Search Results for "learning" - Page 46
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Showing 4197 open source projects for "learning"
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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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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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WeClone
One-stop solution for creating your digital avatar from chat history
...Developers can use the resulting model to create chatbots that simulate a specific user’s communication patterns for testing or research purposes. Overall, WeClone explores the idea of digital identity replication through machine learning and conversational modeling. -
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AnyTool
AnyTool: Universal Tool-Use Layer for AI Agents
...It uses progressive filtering and adaptive orchestration to ensure the right tools are retrieved efficiently and work cohesively with agents of varying complexity, scaling to thousands of tools with self-optimizing behavior. The system also tracks tool reliability and quality, offering a safer and more predictable automation experience with persistent learning from previous executions. -
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LeetCode Animation
Demonstrate all the questions on LeetCode in the form of animation
...These materials are designed for both beginners starting their algorithm journey and experienced developers seeking to reinforce their understanding. Originally published through the WeChat public account “Brother Wu Learns Algorithms”, LeetCodeAnimation has become a valuable learning resource. -
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Transcoder
Hardware-accelerated video transcoding using Android MediaCodec APIs
...Unlike traditional speech translation systems that rely on multi-stage pipelines, Transcoder directly translates one speaker’s video into another language while preserving facial expressions, lip-sync, and vocal identity. Designed for real-time use and production-grade pipelines, Transcoder combines advanced deep learning models with GPU acceleration to deliver high-quality translations across languages. It’s built with researchers and developers in mind, offering tools for testing, evaluating, and deploying AI-driven media localization. -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if... -
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.NET Developer Roadmap 2026
The comprehensive .NET Developer Roadmap for 2026 by seniority level
.NET Developer Roadmap is a comprehensive 2026 study guide for becoming a professional .NET engineer. It maps more than 260 tools, libraries, frameworks, concepts, books, blogs, and videos across the ecosystem. The material begins with .NET runtimes, .NET Standard, C#, and general development skills. It continues through .NET Core, client-side .NET, databases, object-relational mapping, testing, logging, communication, caching, and background work. Later sections cover observability,... -
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AI-Trader
100% Fully-Automated Agent-Native Trading
AI-Trader is an open-source AI-powered quantitative trading framework designed to combine financial analysis, machine learning, and autonomous trading workflows into a unified research platform. The project integrates large language models, financial indicators, market analysis pipelines, and automated decision-making systems to support strategy generation and market prediction tasks. It is built to help researchers and developers experiment with AI-assisted trading strategies using historical and real-time financial data. ... -
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PM Skills Marketplace
100+ agentic skills, commands, and plugins
PM Skills Marketplace is a repository designed to provide structured knowledge and guidance for product management skills, combining practical frameworks, templates, and conceptual explanations. It aims to help both aspiring and experienced product managers develop competencies across areas such as strategy, user research, prioritization, and execution. The project organizes information in a way that makes it easy to navigate different skill domains, offering actionable insights rather than... -
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OSMO
The developer-first platform for scaling complex Physical AI workloads
OSMO is a developer-first orchestration platform designed to scale complex physical AI workflows across heterogeneous computing environments, including cloud GPUs, simulation clusters, and edge devices. It was originally built internally at NVIDIA to support robotics and embodied AI systems, where workflows span multiple stages such as data generation, training, simulation, and hardware testing. The platform addresses what NVIDIA refers to as the “three computer problem” by unifying these... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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Apple Silicon Guide
Learn all about the A17 Pro, A16 Bionic, R1, M1-series
...The guide also includes practical advice on setting up development environments — such as configuring compilers, package managers, containers, virtualization tools (e.g., UTM/VMs) — and resolving common pain points with dependencies that historically lacked native support. For creative and power users, there are performance recommendations for video/audio production, machine learning workflows, and GPU-accelerated tasks. -
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uemacs
Random version of microemacs with my private modificatons
...The project serves as both a functional tool and an example of clean, old-school C systems programming. Because the editor is small, users can understand and modify it more easily than sprawling IDEs, which is appealing for hacking and learning. It’s not meant to compete with modern extensible editors; it exists as a minimal, dependable workhorse that starts fast and stays out of the way. -
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Peroxide
Rust numeric library with high performance and friendly syntax
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. -
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Agents.jl
Agent-based modeling framework in Julia
Agents.jl is a pure Julia framework for agent-based modeling (ABM): a computational simulation methodology where autonomous agents react to their environment (including other agents) given a predefined set of rules. The simplicity of Agents.jl is due to the intuitive space-agnostic modeling approach we have implemented: agent actions are specified using generically named functions (such as "move agent" or "find nearby agents") that do not depend on the actual space the agents exist in, nor... -
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ModelingToolkit.jl
Modeling framework for automatically parallelized scientific ML
ModelingToolkit.jl is a modeling language for high-performance symbolic-numeric computation in scientific computing and scientific machine learning. It then mixes ideas from symbolic computational algebra systems with causal and acausal equation-based modeling frameworks to give an extendable and parallel modeling system. It allows for users to give a high-level description of a model for symbolic preprocessing to analyze and enhance the model. Automatic symbolic transformations, such as index reduction of differential-algebraic equations, make it possible to solve equations that are impossible to solve with a purely numeric-based technique. ... -
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wego
Weather app for the terminal
wego is a weather client for the terminal. Config file for default location which can be overridden by commandline. Automatic config management with ingo. A working Go 1.5 environment (You can use goenv if your distribution does not support Go 1.5 yet). utf-8 terminal with 256 colors. A sane monospaced font containing all the required runes (I use dejavu sans mono). An API key for the backend. You can create an account and get a free API key by signing up. You can set the $WEGORC environment... -
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TensorZero
TensorZero is an open-source stack for industrial-grade LLM apps
tensorzero is a lightweight C++ library designed for tensor operations and numerical computing. It offers a minimal and readable implementation of core tensor functionality, making it ideal for educational purposes, lightweight applications, or those wanting to understand how tensor libraries work under the hood. With no external dependencies, tensorzero is easy to integrate into C++ projects needing basic multi-dimensional array support. -
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Symfony Demo Application
Symfony Demo Application
Symfony Demo is a reference application created by the Symfony community to showcase best practices and demonstrate how to build a modern web application using the Symfony framework. It features a blog-style website with user authentication, content management, and a clean, responsive design. The project serves as an educational tool for learning Symfony development, including configuration, routing, controllers, and templating. -
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Pion TURN
Pion TURN, an API for building TURN clients and servers
...Extendable - TURN as an API so you can easily integrate with your existing monitoring and metrics. Maintainable - pion/turn is simple and well documented. Designed for learning and easy debugging. Portable - Quickly deploy to multiple architectures/platforms just by setting an environment variable. Safe - Stability and safety is important for network services. Go provides everything we need. Scalable - Create allocations and mutate state at runtime. Designed to make scaling easy. pion/turn is an API for building STUN/TURN clients and servers, not a binary you deploy then configure. -
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WP-CLI
WP-CLI framework
...As you become more familiar with the command line, you’ll notice performing a given task with WP-CLI is generally much faster than performing the same task through the WordPress admin. Investing time upfront into learning how to better use WP-CLI pays dividends in the long term. Browse through all of WP-CLI’s commands to explore your new world. Or, catch up with shell friends to learn about helpful command line utilities. -
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seq2seq-couplet
Play couplet with seq2seq model
seq2seq-couplet is a deep learning application that generates Chinese couplet responses using a sequence-to-sequence model built with TensorFlow. Its purpose is not general machine translation, but a specialized text generation task in which the model produces a matching second line for a given first line in the style of traditional couplets. The repository includes the code needed to train the model, configure file paths and hyperparameters, and evaluate progress through loss and BLEU score tracking. ... -
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Compound Engineering
Official Compound Engineering plugin for Claude Code, Codex, Cursor
...It provides a structured set of commands and agents that guide developers through stages such as brainstorming, planning, execution, review, and knowledge capture. The core philosophy is to reduce technical debt by emphasizing thorough planning and continuous learning, ensuring that each iteration improves future work rather than increasing complexity. The plugin integrates with multiple AI coding environments, including Claude Code and other tools, enabling consistent workflows across platforms. It also supports automated code review and ideation processes, leveraging multiple agents to enhance quality and decision-making. ... -
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Hugging Face - Speech To Speech
Open speech-to-speech models and pipelines by Hugging Face toolkit AI
This project from Hugging Face focuses on enabling direct speech-to-speech processing using modern machine learning models. It provides tools and reference implementations that allow audio input to be transformed into audio output without requiring an intermediate text representation. Hugging Face - Speech To Speech builds on recent advances in speech modeling, combining components such as speech recognition, translation, and synthesis into unified pipelines. -
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Agent Development Kit (ADK) for Java
An open-source, code-first Java toolkit
...ADK is designed to be flexible and modular so that developers can build simple automation agents or large distributed agent systems depending on their needs. While it integrates well with Google’s AI ecosystem, the framework is designed to remain model-agnostic and compatible with different machine learning platforms. -
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Jupyter Docker Stacks
Ready-to-run Docker images containing Jupyter applications
...These stacks support a range of use cases, from lightweight base notebook images to full featured environments that include scientific computing libraries, machine learning tools, and IDE-like notebook interfaces, all within Docker containers that run consistently across machines. Users can pull a particular stack image and launch a Jupyter server without worrying about installing Python, R, or complex dependencies themselves — everything needed is baked into the container. This makes the stacks especially useful for education, demos, collaborative coding, and CI/CD workflows where consistent environments are crucial, and it integrates smoothly with cloud platforms, JupyterHub deployments, and Binder for interactive sharing.