Search Results for "git:/git.code.sf.net/p/docfetcher/code" - Page 62
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6521 projects for "git:/git.code.sf.net/p/docfetcher/code" with 1 filter applied:
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Get full visibility and control over your tasks and projects with Wrike.Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
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The AI-powered unified PSA-RMM platform for modern MSPs.SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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Cross-platform Java executable wrapper for creating lightweight Windows native EXEs. Provides advanced JRE search, application startup configuration and better user experience.
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
The ml-surveys repository is a broad, maintainable overview of survey papers across many subfields of machine learning — including deep learning, NLP, computer vision, graph ML, reinforcement learning, recommendation systems, embeddings, meta-learning, and more. Instead of diving into code or experiments, this repo gathers authoritative survey and review articles, summarizing the state-of-the-art, trends, challenges, and directions within each subdomain. For someone trying to get up to speed with a new ML subfield — say graph neural networks or meta-learning — ml-surveys offers a curated reading list of foundational and recent works, helping map the landscape quickly. ... -
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CommandlineConfig
A library for users to write configurations in Python
CommandlineConfig is a lightweight Python library designed to simplify managing configuration parameters for experiments and applications, especially in research workflows that require frequent tweaking of hyperparameters. It lets you define configuration in familiar Python dictionaries or JSON files and then access nested parameters via dot notation in code, improving readability and reducing boilerplate. One of its core strengths is the ability to override configuration values directly from the command line, making it convenient to run many experimental variants without editing files repeatedly. The library supports arbitrarily deep nested structures, type handling, enumerated value constraints, and even tuple types, which are common in ML experiment setups. ... -
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cortex
Production infrastructure for machine learning at scale
...Cortex handles many operational challenges associated with deploying AI systems, such as managing dependencies, orchestrating data pipelines, and scaling services under load. Developers can define machine learning pipelines as code using declarative configuration files, which simplifies the process of managing complex ML workflows. The platform supports integration with cloud environments and container orchestration systems so that applications can scale dynamically based on demand. It is designed to help teams focus on building machine learning logic rather than managing infrastructure details. -
Our xDM platform turns business users into data champions.It empowers organizations of any size to build trusted data applications quickly, with fast time to value using a single software platform for governance, master data, reference data, data quality, enrichment, and workflows.
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build-web-application-with-golang
A golang ebook intro how to build a web with golang
This repository is an e-book and tutorial code base that demonstrates how to build a web application in Go (Golang). It provides step-by-step guidance, sample code, explanations, and best practices around routing, handlers, templates, sessions, form handling, file upload, JSON APIs, authentication, and more, intended for learners of Go web development. Code examples for routing, handlers, and HTTP request/response handling. -
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Spatie Data Transfer Object
Data transfer objects with batteries included
...It ensures data consistency by enforcing declared types and immutability. DTOs are commonly used to encapsulate and validate data structures, especially in service layers and APIs, helping improve code clarity and reducing the risk of bugs from unexpected data shapes. -
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Python ML Jupyter Notebooks
Practice and tutorial-style notebooks
...The project provides numerous examples and tutorials covering classical machine learning techniques such as regression, classification, clustering, and dimensionality reduction. It includes code implementations that show how to build models using popular libraries like scikit-learn, NumPy, pandas, and Matplotlib. The repository is designed to help learners understand both the theory and practical implementation of machine learning algorithms through step-by-step code examples. Many notebooks include explanations of algorithm behavior, data preparation techniques, and evaluation methods for machine learning models. ... -
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Reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI
...The project collects popular approaches such as dynamic programming, Monte Carlo methods, temporal difference learning, Q-learning, SARSA, deep Q-networks, and policy gradient techniques, often demonstrated with Python and OpenAI Gym environments so users can experiment with agents learning in simulated tasks. For each algorithm category, the repository pairs conceptual descriptions with runnable code and often illustrated exercises that help solidify understanding by bridging theory with practice. It’s structured to serve learners progressing from basic tabular methods to function approximation and deep learning extensions, making it suitable for students, researchers, or practitioners exploring reinforcement learning fundamentals. -
OpManager the network monitoring software used by over 1 million IT adminsManageEngine OpManager is a powerful network monitoring software that provides deep visibility into the performance of your routers, switches, firewalls, load balancers, wireless LAN controllers, servers, VMs, printers, and storage devices. It is an easy-to-use and affordable network monitoring solution that allows you to drill down to the root cause of an issue and eliminate it.
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JavaScript and React Patterns
Repo related to the FrontendMasters course on JavaScript and React
...Each example is concise and focused, making it easy to apply to real codebases without wading through long essays. The result is a practical field guide you can reference during code reviews or when sketching a component architecture. -
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git-cz
Semantic Git commits
git-cz is a command-line tool designed to guide developers in writing structured, conventional commits. Rather than manually typing commit messages, this tool prompts you to select commit types, scopes, and write descriptions according to a defined format. It integrates with the popular commitizen ecosystem so that when you run npx git-cz or similar, you are prompted through a workflow instead of free-form message. -
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Python Machine Learning 3rd Ed.
The "Python Machine Learning (3rd edition)" book code repository
Python Machine Learning 3rd Ed. repository contains the complete source code that accompanies the book Python Machine Learning by Sebastian Raschka and collaborators. The project provides implementations of machine learning algorithms and data science workflows described in the book, enabling readers to experiment with real code while studying theoretical concepts. The repository includes Python notebooks and scripts demonstrating techniques such as data preprocessing, classification, regression, clustering, neural networks, and model evaluation. ... -
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DecryptLogin
Python library providing APIs for automated website login workflows
...It focuses on implementing login mechanisms through HTTP requests, allowing developers to programmatically authenticate with supported services without manually replicating complex login flows. It includes modules that handle different authentication modes such as PC login, mobile login, and QR code login depending on what the target platform supports. DecryptLogin supports a wide variety of online services and platforms, including social media sites, developer platforms, cloud services, and other web portals. Developers can integrate these login routines into automation scripts, crawlers, or data collection tools that require authenticated sessions. ... -
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Cancelable Async Flows
Cancelable Async Flows (CAF)
CAF (Cancelable Async Flows) is a small utility that brings cooperative cancellation to JavaScript async workflows. It wraps async generators or promise-returning functions so they can respond to a cancel signal and halt work early, preventing wasted CPU and stray side effects. The library encourages a disciplined pattern: pass a token into your task, periodically check it, and unwind gracefully when cancellation is requested. This approach avoids brittle timeouts and “fire-and-forget” leaks... -
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simdop
Application for simulation of microprogrammed processor DOP
...This simulator also provides text editor with syntax highlighting, autocompleting and finding. The text is real-time compiled and the compiler provides list of labels referencing to the code, detailed compile messages and readable content of control memory. With this simulator you can simulate one clock or large amount of microinstructions of DOP processor. It's easy and user-friendly. -
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SmartThings
Collects custom SmartApps and Device Handlers in Groovy
The SmartThings repository by krlaframboise collects custom SmartApps and Device Handlers (in Groovy) for the SmartThings home automation platform. It provides a library of community-developed automation logic and device support code to extend SmartThings beyond its built-in offerings. Users can deploy these scripts in the SmartThings IDE to customize device behavior, logging, capabilities, dashboards, notifications, etc. Device Handlers (drivers) for extended hardware support. Examples of logging, state tracking, threshold alerts. -
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Code Scanner
Code scanner library for Android, based on ZXing
Code scanner library for Android, based on ZXing. -
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FancyToast-Android
Make your native android Toasts Fancy
...Your dialogue style from the code. Fantasy Tutorial is a simple and lightweight library that helps you create fresh and beautiful introduction displays for your applications without having to write dozens of lines of code. As its name describes it, it is an Android library that can be used to display badges that react like facebook. -
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Log4j mode - a major mode for viewing log files in Emacs - including syntax highlighting, log file filtering, and source code browsing.
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Your online shop
Simple Modern Ecommerce in NodeJs. Using Mongodb.
...Main features: - Modern SPA (Single Page Application) - Easy edition - Quick purchase process - Site pages (About, Contact, ect...) - Themes (components / templates) - Multi-shop - Very light code ** Live Demo: http://youronlineshop.net/sample/ Web administrator login (user/password): webadmin/webadmin Product administrator: productsadmin/productsadmin Orders manager: ordersadmin/ordersadmin ** Video Demo https://youtu.be/PD_olszbGWA --------- ---------- --------- ---------- --- SUPPORT & HOSTING SERVICE: --------- ---------- --------- ---------- --- - Questions and requests: melchorherrera@gmail.com -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
Reinforcement-Learning-with-TensorFlow is an educational repository that walks through key reinforcement learning algorithms implemented in TensorFlow. It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can easily trace how actions, rewards, and model updates connect. ... -
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Pattern Recognition and Machine Learning
Repository of notes, code and notebooks in Python
...The project recreates many of the mathematical concepts and diagrams from the book using executable Jupyter notebooks, allowing readers to experiment directly with the algorithms described in the text. Each section of the repository corresponds to chapters in the book and includes code examples that demonstrate statistical modeling, machine learning methods, and Bayesian inference techniques. These notebooks provide visualizations and computational demonstrations that help clarify complex topics such as probabilistic models, neural networks, kernel methods, and graphical models. The repository also includes implementations of sampling methods, clustering algorithms, and dimensionality reduction techniques used throughout machine learning research. -
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Angular Performance Checklist
Cheatsheet for developing lightning fast progressive Angular apps
Angular Performance Checklist is a practical resource and “cheatsheet” aimed at helping Angular (or AngularJS/Angular-related) developers optimize web application performance, covering both network/load-time optimizations and runtime performance improvements. It outlines actionable recommendations — from bundling and minification, tree-shaking, lazy loading, ahead-of-time (AoT) compilation, resource prefetching, caching and compression, to runtime strategies like change-detection... -
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compileflow
Core business process engine of Alibaba Halo platform
...Specifically, Compileflow is designed to focus on pure memory execution and stateless process engines by converting process files to generate, compile and execute java code. Currently, compileflow powers multiple core systems such as Alibaba's e-commerce stores and transactions. Compileflow allows developers to design their own business processes through the process editor, which will visualize complex business logic, and build a bridge between designers and development engineers. -
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Khue's Homelab
Modern self-hosting framework, fully automated from empty disk
This project utilizes Infrastructure as Code and GitOps to automate provisioning, operating, and updating self-hosted services in my Homelab. It can be used as a highly customizable framework to build your own Homelab. Homelab is a laboratory at home where you can self-host, experiment with new technologies, practice for certifications, and so on. For more information, please see the r/homelab introduction and the Home Operations Discord community (formerly known as k8s-at-home).
