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Showing 11 open source projects for "box"
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1
WeasyPrint
The awesome document factory
...Creating high-quality digital documents requires features that you love to use as readers, tables of contents, links, annotations, optimized images, attachments, WeasyPrint provides many features out of the box, and even gives you the possibility to add your own ways to customize your PDF files. Digital fonts are finely tuned pieces of artwork. To give to your documents the subtle touch they deserve, carefully choose the options you want, kerning, ligatures, old-style numbers, tabular figures, ordinals, etc. -
2
rich
Rich is a Python library for rich text and beautiful formatting
The Rich API makes it easy to add color and style to terminal output. Rich can also render pretty tables, progress bars, markdown, syntax highlighted source code, tracebacks, and more, out of the box. Rich is a Python library for rich text and beautiful formatting in the terminal. Rich works with Linux, OSX, and Windows. True color/emoji works with new Windows Terminal, classic terminal is limited to 16 colors. Rich requires Python 3.7 or later. Effortlessly add rich output to your application, you can import the rich print method, which has the same signature as the builtin Python function. ... -
3
BayesianOptimization
A Python implementation of global optimization with gaussian processes
BayesianOptimization is a Python library that helps find the maximum (or minimum) of expensive or unknown objective functions using Bayesian optimization. This technique is especially useful for hyperparameter tuning in machine learning, where evaluating the objective function is costly. The library provides an easy-to-use API for defining bounds and optimizing over parameter spaces using probabilistic models like Gaussian Processes. -
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Pants Build System
The Pants Build System
...It uses a combination of static analysis and sensible defaults to infer most of that information on the fly. So your BUILD files can be very minimal — and even those can be generated and updated for you. Pants has out-of-the-box support for multiple dependency resolves and their corresponding lockfiles, so you can have hermetic, repeatable builds that are resilient to supply chain attacks, even in complex situations where you have multiple versions of the same dependencies in different parts of the codebase. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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5
Face Alignment
2D and 3D Face alignment library build using pytorch
...While not required, for optimal performance(especially for the detector) it is highly recommended to run the code using a CUDA-enabled GPU. While here the work is presented as a black box, if you want to know more about the intrisecs of the method please check the original paper either on arxiv or my webpage. -
6
Nevergrad
A Python toolbox for performing gradient-free optimization
Nevergrad is a Python library for derivative-free optimization, offering robust implementations of many algorithms suited for black-box functions (i.e. functions where gradients are unavailable or unreliable). It targets hyperparameter search, architecture search, control problems, and experimental tuning—domains in which gradient-based methods may fail or be inapplicable. The library provides an easy interface to define an optimization problem (parameter space, loss function, budget) and then experiment with multiple strategies—evolutionary algorithms, Bayesian optimization, bandit methods, genetic algorithms, etc. ... -
7
geometry3d
A Python library for geometric objects in 3 dimentions
Implemented classes of 3d objects: * Vector * Point * Line * Plane * LineSegment Yet incompletely implemented classes: * Triangle * Disk (closed circle) * Union (a collection of 3d objects) Each object has methods for finding its sizes, containing box or containing sphere. It finds intersection and distance or closest to another object part of itself. It also can tell if it contains the other object or is it contained by that. Where appropriate, it's easy to check orthogonality and parallelism. Vectors are sub-typed from numpy ndarray class. Extensive unit tests are included. ... -
8
Neural Network Intelligence
AutoML toolkit for automate machine learning lifecycle
Neural Network Intelligence is an open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate feature engineering, neural architecture search, hyperparameter tuning and model compression. The tool manages automated machine learning (AutoML) experiments, dispatches and runs experiments'... -
9
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. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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10
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. ... -
11
Jython Simple Dialogs
Simple UI Dialog boxes much like 'zenity' project for jython
I have wanted very simple dialog box implementation for asking user questions, such as what is intended by the 'zenity' (or previous XDialog) type of interfaces. After looking at options I settled on using swing based UI components and it is based on the information available from: https://wiki.python.org/jython/SwingExamples The specific use of this code is targeted to user inputs for simple activities and it appears as if there isn't any single 'aggregator' and I tried to provide this functionality. ...
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