Search Results for "random" - Page 4
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Showing 1057 open source projects for "random"
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atpbar
Progress bars for threading and multiprocessing tasks on terminal
Progress bars for threading and multiprocessing tasks on the terminal and Jupyter Notebook. atpbar can display multiple progress bars simultaneously growing to show the progresses of iterations of loops in threading or multiprocessing tasks. atpbar can display progress bars on the terminal and Jupyter Notebook. atpbar can be used with Mantichora. atpbar started its development in 2015 as part of Alphatwirl. atpbar prevented physicists from terminating their running analysis codes, which... -
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WS2812FX
WS2812 FX library for Arduino and ESP8266
...Use the segment() function to program each segment's mode, color, speed, and direction (normal or reverse). Note, some effects make use of more than one color (up to three) and are programmed by specifying an array of colors. Random color introduced alternating from start and end of strip. Alternating white/red/black pixels running. Strobe effect with different strobe count and pause, controlled by speed setting. Classic Strobe effect. Cycling through the rainbow. -
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s3fs
FUSE-based file system backed by Amazon S3
...Large subset of POSIX including reading/writing files, directories, symlinks, mode, uid/gid, and extended attributes. Compatible with Amazon S3, and other S3-based object stores. Allows random writes and appends, large files via multi-part upload, and renames via server-side copy. User-specified regions, including Amazon GovCloud. Many systems provide pre-built packages. s3fs supports the standard AWS credentials file stored in the credentials folder. Alternatively, s3fs supports a custom passwd file. The default location for the s3fs password file can be created. ... -
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Faker for Python
Python package that generates fake data for you
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Starting from version 4.0.0, Faker dropped support for Python 2 and from version 5.0.0 only supports Python 3.6 and above. If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating... -
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gplearn
Genetic Programming in Python, with a scikit-learn inspired API
...Symbolic regression is a machine learning technique that aims to identify an underlying mathematical expression that best describes a relationship. It begins by building a population of naive random formulas to represent a relationship between known independent variables and their dependent variable targets in order to predict new data. Each successive generation of programs is then evolved from the one that came before it by selecting the fittest individuals from the population to undergo genetic operations. -
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css-doodle
A web component for drawing patterns with CSS
<css-doodle /> is based on Shadow DOM v1 and Custom Elements v1. You can use it on all major browsers right now without polyfills. The component will generate a grid of divs by the rules (plain CSS) inside it. You can easily manipulate those cells using CSS to come up with a graphic pattern or an animated graph. The limit is the limit of CSS itself. Download the latest version or include it directly from a CDN. You can also install it from npm and import the module in JavaScript. The syntax... -
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COLA
Clean object-oriented & layered architecture
COLA is the abbreviation of Clean Object-Oriented and Layered Architecture, which stands for "Clean Object-Oriented and Layered Architecture." At present, COLA has developed to COLA 4.0. COLA is divided into two parts, COLA architecture and COLA components. The meaning of architecture is the structure of elements. The COLA architecture was born for this purpose, and its core responsibility is to define a good application structure and provide the best practice of the best application... -
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FLAML
A fast library for AutoML and tuning
FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically. It frees users from selecting learners and hyperparameters for each learner. For common machine learning tasks like classification and regression, it quickly finds quality models for user-provided data with low computational resources. It supports both classical machine learning models and deep neural networks. It is easy to customize or extend. Users can find their... -
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m68k-random-code
MC68000 assembler code for J. Random Hacker (mostly MILO syntax)
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Best-websites-a-programmer-should-visit
Some useful websites for programmers
Best-websites-a-programmer-should-visit is a living, community-curated directory of links that programmers consistently find useful throughout their careers. Rather than being a random bookmark dump, it organizes resources into practical categories such as algorithms, competitive programming, reading materials, podcasts, newsletters, interview prep, design, security, performance, and more. The list aims to reduce the “what should I learn next?” friction by pointing you to high-signal, time-tested tutorials, references, and tools. ... -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
...Users write Python-like code (via DataFrame APIs or SQL strings) to express their transformations; behind the scenes, tasks are scheduled (often via Ray) and pushed into DuckDB instances operating on partitioned data. Because the storage layer (3FS) is optimized for random access and high throughput, smallpond can shuffle data, repartition, and manage intermediate results across nodes. -
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PLT (Programming Languages Theory)
Programming Language Theory
...It spans foundational topics like lambda calculus, type systems, interpreters, compilers, and formal semantics, while also pointing to contemporary areas such as effect systems, dependent types, and verification. Each section clusters materials by theme so learners can build understanding step by step instead of grazing at random. The list emphasizes primary sources and high-quality lectures, encouraging readers to engage with rigorous treatments rather than superficial summaries. It’s designed to serve both as a starting guide for newcomers and as a reference index for experienced practitioners, filling in gaps. By treating PL theory as an accessible, progressive curriculum, the repository lowers the barrier to serious study without diluting the subject. -
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buku
Personal mini-web in text
...Search bookmarks instantly with multiple search options, including regex and a deep scan mode (handy with URLs). It can look up broken links on Wayback Machine. There's an Easter Egg to revisit random bookmarks. There's no tracking, hidden history, obsolete records, usage analytics or homing. To get started right away, jump to the Quickstart section. buku has one of the best documentation around. The man page comes with examples. -
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Professional Programming
A collection of learning resources for curious software engineers
...The repository is especially helpful for self-taught developers or those transitioning from junior to senior roles who want a structured reading roadmap instead of random blog posts. -
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XiangShan
Open-source high-performance RISC-V processor
...A modular microarchitecture separates frontend, backend, and memory subsystems with coherent caches and scalable interconnects, enabling multi-core configurations. The project invests heavily in verification: differential testing against reference models, extensive random instruction tests, and full software stacks (bootloaders, Linux) to validate correctness under realistic workloads. Tooling around the core (build scripts, simulators, waveform/debug support) lowers the barrier for academics and industry contributors to experiment and extend. -
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brms
brms R package for Bayesian generalized multivariate models using Stan
brms is an R package by Paul Bürkner which provides a high-level interface for fitting Bayesian multilevel (i.e. mixed effects) models, generalized linear / non-linear / multivariate models using Stan as the backend. It allows R users to specify complex Bayesian models using formula syntax similar to lme4 but with far more flexibility (distributions, link functions, hierarchical structure, nonlinear terms, etc.). It supports model diagnostics, posterior predictive checking, model comparison,... -
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SeleniumBase
A framework for browser automation and testing with Selenium
...No More Flaky Tests! SeleniumBase methods automatically wait for page elements to finish loading before interacting with them (up to a timeout limit). This means you no longer need random time.sleep() statements in your scripts. SeleniumBase includes an automated/manual hybrid solution called MasterQA, which speeds up manual testing by having automation perform all the browser actions while the manual tester handles validation. -
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Pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
...GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images. Every-day common routines (fix/restore random seed, filesystem utils, metrics). Losses: BinaryFocalLoss, Focal, ReducedFocal, Lovasz, Jaccard and Dice losses, Wing Loss and more. Extras for Catalyst library (Visualization of batch predictions, additional metrics). By design, both encoder and decoder produces a list of tensors, from fine (high-resolution, indexed 0) to coarse (low-resolution) feature maps. ... -
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satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful please give it a star and consider sponsoring it. ... -
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RBush
High-performance JavaScript R-tree-based 2D spatial index
...Spatial index is a special data structure for points and rectangles that allows you to perform queries like "all items within this bounding box" very efficiently (e.g. hundreds of times faster than looping over all items). It's most commonly used in maps and data visualizations. The demos contain visualization of trees generated from 50k bulk-loaded random points. Open web console to see benchmarks; click on buttons to insert or remove items; click to perform search under the cursor. An optional argument to RBush defines the maximum number of entries in a tree node. 9 (used by default) is a reasonable choice for most applications. Higher value means faster insertion and slower search, and vice versa. -
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EnTT
A fast and reliable entity component system (ECS) and much more
EnTT is a header-only, tiny and easy to use library for game programming and much more written in modern C++. Among others, it's used in Minecraft by Mojang, the ArcGIS Runtime SDKs by Esri and the amazing Ragdoll. The entity-component-system (also known as ECS) is an architectural pattern used mostly in game development. This project started off as a pure entity-component system. Over time the codebase has grown as more and more classes and functionalities were added. Statically generated... -
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Xs Builds
Random Rom Builds for Poco F1,Redmi Note 4/4x,Poco F3
You will find random rom builds for beryllium,mido,alioth -From a newbie :)
