Search Results for "collection" - Page 63
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Showing 4425 open source projects for "collection"
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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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JKCategories
Collection of useful Objective-C Categories extending iOS Frameworks
JKCategories(iOS-Categories), a collection of useful Objective-C Categories extending iOS Frameworks such as Foundation, UIKit, CoreData, QuartzCore, CoreLocation, MapKit Etc. -
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FastaTools
Performs several operations to Fasta protein databases
...For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/fastatools/code/ci/default/tree/README.md Or you can download the Documentation an Tutorial PDF file in the Files section: https://sourceforge.net/projects/fastatools.lp-csic-uab.p/files/FastaTools%20Documentation%20and%20Tutorials.pdf - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., & Abian, J. (2014). A collection of open source applications for mass spectrometry data mining. PROTEOMICS, 14(20), 2275–2279. https://doi.org/10.1002/pmic.201400124 -
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Blazorise
Blazorise is a component library built on top of Blazor
Blazorise is a modern, extensible UI component library designed for building rich web applications using Microsoft’s Blazor framework and the .NET ecosystem. It provides a comprehensive suite of reusable UI components that allow developers to create consistent, responsive, and scalable interfaces without manually implementing common patterns. One of its defining features is its provider-based architecture, which decouples component logic from visual styling, enabling developers to switch... -
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JS Bits
JavaScript concepts with code
JS Bits is an open-source collection of JavaScript concepts explained through concise code examples and clear explanations that serve as a practical learning resource for both beginners and experienced developers. It breaks down essential parts of the language — such as core syntax, quirky behaviors, functions, scope, closures, asynchronous patterns, and commonly misunderstood features — into digestible pieces that make it easier to internalize how JavaScript really works in modern development. ... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Spring Cloud Examples
Spring Cloud learning cases, service discovery, service governance
The Spring Cloud Examples repository appears to be a collection of sample applications and demos that illustrate how to use Spring Cloud and related cloud-native patterns in real-world microservice or distributed-service contexts. It provides working codebases showing how to wire together service discovery, configuration, inter-service communication, and possibly resilience patterns — giving developers a hands-on playground rather than theoretical documentation. -
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RL Baselines Zoo
A collection of 100+ pre-trained RL agents using Stable Baselines
RL Baselines Zoo is a comprehensive training framework and collection of pre-trained RL agents using Stable-Baselines3. It offers tools for training, tuning, and evaluating RL algorithms across many standard environments, including MuJoCo, Atari, and robotics simulations. Designed for reproducible RL research and benchmarking, it includes scripts, hyperparameter presets, and best practices for training robust agents. -
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TArray
Typed Arrays for Tcl
...The primary motivation is to minimize memory usage and parallelize operations when dealing with large data sets. TArray provides a raw array data type that can then be scripted to provide more sophisticated collection structures. -
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BFKit
BFKit is a collection of useful classes and categories to develop Apps
BFKit is a comprehensive library of tools and utilities for iOS development, written in Swift and Objective-C. It offers a wide collection of extensions, helpers, and functionalities that streamline app development and reduce boilerplate code. -
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Analyze
Draven's Blog
analyze is a collection of in-depth source code analyses of popular open source projects, primarily focused on programming languages, compilers, operating systems, and distributed systems. Maintained as a knowledge repository, it contains detailed write-ups that explain the internal mechanisms of complex software systems. The project is designed for developers and researchers who want to deepen their understanding of how widely used technologies are built and maintained. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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research-tips
The WI+RE (Writing Instruction + Research Education)
The WI+RE (Writing Instruction + Research Education) is a collection of open educational resources designed by learners and for learners. Folders with an underscore in front of the name (e.g., _data) are special in GitHub pages. Here's an overview of what some of these folders do on the WI+RE site. -
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sysadmin-util
Tools for Linux/Unix sysadmins
sysadmin-util is a compact collection of small, practical command-line utilities gathered for everyday system administration tasks. The repository contains a variety of single-purpose scripts that solve common problems such as determining file ages, testing SSH connectivity, checking MySQL slave status, expanding IPv6 addresses, sending metrics to Graphite, and working with IP ranges. -
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Opensource
Delivering delightful digital solutions
This repository by tunnckoCore serves as a hub for various open-source projects and initiatives. It includes tools, libraries, and resources aimed at improving developer workflows and promoting open-source collaboration. -
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frontend-interview
The strongest front-end interview guide in the universe
This is a review summary project about preparing for front-end interviews that I have summarized, and the project is updated from time to time. This is not only a strategy for job interviews, but also a collection of front-end ers to examine themselves and achieve breakthroughs. I hope that through this guide, everyone can open up their own lines of Ren and Du, and go further on the road to the front. This warehouse uses a large number of diagrams to convey knowledge. The so-called picture is worth a thousand words. I hope that this kind of graphic expression will make it easier for you to remember some abstract and incomprehensible concepts. ... -
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pdforganiser
Manage your collection of PDF files
PDF Organiser gathers PDF files distributed throughout your system into one place where you can organise them into folders of your choosing. It has minimal dependencies of gtk and json-glib so it is very lightweight and fast with a binary size of less than 45 Kb. -
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Dotfiles (gf3)
Configurations for the tools I use every day
This repository is a personal dotfiles collection (configuration files for shell, editors, and related tools), organized to bootstrap and version-control the author’s development environment. It typically includes files like .zshrc, .vimrc, .gitconfig, and other scripts or plugin configs, plus installation or bootstrap helper scripts. The structure often supports modular overrides (machine-specific or role-specific configs) and may integrate with tools like GNU Stow, chezmoi, or custom symlink automation. ... -
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RL-Stock
Automated stock trading through a simulated training environment
RL-Stock is a reinforcement learning project that explores automated stock trading through a simulated training environment. It is written as an educational experiment rather than a financial product or investment recommendation system. The project includes scripts for collecting stock data, defining a reinforcement learning environment, training an agent, and visualizing results. It focuses on how an agent can learn trading-like behavior through rewards, states, and actions. The repository... -
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LymPHOS2
LymPHOS2 Web-App
...DOI: 10.1021/pr800500r - Ovelleiro, D., Carrascal, M., Casas, V., Abian, J., LymPHOS: design of a phosphosite database of primary human T cells. Proteomics 2009, 9, 3741–3751. DOI: 10.1002/pmic.200800701 - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., Abian, J., A collection of open source applications for mass spectrometry data mining. Proteomics 2014, 20, 2275-2279. DOI: 10.1002/pmic.20140012 -
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Intro to CSS 3D transforms
Introduction to CSS 3D transforms
Intro to CSS 3D transforms is a collection of examples and demonstrations that showcase the capabilities of CSS 3D transforms for creating interactive and visually rich user interfaces. The project provides practical implementations of 3D effects such as rotations, perspective transformations, and animated transitions, helping developers understand how to apply these techniques in real-world applications. -
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frontend-mentor-challenges
My submissions for the Frontend Mentor Challenges
The frontend-mentor-challenges repository contains the author’s submissions to the platform Frontend Mentor — which offers structured UI/UX layout challenges (landing pages, components, form designs) for front-end developers. The codebase shows solutions in HTML, CSS, Javascript, with each challenge typically including an original design file plus the author’s implementation. It’s a great way to practice responsive layouts, CSS grid/flexbox mastery, UI refinement, and build portfolio-worthy... -
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Object Oriented C (oo tools for C)
Object Oriented tools for C
...It implements classes, single class inheritance, multiple inheritance by interfaces and mixins, and exception handling. Ideal for students getting to know OO programming or for systems that lack a C++ compiler. This is a collection of C macros and a small C library. Do not mix with the "ooc programming language" which is a different project at http://ooc-lang.org ! -
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TensorNets
High level network definitions with pre-trained weights in TensorFlow
...Models are written in tf.contrib.layers, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and end-point. Also, it is easy to deploy and expand a collection of pre-processing and pre-trained weights. Readability. With recent TensorFlow APIs, more factoring and less indenting can be possible. For example, all the inception variants are implemented as about 500 lines of code in TensorNets while 2000+ lines in official TensorFlow models. Reproducibility. You can always reproduce the original results with simple APIs including feature extractions. -
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Turkmen localization of the collection of free interactive multimedia for STEM education. Free interactive simulations developed by PhET team at Colorado University help teach multimedia lessons at both secondary and higher education levels. To certain extent, they can replace real lab experiments. Educational applets made by Walter Fendt include fields of physics, mathematics and astronomy.
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piconomix-fwlib
C firmware and documentation for 8/16/32-bit microcontrollers
The foundation of piconomix-fwlib is knowledge and freedom: the knowledge and freedom to use the right microcontroller for the job and not trying to fit a square peg in a round hole. piconomix-fwlib is a collection of C firmware and documentation for microcontrollers to develop code that is vendor and architecture independent (or easier to reuse). It is tough to find the best compromise between lean 8-bit targets, middle-of-the-road 16-bit targets, and resource rich 32-bit targets, but this cross-platform library aims to provide a good start before you are forced to add target specific code and getting locked in. ... -
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UnixShellUtils
basic collection of Unix Shell utilities to build projects on Windows
.... - [SRecord] (http://srecord.sourceforge.net/) a collection of powerful tools for manipulating EPROM load files. -
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation.