Search Results for "deep" - Page 13
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Showing 1152 open source projects for "deep"
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AI Agents That Actually Do the WorkClickUp's Super Agents run 24/7 inside your workspace: triaging bugs, drafting content, updating statuses, and routing tasks without being told twice. Connect them to 500+ tools and let them execute, not just suggest. Build custom agents in minutes that understand your workflows and act on them autonomously.
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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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tfsec
Security scanner for your Terraform code
...Designed to run locally and in your CI pipelines, developer-friendly output and fully documented checks mean detection and remediation can take place as quickly and efficiently as possible. tfsec takes a developer-first approach to scanning your Terraform templates; using static analysis and deep integration with the official HCL parser it ensures that security issues can be detected before your infrastructure changes take effect. Checks for misconfigurations across all major (and some minor) cloud providers. Applies (and embellishes) user-defined Rego policies. Supports multiple output formats: CLI, JSON, SARIF, CSV, CheckStyle, and JUnit. ... -
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Anything Analyzer
AI Agent/IDE | All-in-one protocol analysis toolkit
Anything Analyzer is an all-in-one protocol analysis toolkit designed to inspect, intercept, and understand network traffic across modern web environments. It combines browser-based packet capture, MITM proxy capabilities, and JavaScript hooking into a unified interface for deep inspection of requests and responses. The tool supports fingerprint spoofing and behavioral simulation, allowing users to analyze how systems react under different conditions. It integrates AI-powered analysis to interpret captured data and provide insights into protocols and behaviors. The system is built to connect seamlessly with AI agents and development environments through MCP server integration. ... -
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zerobrew
A drop-in, 5-20x faster, experimental Homebrew alternative
...It reimagines the idea of a “brew-like” experience by focusing on minimal dependencies, reproducible builds, and clarity of configuration so that even complex packages can be installed without deep setup overhead. Rather than abstracting every detail behind magic, ZeroBrew encourages transparency: users see what’s happening at every step and can customize build logic or patches directly within formula definitions. This makes it appealing for environments where reproducibility, auditability, and simplicity matter, such as on developer workstations, CI pipelines, or constrained runtime environments. -
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Datadog Client Libraries for Go
Datadog Go Library including APM tracing, profiling, and security
Datadog Application Performance Monitoring (APM) gives deep visibility into your applications with out-of-the-box performance dashboards for web services, queues, and databases to monitor requests, errors, and latency. Distributed traces seamlessly correlate to browser sessions, logs, profiles, synthetic checks, network, processes, and infrastructure metrics across hosts, containers, proxies, and serverless functions. -
Atera - an All-in-one platform for IT managementYour IT essentials, integrated & elevated. Take your IT management from automated to autonomous, download Atera's agent to start your free trial!
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CTranslate2
Fast inference engine for Transformer models
...The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and reduce the memory usage of Transformer models on CPU and GPU. The execution is significantly faster and requires less resources than general-purpose deep learning frameworks on supported models and tasks thanks to many advanced optimizations: layer fusion, padding removal, batch reordering, in-place operations, caching mechanism, etc. The model serialization and computation support weights with reduced precision: 16-bit floating points (FP16), 16-bit integers (INT16), and 8-bit integers (INT8). ... -
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Impacket
A collection of Python classes for working with network protocols
...It features several protocols, including Ethernet, IP, TCP, UDP, ICMP, IGMP, ARP, NMB and SMB1, SMB2 and SMB3 and more. Impacket's object oriented API makes it easy to work with deep hierarchies of protocols. It can construct packets from scratch, as well as parse them from raw data. -
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TurboQuant PyTorch
From-scratch PyTorch implementation of Google's TurboQuant
TurboQuant PyTorch is a specialized deep learning optimization framework designed to accelerate neural network inference and training through advanced quantization techniques within the PyTorch ecosystem. The project focuses on reducing the computational and memory footprint of models by converting floating-point representations into lower-precision formats while preserving performance. -
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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. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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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Rust Data Analysis
Rust for data analysis encyclopedia (WIP)
Welcome to the Rust Data Analysis repository! This collection of Jupyter notebooks provides a comprehensive exploration of data analysis using Rust. Powered by a Rust kernel, these notebooks allow you to dive deep into the realm of data analysis, leveraging the capabilities of the Rust programming language. With the help of various Rust libraries, such as ndarray, plotters, and more, you'll be able to extract valuable insights from different datasets with ease. -
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Chainlit
Build Python LLM apps in minutes
...Integrate the Chainlit API in your existing code to spawn a ChatGPT-like interface in minutes! Integrate seamlessly with an existing code base or start from scratch in minutes. Understand the intermediary steps that produced an output at a glance. Deep dive into prompts in the Prompt Playground to understand where things went wrong and iterate. Invite your teammates, create annotated datasets and run experiments together. Chainlit is compatible with all Python programs and libraries. That being said, it comes with a set of integrations with popular libraries and frameworks. -
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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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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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changedetection.io
The best free open source website change detection and restock service
Loved by smart shoppers, data journalists, research engineers, data scientists, security researchers, and more. From simply monitoring website pages that have a change (such as watching prices, and restocking notifications), to deep inspection such as PDF text support, JSON and XML monitoring, and extensive text triggers. Monitor out-of-stock products and get alerts when those products are back in stock, get restock alerts via Discord, Slack, email, and many other platforms. Using the browser steps configuration, add basic steps before performing change detection, such as logging into websites, adding a product to a cart, accepting cookie logins, entering dates, and refining searches. ... -
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Gemini CLI
Open source AI agent CLI tool to bring Gemini into your terminal
Gemini CLI is an open‑source AI agent that brings the capabilities of Google’s Gemini 2.5 Pro large‑language model directly into your terminal, enabling tasks ranging from coding and debugging to content creation and research via natural‑language prompts, with support for multimodal outputs like image and video generation. Gemini CLI integrates with external tools and MCP servers, enabling media generation and enhanced workflow automation. It also includes a built-in Google Search tool to... -
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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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JUDI.jl
Julia Devito inversion
...Wave equations in JUDI are solved with Devito, a Python domain-specific language for automated finite-difference (FD) computations. JUDI's modeling operators can also be used as layers in (convolutional) neural networks to implement physics-augmented deep learning algorithms thanks to its implementation of ChainRules's rrule for the linear operators representing the discre wave equation. -
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syzkaller
syzkaller is an unsupervised coverage-guided kernel fuzzer
syzkaller is Google’s coverage-guided, feedback-driven kernel fuzzer designed to uncover reliability and security bugs in operating system kernels at scale. It automatically generates, mutates, and minimizes system call programs, then drives them through a specialized executor (syz-executor) to exercise deep kernel paths. The system integrates tightly with sanitizers such as KASAN, KMSAN, KCSAN, and UBSAN to surface memory safety, concurrency, and undefined behavior issues with actionable reports. A distributed architecture coordinates many fuzzing VMs, collects crash signatures, deduplicates them, and bisects to the first bad commit when possible. syzkaller maintains per-kernel “syz” descriptions so it understands arguments, flags, and resources of thousands of syscalls and ioctls across Linux and other kernels. ... -
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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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DeepLabCut
Implementation of DeepLabCut
DeepLabCut™ is an efficient method for 2D and 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 frames). We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors. The package is open source, fast, robust, and can be used to compute 3D pose estimates or for multi-animals. ... -
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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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fooyin
A customisable music player
...Its library management tools offer advanced filtering, tagging, and playlist organization for large music collections. Designed primarily for Linux, it emphasizes performance and deep customization over simplicity. -
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FlashAttention
Fast and memory-efficient exact attention
FlashAttention is a high-performance deep learning optimization library that reimplements the attention mechanism used in transformer models to be significantly faster and more memory-efficient than standard implementations. It achieves this by using IO-aware algorithms that minimize memory reads and writes, reducing the quadratic memory overhead typically associated with attention operations.
