calculates and plots Colour Magnitude Diagrams from Astronomical data
...Development using Python, OOP and a formal software development lifecycle model (Agile) allowed for the creation of an application that can be deployed on multiple systems. It works “out of the box” and does not require any installation of development environments, additional libraries or resetting of system paths. The tool is available as a single application/executable file, with the source code, on Sourceforge. Sample data is also bundled, to demonstrate its complete functionality to users. Other functionality within this application is the ability to convert DAOPHOT magnitude files to CSV format. -
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LabelImg
Graphical image annotation tool and label object bounding boxes
...Click 'Change default saved annotation folder' in Menu/File. Click 'Open Dir'. Click 'Create RectBox'. Click and release left mouse to select a region to annotate the rect box. You can use right mouse to drag the rect box to copy or move it. The annotation will be saved to the folder you specify. You can refer to the hotkeys to speed up your workflow. -
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Raven Python
Raven is the legacy Python client for Sentry
...It tracks errors and exceptions that happen during the execution of your application and provides instant notification with detailed information needed to prioritize, identify, reproduce, and fix each issue. It provides full out-of-the-box support for many of the popular Python frameworks, including Django, and Flask. Raven also includes drop-in support for any WSGI-compatible web application. -
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Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). The concept of model interpretability in the field of machine learning is still new, largely subjective, and, at times, controversial. Model interpretation is the ability to explain and validate the decisions of a predictive model to enable fairness, accountability, and transparency in algorithmic decision-making. ... -
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Deep Reinforcement Learning for Keras
Deep Reinforcement Learning for Keras.
keras-rl implements some state-of-the-art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras. Furthermore, keras-rl works with OpenAI Gym out of the box. 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. ... -
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OTPspot
Wireless hotspot with OTP captive portal
Run a captive portal on your raspberry (or any linux box) to allow your guests to register before accessing your Wifi at home. Users will be requested for an OTP code that you can generate on your phone through the Google Authenticator/Authy app. Get rid of captive portal's static username and password, without the need for a complex radius server. OTPspot (since version 2.0) is fully compatible with nodogsplash and can run as a FAS service. -
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NoOra is a database deployment tool which can be used to automate the database deployment cycle and is designed for agile and or devops teams. The supported database platforms are Oracle and Mysql. The support for Postgresql is work in progress. Feedback is more then welcome.
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youtube-dlG
A cross platform front-end GUI of the popular youtube-dl
...You can change the number of max parallel downloads by editing the "workers_number" option in your settings.json file. You can add extra youtube-dl command line options in the commands box under the Options>Extra tab. You can use your own version of youtube-dl by editing the "youtubedl_path" option in your settings.json file and make it point to your own binary (e.g. /usr/local/bin). -
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SpiderFoot
Open Source Intelligence Automation.
...Its goal is to automate the process of gathering intelligence about a given target, which may be an IP address, domain name, hostname or network subnet. SpiderFoot can be used offensively, i.e. as part of a black-box penetration test to gather information about the target or defensively to identify what information your organisation is freely providing for attackers to use against you. -
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Box is a language specifically designed to make vector graphics easy plus a integrated development environment which facilitates the use of the language by interactively showing the graphical output. Box combines the convenience of drawing figures with the mouse with the convenience of describing them with a language tailored for vector graphics.
