Search Results for "no code" - Page 95
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8537 projects for "no code" with 1 filter applied:
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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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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ResNeXt
Implementation of a classification framework
...The design is modular and homogeneous, making it relatively easy to scale (by tuning cardinality, width, depth) and adopt in existing residual frameworks. The official repository offers a Torch (Lua) implementation with code for training, evaluation, and pretrained models on ImageNet. In practice, ResNeXt models often outperform standard ResNet models of comparable complexity. -
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CodeLite
CodeLite: an open source, cross platform C/C++/PHP and JavaScript IDE
codelite is an open-source, cross platform IDE for the C/C++/PHP and JavaScript programming languages (build and tested on Windows 7, 8, ubuntu >=14.04 plus debian, fedora and openSUSE, and Mac OSX 10.8.4). codelite is distributed under the terms of the GPLv2 license If you need help with codelite, please join our forums at: http://forums.codelite.org Visit our download page at: http://codelite.org/support.php The CodeLite Team -
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TensorFlow Machine Learning Cookbook
Code for Tensorflow Machine Learning Cookbook
...The examples illustrate how TensorFlow operations and tensors can be used to build machine learning pipelines and perform tasks such as regression, classification, and clustering. By combining theoretical explanations with executable code, the project helps developers understand how TensorFlow algorithms operate internally while also providing working examples that can be adapted for real projects. -
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python-is-cool
Cool Python features for machine learning
...By highlighting lesser-known constructs and practical programming patterns, the project helps developers write cleaner and more efficient Python code in real applications. -
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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lwjglbook
Source code of the chapters of the book 3D Game Development with LWJGL
lwjglbook-leg is the companion code repository for the “3D Game Development with LWJGL 3” book, offering a practical learning path for building a 3D game engine in Java using the Lightweight Java Game Library (LWJGL). It covers the implementation of a modern OpenGL-based engine from scratch, guiding readers through key concepts such as rendering, lighting, animation, input handling, and scene management. -
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Machine Learning with TensorFlow
Accompanying source code for Machine Learning with TensorFlow
Machine Learning with TensorFlow is an open repository containing the source code and practical examples that accompany the book Machine Learning with TensorFlow. The project provides numerous code samples demonstrating how to build machine learning models using the TensorFlow framework. These examples illustrate core machine learning concepts such as regression, classification, clustering, and neural networks through practical implementations. -
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PacBot
PacBot (Policy as Code Bot)
Policy as Code Bot (PacBot) is a platform for continuous compliance monitoring, compliance reporting and security automation for the cloud. In PacBot, security and compliance policies are implemented as code. All resources discovered by PacBot are evaluated against these policies to gauge policy conformance. The PacBot auto-fix framework provides the ability to automatically respond to policy violations by taking predefined actions. -
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Viewer
A simple jQuery image viewing plugin. As of v1.0.0
A simple jQuery image viewing plugin. As of v1.0.0, the core code of Viewer is replaced with Viewer.js. -
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TensorFlow Course
Simple and ready-to-use tutorials for TensorFlow
This repository houses a highly popular (~16k stars) set of TensorFlow tutorials and example code aimed at beginners and intermediate users. It includes Jupyter notebooks and scripts that cover neural network fundamentals, model training, deployment, and more, with support for Google Colab. -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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An advanced but user friendly PHP/MySQL based shopping cart system with support for selling digital products, physical products and access to protected membership areas of a website. Includes tons of useful features for online commerce, such as: auctions, penny auctions, affiliate marketing, support for over 60 payment gateways, multi language, multi currency, discounts, loyalty bonuses, shipping calculation, sales tax calculation and much more.
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Node.JS Course
Materials, slides and other goodies from my Node.JS courses
...Security practices—input validation, secrets handling, and least-privilege IAM—are woven into examples instead of tacked on at the end. The curriculum also covers operational concerns like logging, metrics, health checks, and deployment pipelines so students can ship services with confidence. Code samples are opinionated but accessible, showing how to structure modules, controllers, and tests for clarity and changeability. By the end, participants have a working reference implementation they can adapt for real projects, along with a checklist mindset for production readiness. -
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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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qlogtimeliner
Your application log analysis tool.
...It is user responsibility to create rules for log parsing in actionscript (like JavaScript) You need to have latest Qt sdk installed in order to build it from source code. -
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SharpShell
Create Windows Shell Extensions using the .NET Framework
...It is widely used for creating custom integrations within the Windows Explorer environment. Overall, SharpShell simplifies the process of extending Windows functionality through managed code. -
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PsPM
A matlab suite for Psycho-Physiological Modelling
...It includes linear convolution models and non-linear models for SCR, and allows for modelling of other signals, too. A flexible import interface and many utilities make this software a standalone tool. IMPORTANT: As of 04.11.2019, the official code repository for PsPM has been moved to https://github.com/bachlab/PsPM . In order to check the latest releases, discussion and bug reports, please refer to our new repository. Although this website will maintained to provide further releases, there will be no active development on the SVN repository. Thank you for your understanding and for using PsPM. -
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nodejs-dashboard
Telemetry dashboard for node.js apps from the terminal
...It overlays an interactive monitoring interface on top of a running Node process, displaying metrics such as event loop activity, memory usage, and request throughput. The tool can be injected into applications with minimal or no code changes by using Node’s preload flag, making adoption straightforward for developers. Its interface uses Unicode Braille characters to render compact graphs directly in the terminal, creating a highly responsive visual experience. nodejs-dashboard is primarily aimed at local development and debugging rather than production observability, helping engineers quickly identify performance bottlenecks. ... -
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TP-COBOL-DEBUGGER
A COBOL debugger for GnuCOBOL/OpenCOBOL written in GnuCOBOL
A COBOL debugger for GnuCOBOL written in GnuCOBOL. Works with both current GnuCOBOL and old GnuCOBOL/OpenCOBOL 1.1; could be used for other vendors with slightly modifications, too. Take a look at https://gnucobol.altervista.org/tp-cobol-debugger/ -
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Browser diet
The definitive front-end performance guide
Browser diet is a community-driven front-end performance guide presented as a fun, colorful website that explains how to make web pages faster and “lighter.” It collects advice from experienced front-end developers and organizes it into practical sections covering HTML, CSS, JavaScript, images, server configuration, and general best practices. The project was built as a static site powered by DocPad, with content written in Markdown and translated into multiple languages, making it... -
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JavaEETest
Spring, SpringMVC, MyBatis, Spring Boot cases
...The project contains many small self-contained demo modules that demonstrate specific concepts such as dependency injection, MVC routing, ORM mapping, transaction management, caching, security configuration, and database interaction. It provides ready-to-run code that learners can inspect to understand how Java web apps are structured and how these frameworks collaborate under the hood. Tutorials and example code include working with REST APIs, session management, dynamic SQL with MyBatis, annotation-driven Spring configuration, and more advanced features like caching and Spring Security. ... -
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attention
Some attention implements
...Users needing updated implementations are directed toward related layers in the author's bert4keras project. Its main value today is as a concise historical example of early Transformer-style attention code. -
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Deep-Learning-with-PyTorch-Tutorials
Deep Learning and PyTorch Introduction Video Tutorial with Source Code
Deep-Learning-with-PyTorch-Tutorials is a companion repository for an introductory deep learning course built around PyTorch. It provides source code, notebooks, and presentation materials for a practical video-based learning path. The lessons begin with PyTorch setup, tensors, indexing, mathematical operations, gradients, and basic optimization. They then move into neural networks, logistic regression, multilayer perceptrons, CNNs, ResNet, RNNs, LSTMs, autoencoders, VAEs, GANs, graph convolutional networks, and transfer learning. ... -
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IntelliJ Plugins
Open-source plugins included in the distribution of IntelliJ IDEA
IntelliJ-Plugins is a GitHub organization and central repository collection maintained by JetBrains that hosts a vast ecosystem of plugins extending the functionality of IntelliJ-based IDEs, including IntelliJ IDEA, PyCharm, WebStorm, CLion, and more. These plugins range from language support (e.g., for Rust, Go, or SQL) to productivity tools, UI themes, database helpers, VCS integrations, code analysis tools, and domain-specific utilities that tailor the IDE to different development workflows. By hosting plugin source code publicly, JetBrains promotes transparency, community contribution, and shared ownership of tooling that improves developer productivity and integrates niche technologies into world-class IDEs. Developers can explore design patterns, sample implementations, and extension points used by real plugins, learn how to build their own, or contribute enhancements and bug fixes. -
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FreeMarker template engine
Generates text that depends on changing data (like dynamic HTML).
FreeMarker is a template engine. That is, it provides an easy way to generate text (HTML, source code, configuration files, emails, etc.) that depends on changing data. It's designed to separate the rendering/formatting logic (like visual design, HTML issues, etc.) from the backing application logic and technical complexity. It has a flexible API so you can integrate it into your application the way that best fits it. -
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XSLT syntax highlighting
Java based XSLT Processor extension for syntax highlighting
Please note that project moved to GitHub: https://github.com/xmlark/xslthl This is an implementation of syntax highlighting as an extension module for XSLT processors (Xalan, Saxon), so if you have e.g. article about programming written in DocBook, code examples can be automatically syntax highlighted during the XSLT processing phase. -
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Source Map Support
Adds source map support to node.js (for stack traces)
Source Map Support is a Node.js module that enhances stack traces for transpiled or bundled JavaScript by resolving them back to the original source files using source maps. When code is compiled from TypeScript, CoffeeScript, Babel, or bundlers like Webpack, errors normally point to the generated code; this module intercepts V8’s stack trace API and remaps paths and line numbers to their original locations. The output closely mimics Node’s native stack format, so it feels like standard stack traces—but with your original source filenames and line numbers instead of opaque build artifacts. ...
