Search Results for "dynamicreports-examples" - Page 63
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Showing 3974 open source projects for "dynamicreports-examples"
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Artificial Intelligence for Beginners
12 Weeks, 24 Lessons, AI for All
AI-For-Beginners is a comprehensive open-source educational curriculum designed to introduce learners to the foundations of artificial intelligence through structured lessons and hands-on practice. The repository provides a 12-week program composed of 24 lessons that combine theory, code examples, quizzes, and laboratory exercises. It covers a broad range of topics including neural networks, computer vision, natural language processing, and AI ethics. The curriculum is intentionally beginner-friendly while still exposing learners to widely used frameworks such as TensorFlow and PyTorch. It also supports many languages, making the material accessible to a global audience. ... -
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weixin-java-mp-demo
Based on Spring Boot and WxJava implementation of WeChat
...The project supports multi–official account configurations, making it suitable for systems that manage several WeChat public accounts from a single backend. By providing ready-to-run examples, it helps developers quickly understand the integration flow between Spring Boot and WeChat APIs. Overall, it functions as both a learning reference and a boilerplate foundation for production-grade WeChat public account services. -
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PRML
PRML algorithms implemented in Python
PRML repository is a respected and well-maintained project that implements the foundational algorithms from the famous textbook Pattern Recognition and Machine Learning by Christopher M. Bishop, providing a practical and accessible Python reference for both students and professionals. Rather than just summarizing concepts, the repository includes working code that demonstrates linear regression and classification, kernel methods, neural networks, graphical models, mixture models with EM... -
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Python Interview Bible
Curated set of interview notes, Q&A, and code snippets
...It organizes content by topic—language essentials, data structures, algorithms, concurrency, networking, and databases—so you can target weak areas quickly. The repository emphasizes clear explanations and compact examples that demonstrate correct usage and common pitfalls. Many entries include comparative discussions, such as list vs tuple or threading vs multiprocessing, to cultivate judgment rather than rote memorization. You will also find patterns for writing clean, idiomatic Python and tips for discussing trade-offs during interviews. The tone is practical and task-oriented, helping candidates rehearse under realistic constraints. -
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jstraining
Training materials designed to teach JavaScript
...Learners write code early and often, reinforcing concepts like functions, objects, modules, and asynchronous control flow. The repository encourages modern syntax and patterns while keeping examples small enough to digest in a classroom or workshop setting. It can be adapted for short bootcamps, brown-bag sessions, or self-guided study. Instructors benefit from ready-to-use outlines, while learners get runnable code and tasks that build muscle memory. -
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Gemma in PyTorch
The official PyTorch implementation of Google's Gemma models
gemma_pytorch provides the official PyTorch reference for running and fine-tuning Google’s Gemma family of open models. It includes model definitions, configuration files, and loading utilities for multiple parameter scales, enabling quick evaluation and downstream adaptation. The repository demonstrates text generation pipelines, tokenizer setup, quantization paths, and adapters for low-rank or parameter-efficient fine-tuning. Example notebooks walk through instruction tuning and evaluation... -
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33 JS Concepts
33 JavaScript concepts every developer should know
33-js-concepts is a curated collection of essential JavaScript concepts that every developer should understand to strengthen their knowledge of the language. The project was originally inspired by an article by Stephen Curtis and has since grown into a community-driven learning resource. It serves as a roadmap for developers to review and master core principles such as closures, promises, prototypes, event loops, and other critical topics. While not a strict curriculum, it provides a... -
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Flash Linux 0.11 Talk
Annotated Unix system source code
flash-linux0.11-talk is an annotated walkthrough of the Linux 0.11 kernel that explains how a tiny Unix-like system boots, schedules, handles interrupts, and manages memory. The materials break down historically compact and dense code into digestible segments, with diagrams and call flows that trace execution from bootloader to user space. By focusing on a small, early kernel, the series reveals core OS concepts without the complexity of modern subsystems. It highlights how segmentation and... -
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Servant
Haskell DSL for describing, serving, querying, mocking web apps
...We have a tutorial that introduces the core features of servant. After this article, you should be able to write your first server web services, learning the rest from the haddocks' examples. The core documentation can be found here. Other blog posts, videos, and slides can be found on the website. The core documentation can be found here. Other blog posts, videos and slides can be found on the website. -
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Plug
Compose web applications with functions
Plug is a specification and set of utilities for building composable modules in Elixir web applications. It defines a standard connection interface, allowing developers to create “plugs” that act as middleware for handling requests and responses. Examples include parsing parameters, managing sessions, logging, or authentication, all of which can be plugged into a pipeline. Plug serves as the foundation for the Phoenix framework, which builds on it to deliver a full-featured web stack. The library supports both synchronous and streaming responses, making it adaptable to various web scenarios. ... -
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Diligent Core
A modern cross-platform low-level graphics API
DiligentCore is a low-level, cross-platform rendering library designed to provide a modern graphics abstraction layer over Direct3D11, Direct3D12, OpenGL, Vulkan, and Metal. It’s aimed at developers building high-performance rendering engines and scientific visualization tools. DiligentCore gives precise control over GPU resources and rendering pipelines, while also abstracting away platform-specific boilerplate. The library is modular, extensible, and well-suited for projects that require... -
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Godot RL Agents
An Open Source package that allows video game creators
godot_rl_agents is a reinforcement learning integration for the Godot game engine. It allows AI agents to learn how to interact with and play Godot-based games using RL algorithms. The toolkit bridges Godot with Python-based RL libraries like Stable-Baselines3, making it possible to create complex and visually rich RL environments natively in Godot. -
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HyperTAG
AI-Generated Tags and Summaries for Telegram Messages
HyperTAG is a Telegram bot that leverages advanced AI models to generate context-aware tags and summaries for your messages. It can also automatically create tags and summaries for channel posts. The bot analyzes the text content of your messages along with any included links, producing relevant tags and summaries based on both the message text and the text from the links. Additionally, it generates summaries for Web pages or YouTube videos using their links. -
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Nix
Nix, the purely functional package manager
Nix is a tool that takes a unique approach to package management and system configuration. Learn how to make reproducible, declarative and reliable systems. Nix builds packages in isolation from each other. This ensures that they are reproducible and don’t have undeclared dependencies, so if a package works on one machine, it will also work on another. Nix makes it trivial to share development and build environments for your projects, regardless of what programming languages and tools you’re... -
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SwiftGodot
New Godot bindings for Swift
SwiftGodot provides Swift language bindings for the Godot 4.2 game engine using the new GDExtension system (for 4.1 compatibility, use the 4.1 branch, preview for upcoming 4.3 release is in the 4.3 branch). SwiftGodot can be used to either build an extension that can be added to an existing Godot project, where your code is providing services to the game engine, or it can be used as an API with SwiftGodotKit which embeds Godot as an application that is driven directly from Swift. SwiftGodot... -
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GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. Different query engines can adopt the language while... -
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Taro
Cross-end cross-frame solution that supports the use of frameworks
Open cross-end cross-framework solution, easily construct applications that can run on small programs/Web/APP. An open cross-end cross-framework solution that supports the use of frameworks such as React/Vue/Nerv to develop applications such as WeChin/Jingdong/Baidu/Payer/QQ Minor/H5/React Native. Nowadays, there are many forms at the upper end of the market. Web, React Native, micro-credit programs and other end-to-end programs are popular. When business requirements are required at... -
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Metalsmith
An extremely simple, pluggable static site generator for Node.js
An extremely simple, pluggable static site generator for NodeJS. Metalsmith works with all the tools and data formats you already know and use: NodeJS, npm, markdown, json, yaml and the templating language of your choice. Metalsmith translates a directory tree to plain Javascript objects that you can manipulate effortlessly with your selection of plugins. You shouldn't have to bend your project needs to a specific framework or tool. Metalsmith gives you full control of how you want to... -
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Katib
Automated Machine Learning on Kubernetes
Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is a project that is agnostic to machine learning (ML) frameworks. It can tune hyperparameters of applications written in any language of the users’ choice and natively supports many ML frameworks, such as TensorFlow, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom... -
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Optax
Optax is a gradient processing and optimization library for JAX
Optax is a gradient processing and optimization library for JAX. It is designed to facilitate research by providing building blocks that can be recombined in custom ways in order to optimize parametric models such as, but not limited to, deep neural networks. We favor focusing on small composable building blocks that can be effectively combined into custom solutions. Others may build upon these basic components in more complicated abstractions. Whenever reasonable, implementations prioritize... -
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Hamilton DAGWorks
Helps scientists define testable, modular, self-documenting dataflow
Hamilton is a lightweight Python library for directed acyclic graphs (DAGs) of data transformations. Your DAG is portable; it runs anywhere Python runs, whether it's a script, notebook, Airflow pipeline, FastAPI server, etc. Your DAG is expressive; Hamilton has extensive features to define and modify the execution of a DAG (e.g., data validation, experiment tracking, remote execution). To create a DAG, write regular Python functions that specify their dependencies with their parameters. As... -
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Simd Library
C++ image processing and machine learning library with using of SIMD
The Simd Library is a free open-source image processing and machine learning library, designed for C and C++ programmers. It provides many useful high-performance algorithms for image processing such as pixel format conversion, image scaling and filtration, extraction of statistical information from images, motion detection, object detection and classification, neural networks. The algorithms are optimized with using of different SIMD CPU extensions. In particular, the library supports the... -
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Sacred
Sacred is a tool to help you configure, andorganize IDSIA experiments
Sacred is a tool to help you configure, organize, log and reproduce experiments. It is designed to do all the tedious overhead work that you need to do around your actual experiment. A very convenient way of the local variables in a function to define the parameters your experiment uses. You can access all parameters of your configuration from every function. They are automatically injected by name. You get a powerful command-line interface for each experiment that you can use to change... -
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Saas UI
The React component library for startups, built with Chakra UI
Build intuitive apps that your customers will love. Saas UI is a React component library and starterkit that doesn't get in your way and helps you build intuitive SaaS products with speed. Saas UI ships with an extensive set of foundational and advanced components that cover a wide range of use-cases. Carefully crafted to reduce boilerplate code without sacrificing flexibility. Get started for free with 40+ open source components. Including authentication screens with Clerk, Supabase and... -
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AutoNumeric
Standalone library that provides live as-you-type formatting
AutoNumeric is a standalone library that provides live-as-you-type formatting for international numbers and currencies. All in all, AutoNumeric supports most international numeric formats and currencies including those used in Europe, Asia, and North and South America. AutoNumeric focuses on efficiency and speed making all your input interactions blazing fast. No dependencies are needed to use AutoNumeric. Written in ES6, AutoNumeric uses the latest technologies and is prepared for the...
