Search Results for "deep" - Page 4
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Showing 293 open source projects for "deep"
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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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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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Antigravity Awesome Skills
The Ultimate Collection of 700+ Agentic Skills for Claude Code
...The project includes skill definitions, example prompts, and usage patterns that highlight how modular abilities can be assembled into functioning assistants. Because it aims to reduce cognitive overhead, many skills show how to structure intents, handle context, and orchestrate multi-step reasoning without deep technical complexity. It also serves as inspiration for users looking to prototype new use cases — from conversational helpers that answer questions to workflow automators that trigger actions. -
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Helium
Lighter web automation with Python
...It replaces verbose boilerplate code with natural language-like API calls such as click("Login") or write("hello", into="Name"). Helium manages browser setup, waits, and teardown, enabling quick development of scripts for testing, scraping, or task automation without requiring deep Selenium knowledge. -
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graphql-compose-mongoose
Mongoose model converter to GraphQL types with resolvers
This is a plugin for graphql-compose, which derives GraphQLType from your Mongoose model. Also derives a bunch of internal GraphQL Types. Provide all CRUD resolvers, including graphql connection, also provide basic search via operators. GraphQL Compose Mongoose is a tool to automatically generate a GraphQL API from Mongoose models, simplifying GraphQL schema creation. -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
...Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. It integrates natively with Android (replacing older atrace/Systrace paths) and can sit alongside custom instrumentation in apps or services through its SDKs. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Remult
Full-stack CRUD, simplified, with SSOT TypeScript entities
Remult is a full-stack CRUD framework for building type-safe web applications using a single shared TypeScript model. It automatically exposes backend APIs based on your entities and provides real-time synchronization, role-based access control, and deep integration with front-end frameworks like React, Angular, and Vue. Remult simplifies full-stack development by unifying API and model definitions. -
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NestJS Telegraf
Powerful Nest module for easy and fast creation Telegram bots
...Telegraf is the most powerful library for creating bots and NestJS is a progressive framework for creating well-architectured applications. This module provides fast and easy way for creating Telegram bots and deep integration with your NestJS application. -
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Sysdig Inspect
A powerful opensource interface for container troubleshooting
...Sysdig Inspect helps you understand trends, correlate metrics and find the needle in the haystack. It comes packed with features designed to support both performance and security investigations, with deep container introspection. -
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Jib
Containerize your Java application
Containerize your Java application with Jib! Jib builds optimized Docker and OCI images for your Java applications-- no Docker daemon or deep mastery of Docker best-practices required. Jib builds by separating the traditionally single image layer Java application into multiple layers for more granular incremental builds. This results in only changes to your code being rebuilt, not your entire application. Jib deploys your changes fast and allows you to rebuild your container image exactly the same without triggering unnecessary updates. ... -
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YOLOv9
Learning What You Want to Learn Using Programmable Gradient Info
YOLOv9 is the official implementation of the paper “YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.” It is a modern object detection repository focused on improving how deep networks preserve useful information during training. The project introduces Programmable Gradient Information and the GELAN architecture to improve gradient flow, parameter efficiency, and train-from-scratch performance. It provides scripts and model assets for training, testing, and running inference on detection tasks. YOLOv9 is designed for real-time detection scenarios where both accuracy and efficiency matter. ... -
Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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Karpathy-Inspired Claude Code Guidelines
A single CLAUDE.md file to improve Claude Code behavior
Karpathy-Inspired Claude Code Guidelines is a curated learning and experimentation repository inspired by the work and teaching philosophy of Andrej Karpathy, designed to help learners build practical competence in deep learning, neural networks, and AI infrastructure. The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. It covers topics like implementing backpropagation from scratch, understanding convolutional and recurrent networks, building simple training loops, and exploring real datasets with hands-on code. ... -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. -
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OSRFramework
OSRFramework, the Open Sources Research Framework is a AGPLv3+ project
OSRFramework is a GNU AGPLv3+ set of libraries developed by i3visio to perform Open Source Intelligence collection tasks. They include references to a bunch of different applications related to username checking, DNS lookups, information leaks research, deep web search, regular expressions extraction and many others. At the same time, by means of ad-hoc Maltego transforms, OSRFramework provides a way of making these queries graphically as well as several interfaces to interact with like OSRFConsole or a Web interface. If everything went correctly (we hope so!), it's time for trying usufy., mailfy and so on. ... -
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VT Code
VT Code - semantic AI coding agent
VTCode is a terminal-based AI coding agent designed to provide semantic code understanding and interactive assistance directly within a command-line environment. It is implemented in Rust and focuses on performance, portability, and deep integration with developer workflows that rely on terminal tools. The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more accurate and context-aware suggestions. VTCode operates as an agent rather than a simple autocomplete tool, meaning it can interpret user intent, navigate codebases, and assist with multi-step tasks. ... -
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Saeba's Blog
Where Saeba writes his blog, he plans to write four series: JavaScript
...Rather than being a software package, it functions as a structured educational repository for developers who want to understand how JavaScript features work under the hood. Many articles focus on concepts such as execution context, scope, prototypes, closures, debounce, throttle, deep copy, currying, and implementation patterns inspired by popular libraries. The repository is useful for self-study, interview preparation, and deeper frontend fundamentals. Its long-running popularity comes from explaining difficult concepts in a systematic and practical way. -
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Compose Destinations
Annotation processing library for type-safe Jetpack Compose navigation
A KSP library that processes annotations and generates code that uses Official Jetpack Compose Navigation under the hood. It hides the complex, non-type-safe and boilerplate code you would have to write otherwise. No need to learn a whole new framework to navigate - most APIs are either the same as with the Jetpack Components or inspired by them. -
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Pretzel AI
The modern replacement for Jupyter Notebooks
Pretzel AI is an open-source, AI-enhanced notebook environment built as a modern alternative to Jupyter, designed to improve the data science and coding workflow through deep integration of intelligent assistance. It extends the traditional notebook interface by embedding AI capabilities directly into the development experience, including inline code generation, contextual editing, and conversational interaction with code and data. Users can interact with AI models through commands within cells or via a sidebar interface, enabling tasks such as debugging, code explanation, and automated transformations. ... -
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Shumai
Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun
...Built on Bun and Flashlight, with ArrayFire as its numerical backend, Shumai brings GPU-accelerated tensor operations, automatic differentiation, and scientific computing tools directly to JavaScript developers. It allows seamless integration of machine learning, deep learning, and custom differentiable programs into web-based or server-side environments without relying on Python frameworks. The library supports matrix operations, gradient computation, and tensor conversions with intuitive APIs and near-native speed, thanks to Bun’s low-overhead FFI bindings. It can automatically leverage GPU acceleration on Linux (via CUDA) and CPU computation on macOS. -
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Theseus
A library for differentiable nonlinear optimization
...Helper packages provide geometry primitives and utilities for composing priors, relative constraints, and measurement models. Theseus bridges the gap between classical optimization and deep learning, enabling hybrid systems that learn components. -
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Go 101
An up-to-date (unofficial) knowledge base for Go programming
...Go Optimizations 101, which provides some code performance optimization tricks, tips, and suggestions. Go Details & Tips 101, which collects many details and provides several tips in Go programming. These books are expected to help gophers gain a deep and thorough understanding of Go and be helpful for both beginner and experienced Go programmers. Some HTML files are generated from their corresponding markdown files. If a markdown file is modified, we can run go run . -gen to synchronize its corresponding HTML file. -
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Trilium Notes
Build your personal knowledge base
Trilium is provided as either desktop application (Linux and Windows) or web application hosted on your server (Linux). Mac OS desktop build is available, but it is unsupported. Synchronization with self-hosted sync server, strong note encryption with per-note granularity, relation maps and link maps for visualizing notes and their relations, and scripting, see Advanced showcases. Scales well in both usability and performance upwards of 100 000 notes, touch optimized mobile frontend for... -
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Tile Kernels
A kernel library written in tilelang
...TileKernels also includes testing and benchmarking utilities to help evaluate correctness and performance. Its main value is providing reusable TileLang-based kernels for experimental and production-adjacent deep-learning systems. -
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Machine Learning Tutorials Repository
Dive deep into the realms of Machine Learning and other topics
The Machine Learning Tutorials Repository is a comprehensive collection of resources, examples, and implementations designed to help users understand and apply machine learning concepts. It covers a wide range of topics, including supervised learning, unsupervised learning, neural networks, and data preprocessing techniques. The project is structured to provide both theoretical explanations and practical code examples, making it suitable for learners at different levels. It includes... -
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Claude Code Project Configuration
Comprehensive Claude Code project configuration example with hooks
...The showcase illustrates how to build a reusable set of domain-specific skills that encode the team’s coding patterns, conventions, and best practices so that Claude can generate code that naturally fits the project’s style out of the box. It also includes custom agents that automate tasks such as deep code review, PR reviews, or quality checks, and slash-commands that developers can invoke to kick off common operations directly from the coding environment. Hooks are employed to automate development tasks like formatting, linting, and testing on file changes, ensuring consistency and preventing regressions. -
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Quine Relay
An uroboros program with 100+ programming languages
quine-relay is an esoteric programming project that produces a single program which, when run, outputs the same program in another programming language; and that next-language version, when run, outputs itself in yet another language—and so on—cycling through many languages until returning to the original. It is effectively a “relay” of quines across dozens (or hundreds) of languages. The repository contains implementations, translation scaffolding, and carefully crafted code for each... -
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Integrant
Micro-framework for data-driven architecture
Integrant is a minimalistic micro-framework for building applications following a data-driven architecture. It lets you define system components declaratively as configuration data and handles lifecycle actions (init, halt, resume) in dependency order, serving as a modern alternative to Component or Mount. Integrant was built as a reaction to fix some perceived weaknesses with Component. In Component, systems are created programmatically. Constructor functions are used to build records,...
