Search Results for "complex" - Page 36
Sort By:
Showing 4007 open source projects for "complex"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
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.
-
1
CUDA-Q
C++ and Python support for the CUDA Quantum programming model
...The platform is designed to be hardware-agnostic, allowing developers to run applications on different quantum backends or simulate them efficiently using GPU acceleration when physical quantum hardware is unavailable. It enables complex workflows where classical and quantum computations are tightly integrated, supporting advanced research and real-world applications in quantum computing. The repository includes components such as the nvq++ compiler and runtime systems that manage execution across heterogeneous environments. -
2
NVIDIA Warp
A Python framework for accelerated simulation, data generation
...The framework is designed for applications such as robotics, reinforcement learning, physical simulation, and differentiable computing, where performance and flexibility are critical. Warp provides a set of primitives for working with arrays, geometry, and physics operations, allowing users to implement complex simulations without writing low-level CUDA code directly. It also supports differentiable programming, enabling gradients to be computed through simulation pipelines, which is particularly valuable for machine learning integration. -
3
Book6_First-Course-in-Data-Science
From Addition, Subtraction, Multiplication, and Division to ML
...The repository contains draft chapters, supporting Python code, and visual materials designed to guide readers from basic mathematical operations toward practical machine learning understanding. The goal of the project is to make complex topics such as statistics, algorithms, and data analysis more accessible to learners by breaking concepts into clear explanations supported by code examples and diagrams. The material emphasizes a learning approach that combines theoretical knowledge with hands-on experimentation, often recommending interactive tools such as Jupyter notebooks to explore the ideas presented in the book. -
4
AgentHub
GitHub is for humans. AgentHub is for agents
...The platform treats code repositories not just as storage for files but as active environments where agents can propose modifications, review changes, and exchange structured messages. This approach reflects emerging research in multi-agent software development where groups of AI systems collaborate on complex engineering problems. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
ML Retreat
Machine Learning Journal for Intermediate to Advanced Topics
ML Retreat is an open-source learning repository that serves as a structured journal documenting advanced topics in machine learning and artificial intelligence. The project compiles detailed notes, technical explanations, and curated resources that guide readers through complex concepts across modern AI research. Rather than functioning as a traditional tutorial series, the repository is organized as a learning journey that progressively explores increasingly advanced subjects. Topics include large language models, graph neural networks, mechanistic interpretability, transformer architectures, and emerging research areas such as quantum machine learning. ... -
6
Free ChatGPT Site List
It collects and organizes a wide variety of ChatGPT resources
...It was designed to reduce friction for users trying to locate working AI endpoints or utilities across the rapidly changing ecosystem. The project emphasizes simplicity and quick access rather than complex automation, and it has attracted significant community attention before being archived by its maintainer. Because it aggregates external resources rather than implementing core AI functionality, its value lies in discovery and convenience. The repository is now read-only, preserving it as a snapshot of the AI tooling landscape at the time of archiving. ... -
7
Machine Learning Engineering Open Book
Machine Learning Engineering Open Book
...Rather than focusing purely on theory, the project emphasizes engineering tradeoffs and production realities that often determine success at scale. It is continuously updated as a knowledge dump, making it especially valuable for engineers operating complex AI systems in the wild. -
8
Repomix
Repomix is a powerful tool that packs your entire repository
Repomix is a developer utility that packages an entire code repository into a single AI-friendly file for analysis by large language models. Its core purpose is to simplify the process of feeding complex codebases into AI tools by consolidating files, metadata, and structure into a unified representation. The tool is particularly valuable for code review, refactoring assistance, and automated documentation workflows where context size matters. Repomix intelligently respects ignore rules and can compress code structure to reduce token usage while preserving meaning. ... -
9
visual-explainer
Agent skill + prompt templates that generate rich HTML pages
visual-explainer is an AI-oriented agent skill that converts complex terminal or analytical output into polished, human-readable HTML reports designed for quick comprehension and sharing. The project includes prompt templates and automation logic that enable coding agents to generate visual summaries such as diff reviews, architecture overviews, plan audits, and structured data tables. Its primary goal is to bridge the readability gap between raw machine output and stakeholder-friendly documentation. ... -
Veeam Data Platform v13.1 - Get Your Free TrialTry Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
Convert to it!
Truly universal online file converter
...Its structure emphasizes clarity and minimal dependencies so developers can quickly understand and extend the codebase. The tool is intended to be composable, meaning it can be integrated into larger workflows without imposing complex runtime requirements. Because it is open source and relatively compact, it serves both as a usable utility and as a reference implementation for building custom converters. -
11
CCC
Claude Opus 4.6 wrote a dependency-free C compiler in Rust
...The project implements every part of a traditional compiler — the lexer, parser, intermediate representation, optimizer, code generator, assembler, linker, and debug info emitter — without relying on any external toolchain, producing standalone executables in the ELF format. While still early and not fully validated for correctness, it demonstrates the frontier of what sophisticated AI can build in complex, systems-level software domains, including the potential to compile real operating systems and large software projects. -
12
zerobrew
A drop-in, 5-20x faster, experimental Homebrew alternative
zerobrew is an innovative lightweight package management system and dependency installer designed to simplify how developers install, build, and manage open-source software without relying on heavyweight ecosystems. 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. -
13
MCPorter
Call MCPs via TypeScript, masquerading as simple TypeScript API
Mcporter is a utility designed to port Minecraft worlds from Java Edition to Bedrock Edition while preserving as much structural and gameplay integrity as possible. It addresses the complex differences between the two editions’ world formats, block states, biomes, and entity representations, giving players a seamless way to bring beloved Java worlds into the Bedrock ecosystem. The tool analyzes and converts chunks, block definitions, and metadata to a format Bedrock can interpret, ensuring terrain, constructions, and most in-game elements remain recognizable and playable after conversion. ... -
14
Flow-Like
Strongly Typed Enterprise Scale Workflows
...The core idea is that UI components react to changes in upstream flows, making it easier to reason about how data moves through the system and how user interactions propagate changes throughout the interface. This approach contrasts with traditional two-way binding or manual update patterns by treating flows as the single source of truth, simplifying complex interactions and reducing bugs caused by scattered state logic. Developers can compose and combine flows, establish transformations, and orchestrate asynchronous events using intuitive primitives, resulting in code that is easier to test, maintain, and scale. -
15
Stoolap
A Modern Embedded SQL Database written in Rust
...Instead of relying on heavy commercial observability platforms, stoolap provides a fast, focused interface where users can filter, query, and visualize time-series data, logs, traces, and error metrics in a cohesive environment. Its intuitive query builder lets users craft powerful filters and aggregations without complex configurations, making it easier to diagnose performance bottlenecks or uncover unusual events during testing and production. Stoolap supports dashboards, alert triggering, and exports so teams can embed visualizations in reports or monitor critical thresholds in real time. -
16
AI-Researcher
AI-Researcher: Autonomous Scientific Innovation
AI-Researcher is an open-source system designed to automate complex research tasks end-to-end using large language models and structured workflows, aiming to replicate parts of a human research assistant’s capabilities. It lets users input high-level research goals or questions in natural language and then automatically plans, decomposes, and executes tasks such as literature surveying, summarization, synthesis, experiment design, and draft generation. -
17
NitroGen
A Foundation Model for Generalist Gaming Agents
...As an open research model, NitroGen is trained on extensive gameplay data spanning thousands of hours and hundreds of games to instill broad, generalizable gaming competency rather than skill at a single title. This approach enables the model to control agents in different game genres and contexts, performing tasks that range from complex exploration and combat to fine-grained control in platformers, demonstrating adaptability across unseen environments. The project draws on MineDojo’s broader ecosystem for embodied AI, where multi-modal inputs and richly diverse benchmarks help push toward generalist AI capable of interactive decision making. -
18
SimpleLLM
950 line, minimal, extensible LLM inference engine built from scratch
SimpleLLM is a minimal, extensible large language model inference engine implemented in roughly 950 lines of code, built from scratch to serve both as a learning tool and a research platform for novel inference techniques. It provides the core components of an LLM runtime—such as tokenization, batching, and asynchronous execution—without the abstraction overhead of more complex engines, making it easier for developers and researchers to understand and modify. Designed to run efficiently on high-end GPUs like NVIDIA H100 with support for models such as OpenAI/gpt-oss-120b, Simple-LLM implements continuous batching and event-driven inference loops to maximize hardware utilization and throughput. Its straightforward code structure allows anyone experimenting with custom kernels, new batching strategies, or inference optimizations to trace execution from input to output with minimal cognitive overhead. -
19
CallMe
Minimal plugin that lets Claude Code call you on the phone
...Multi-turn conversations are supported, so users can respond in real time to questions the agent asks during execution, giving it a practical human-in-the-loop capability for complex workflows. -
20
whenwords
A relative time formatting library, with no code
...It combines robust parsing logic with a flexible API so developers can embed scheduling understanding into chatbots, task managers, calendar tools, or productivity apps without building complex date interpreters from scratch. The library handles a wide range of expressions, time zones, and relative references, making it useful across different locales and contexts where users provide unconstrained scheduling input. It also includes utilities to validate, normalize, and format parsed results so applications can reliably present scheduled events and reminders in ways that match user expectations. -
21
awsm.fish
A curation of prompts, plugins & other Fish treasures
...Created by the author of several Fish-related tooling projects, awsm.fish includes commands, prompts, functions, and utilities that make working in the shell more powerful and enjoyable without requiring complex configuration files. It offers intuitive features like enhanced autocompletion, eye-catching prompts with useful context (e.g., Git status), and shortcuts for common tasks such as navigation, version control workflows, environment management, and scripting helpers. Designed to fit naturally into Fish’s syntax and philosophy, awsm.fish aims to make the shell more approachable for beginners while still providing productivity-boosting tools for seasoned users. -
22
Beginner JavaScript
Slam Dunk JavaScript
...The materials encourage learning by doing, with interactive challenges, starter files, and solutions you can compare against your own attempts. Clear explanations and incremental projects help learners build confidence before tackling more complex topics. Because everything runs in the browser with minimal tooling, setup is simple and newcomers can focus on the language rather than the build system. The repo doubles as a reference you can revisit later when you need to refresh syntax or patterns. -
23
ControlSystems.jl
A Control Systems Toolbox for Julia
ControlSystems.jl is a Julia toolbox for control systems design and analysis, offering models in transfer-function and state-space representations, enabling construction of complex systems, simulation in time and frequency domains, and performance/stability evaluation. This toolbox works similar to that of other major computer-aided control systems design (CACSD) toolboxes. Systems can be created in either a transfer function or a state space representation. These systems can then be combined into larger architectures, simulated in both time and frequency domain, and analyzed for stability/performance properties. ... -
24
Broadway
Concurrent and multi-stage data ingestion and data processing
...The library integrates seamlessly with GenStage and OTP supervision trees, making it highly resilient in production. Developers can enrich pipelines with batching, concurrency control, and metrics reporting, simplifying the management of complex data ingestion and processing systems. Broadway is often used for event processing, stream handling, and background jobs, offering both performance and clarity in Elixir’s functional style. -
25
GokuRakuJoudo
config karabiner with ease
...Goku) is a configuration management tool that makes editing Karabiner Elements key remapping configurations far easier by allowing you to write configs in EDN instead of complex JSON, with live watching and native builds via GraalVM. You can see multiple Karabiner rules on you screen as you edit your config with Goku. Which speeds up the iteration speed significantly as you can create new rules as a few characters. Karabiner Elements uses JSON as its config file format. This leads to thousands of lines of JSON (sometimes over 20,000 lines), which makes it really hard to edit the config file and iterate on your keymap.
