Search Results for "programming learning system" - Page 5
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Showing 2599 open source projects for "programming learning system"
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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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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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AIDE ML
AI-Driven Exploration in the Space of Code
...The framework is designed for experimentation and academic research into automated programming and machine learning optimization. -
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HelloGitHub
Share interesting, entry-level open source projects on GitHub
HelloGitHub shares interesting, entry-level open source projects on GitHub. It is updated and released in the form of a monthly magazine on the 28th of every month. The content includes interesting, entry-level open-source projects, open-source books, practical projects, enterprise-level projects, etc., so that you can feel the charm of open source in a short time and fall in love with open source! At first, I just wanted to collect interesting, high-quality, and easy-to-use projects that I... -
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Data Science Interviews
Data science interview questions and answers
...The project serves as a preparation resource for students, job seekers, and professionals who want to review the technical knowledge required for data science roles. The repository organizes questions into different categories including theoretical machine learning concepts, technical programming questions, and probability or statistics problems. Many of the questions cover fundamental machine learning topics such as linear models, decision trees, neural networks, and evaluation metrics. In addition to theoretical questions, the repository also includes practical interview topics related to coding challenges, SQL queries, and algorithmic thinking. -
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i.am.ai
Roadmap to becoming an Artificial Intelligence Expert in 2022
i.am.ai is a structured educational guide that maps out the knowledge areas and technologies required to become an artificial intelligence or machine learning expert. The project presents visual charts that outline multiple career paths such as data scientist, machine learning engineer, and AI specialist, helping learners understand what to study and in what order. It was originally created to train internal employees but was released publicly to support the broader community. The roadmap emphasizes foundational skills like mathematics, programming, and data handling before progressing into deep learning and specialized domains. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Angel
A Flexible and Powerful Parameter Server for large-scale ML
Angel is a high-performance distributed machine learning and graph computing platform based on the philosophy of Parameter Server. It is tuned for performance with big data from Tencent and has a wide range of applicability and stability, demonstrating an increasing advantage in handling higher-dimension models. Angel is jointly developed by Tencent and Peking University, taking account of both high availability in industry and innovation in academia. With a model-centered core design... -
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bazzite
Bazzite is a cloud native image built upon Fedora Atomic Desktops
Bazzite is a custom Fedora Silverblue variant that provides an immutable desktop operating system tailored for developers and power users. It integrates a curated set of tools and configurations to enhance productivity and streamline the development workflow. -
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OCaml
The core OCaml system: compilers, runtime system, base libraries
OCaml is a general-purpose, industrial-strength programming language with an emphasis on expressiveness and safety. OCaml’s powerful type system means more bugs are caught at compile-time, and large, complex codebases are easier to maintain. This makes it a good language for running critical code. At the same time, sophisticated inference makes the type system unobtrusive, creating a smooth developer experience. -
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free-code
The free build of Claude Code
Free-code is an open-source platform aimed at providing accessible coding resources, tools, or templates that help developers learn, build, and share projects without barriers. It typically focuses on simplifying the development process by offering prebuilt components, example projects, or utilities that can be reused across different applications. The project is designed to encourage collaboration and knowledge sharing within the developer community, making it easier for beginners and... -
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Volcano
A Cloud Native Batch System (Project under CNCF)
Volcano is a batch system built on Kubernetes. It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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NASM
A cross-platform x86 assembler with an Intel-like syntax
...It is designed to support a wide variety of output formats, making it suitable for different operating systems and development environments. NASM is known for its simplicity and clarity, allowing developers to write assembly code that is both readable and efficient. It is commonly used in system programming, operating system development, and performance-critical applications where direct hardware control is required. The assembler is highly portable and can be used across multiple platforms, making it a standard tool in many low-level programming workflows. Its maturity and widespread adoption have made it a reliable choice for developers working close to the hardware. ... -
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Hacking with Swift
The project source code for Hacking with iOS
HackingWithSwift is an extensive open-source repository that accompanies a popular tutorial series focused on teaching Swift programming for iOS development. It contains a large collection of example projects, exercises, and complete applications that guide learners from beginner to advanced levels. The repository is structured into different learning tracks, including UIKit-based development and modern SwiftUI approaches, allowing developers to explore multiple paradigms within the Apple ecosystem. ... -
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zvt
Modular quant framework
For practical trading, a complex algorithm is fragile, a complex algorithm building on a complex facility is more fragile, complex algorithm building on a complex facility by a complex team is more and more fragile. zvt wants to provide a simple facility for building a straightforward algorithm. Technologies come and technologies go, but market insight is forever. Your world is built by core concepts inside you, so it’s you. zvt world is built by core concepts inside the market, so it’s zvt.... -
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Moss
Rust Linux-compatible kernel
...The kernel uses Rust as its primary implementation language, which gives it strong memory safety guarantees and helps reduce common classes of bugs like data races and buffer overflows without sacrificing performance. It aims to serve as both a learning tool for systems programming students and a testbed for advanced research in kernel architecture, enabling experimentation with new ideas in process isolation, resource management, and driver models. -
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Roadmap To Learn Generative AI In 2025
Basic Machine Learning Natural Language Processing Roadmap
Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the art as of 2025. ... -
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Monkey Code
Enterprise-grade AI programming assistant designed for R&D collab
Monkey Code is an enterprise-grade AI programming assistant designed to transform how development teams collaborate, build, and manage code across complex environments. It goes beyond traditional AI coding tools by combining intelligent code generation, conversational programming, and automated DevOps-style workflows into a unified platform that integrates directly with Git-based repositories. -
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Chez Scheme
A programming language and an implementation of that language
...The Chez Scheme implementation consists of a compiler, run-time system, and programming environment. Although an interpreter is available, all code is compiled by default. Source code is compiled on-the-fly when loaded from a source file or entered via the shell. A source file can also be precompiled into a stored binary form and automatically recompiled when its dependencies change. Whether compiling on the fly or precompiling, the compiler produces optimized machine code, with some optimization across separately compiled library boundaries. -
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Diffrax
Numerical differential equation solvers in JAX
...The project provides tools for solving ordinary differential equations, stochastic differential equations, controlled differential equations, and related systems in a way that fits naturally into modern machine learning and differentiable programming workflows. Because it is written to work closely with JAX, it supports just-in-time compilation, automatic differentiation, vectorization, and accelerator-backed execution on hardware such as GPUs and TPUs. This makes it especially appealing for researchers who need equation solvers that can be embedded inside trainable models or simulation-heavy learning systems. -
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qxresearch-event-1
Python hands on tutorial with 50+ Python Application
qxresearch-event-1 is an open-source educational repository that provides a collection of lightweight Python applications designed to demonstrate programming concepts and artificial intelligence techniques in simple and accessible examples. The repository contains dozens of small programs, many implemented with minimal lines of code, covering topics such as machine learning, graphical user interfaces, computer vision, and API integration. Each example is designed to illustrate a single concept or application in a clear and concise manner so that learners can quickly understand the underlying logic. ... -
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AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
AutoMLPipeline (AMLP) is a package that makes it trivial to create complex ML pipeline structures using simple expressions. It leverages on the built-in macro programming features of Julia to symbolically process, and manipulate pipeline expressions and makes it easy to discover optimal structures for machine learning regression and classification. To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for ica (Independent Component Analysis) and pca (Principal Component Analysis) transformations, respectively, concatenated with the hot-bit encoding (ohe) of categorical features (catf) of a given data for rf (Random Forest) modeling. -
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Lux
The Lux Programming Language
...Read carefully before using this project, as the license disallows commercial use, and has other conditions which may be undesirable for some. The language is mostly inspired by the following 3 languages. Clojure (syntax, overall look & feel), Haskell (functional programming), and Standard ML (module system). They are implemented as plain-old data-structures whose expressions get eval'ed by the compiler and integrated into the type-checker. The main difference between Lux & Standard ML is that Standard ML separates interfaces/signatures and implementations/structures. -
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Flix
The Flix Programming Language
Flix is a statically typed programming language combining functional, imperative, and logic paradigms, with first‑class Datalog constraints and a polymorphic effect system. Designed to run on the JVM, Flix enforces purity tracking at compile time, supports algebraic data types, tail‑call elimination, and allows entire Datalog programs as values. -
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Gravity language
Gravity Programming Language
Gravity is a powerful, dynamically typed, lightweight, embeddable programming language written in C without any external dependencies (except for stdlib). It is a class-based concurrent scripting language with modern Swift-like syntax. Gravity supports procedural programming, object-oriented programming, functional programming, and data-driven programming. Thanks to special built-in methods, it can also be used as a prototype-based programming language. ... -
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Tower Building Game
HTML5 Canvas Tower Building Game
Tower Building Game is a small game project — likely implementing a classic “tower defense” or “tower-based” game — designed to showcase game-development fundamentals such as rendering, game logic, user interaction, and possibly simple physics or animations. As an open-source repository, tower_game aims not only to deliver a playable game, but also to serve as a learning resource or template: developers can inspect its code, understand how game loops, input handling, asset management, and state updates are organized. This makes it useful for programmers who are curious about games but don’t want to start from scratch. Because simple games often involve fewer dependencies and easier build processes than full-scale games, tower_game can be a good starting point for hobbyist developers, students learning programming or graphics, or for integration as a mini-game inside larger projects. ... -
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CPlusPlusThings
Collection of various C++ code samples, utilities, patterns
CPlusPlusThings is a repository collecting various C++ code samples, utilities, patterns, and small example projects. It is less a polished product and more a learning/reference collection of snippets and usages of C++ idioms, data structures, algorithms, utilities, and perhaps tricks or meta-programming exercises. (No prominent README or detailed docs were available from my quick search.) Example implementations of data structures and algorithms. Organized as a learning repository (rather than a production framework). ... -
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,...
