Search Results for "research" - Page 5
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Showing 3506 open source projects for "research"
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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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Eagleye
Precise localization based on GNSS and IMU
...Eagleye provides highly accurate and stable vehicle position and orientation by using GNSS Doppler[2][3][4][5][6]. The flowchart of the algorithm is shown in the figure below. The algorithms in this software are based on the outcome of the research undertaken by the Machinery Information Systems Lab (Meguro Lab) at Meijo University. -
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rollama
Wrap the Ollama API, which allows you to run different LLMs
...It is designed to make LLM usage accessible to data scientists and researchers who work primarily in R, allowing them to generate text, analyze data, and create embeddings without relying on external cloud services. The package emphasizes reproducibility and privacy by enabling local execution of models, which is especially valuable for sensitive or research-oriented workflows. It supports common LLM tasks such as text generation, annotation, and embedding creation, making it useful for tasks like document analysis and data labeling. The design mirrors familiar R workflows, allowing users to integrate AI capabilities into scripts, notebooks, and data pipelines with minimal friction. ... -
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Flax
Flax is a neural network library for JAX
...Flax emphasizes composability: optimizers, training loops, and checkpointing are provided as examples or utilities rather than monolithic frameworks, encouraging research-friendly customization. The library is widely used in vision, language, and reinforcement learning, often serving as a thin layer atop NumPy-like JAX primitives. Tutorials and examples show patterns for multi-host training, mixed precision, and advanced input pipelines that scale from laptops to TPUs. -
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Haiku
JAX-based neural network library
Haiku is a library built on top of JAX designed to provide simple, composable abstractions for machine learning research. Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX’s pure function transformations. Haiku is designed to make the common things we do such as managing model parameters and other model state simpler and similar in spirit to the Sonnet library that has been widely used across DeepMind. ... -
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Open LLMs
A list of open LLMs available for commercial use
Open LLMs, by the same author behind applied-ml — serves as a curated directory of open large language models (LLMs) that are available for commercial or open-source use. Rather than proprietary or closed-source LLMs, this repo focuses on freely available or permissively licensed models that practitioners can download, run, fine-tune or integrate without restrictive licensing. For teams or developers interested in experimenting with LLMs but wanting to avoid vendor lock-in or licensing... -
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NGINX Admin’s Handbook
How to improve NGINX performance, security, and other important things
nginx-admins-handbook is a practical, in-depth guide for configuring, securing, and operating NGINX across real-world deployments. It distills years of research, notes, and field experience into a single handbook that complements the official docs with concrete rules, explanations, and curated external references. The handbook spans fundamentals and advanced topics alike, from HTTP and SSL/TLS basics to reverse proxy patterns, performance tuning, debugging workflows, and hardening strategies. ... -
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GPTs
Leaked prompts of GPTs
...Because the project involves prompts described as leaked or contributed from multiple sources, users should approach it carefully and avoid reusing anything that may be private, proprietary, or unauthorized. Its main value is as a research reference for understanding prompt design patterns in real assistant configurations. -
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TileLang
Domain-specific language designed to streamline the development
...The project includes autotuning, debugging tools, layout visualization, compiler diagnostics, and an LSP for editor assistance. Kernels can be integrated with PyTorch and compiled for several modern accelerator families. TileLang aims to combine research-friendly productivity with performance close to specialized hand-tuned kernels. -
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MSA: Memory Sparse Attention
Trainable latent-memory framework for 100M-token contexts
MSA, or Memory Sparse Attention, is a research framework for scaling language-model memory to extremely long contexts. It replaces full attention over all tokens with sparse selection of compressed latent memory states. Document-wise rotary position encoding and top-k routing keep training and inference close to linear complexity. A tiered KV-cache design stores routing keys on GPU while larger content states can remain on CPU. -
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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pi-subagents
Pi extension for async subagent delegation with truncation
pi-subagents is an extension for the Pi coding agent that lets a parent session delegate focused work to independent child agents. Built-in specialists handle tasks such as codebase scouting, external research, planning, implementation, review, context gathering, and second-opinion analysis. Child sessions can run in the foreground with streamed results or continue asynchronously as background jobs. Agents can be composed into sequential chains, parallel groups, reusable workflows, and more durable missions. Custom agent definitions control prompts, models, tools, skills, context inheritance, permissions, timeouts, and output behavior through Markdown frontmatter. ... -
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bilibili-API-collect
Community-maintained documentation project
bilibili-API-collect was a community-maintained documentation project that cataloged Bilibili interfaces used by its web, mobile, and TV clients. It researched undocumented endpoints through techniques such as black-box testing, traffic inspection, application analysis, and controlled experimentation. The documentation covered REST, gRPC, and WebSocket interfaces along with request structures, response formats, authentication concepts, errors, and platform-specific behavior. Major sections... -
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Advanced Search Operators List
List of the links to the docs for different services
...The repository also catalogs browser extensions and tools that help users construct advanced queries. It is intended to make precise information retrieval easier across platforms with very different search languages. The collection functions as a research reference rather than an executable search tool. -
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Rules And Scripts
Shunt rules, rewrite rules, and scripts
Rules And Scripts is a large rules-and-scripts repository for traffic routing rules, rewrite rules, and automation scripts. It organizes community-sourced rule material and script resources into a single reference collection. The project is mainly written for learning and research around ES6 and rule-based automation. It includes routing rules, rewrite resources, external collections, icons, blank templates, and automation scripts. Some scripts are prepared for Quantumult X Gallery and BoxJS-style subscription workflows. Because the repository depends on third-party tools, external rule data, and user-filled configurations, users need to evaluate legality, accuracy, and suitability for their own environment. -
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DeepSpec
A full-stack codebase for training and evaluating speculative decoding
DeepSpec is a full-stack codebase for training and evaluating draft models used in speculative decoding. It provides the components needed to prepare data, train draft models, and measure acceptance behavior against target models. The workflow starts with data preparation, including prompt download, target answer regeneration, and target cache construction. It then trains a draft model using configuration files for different algorithms and target model setups. The evaluation pipeline... -
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scalar_objects
Extension that adds support for method calls on primitive types in PHP
...It allows API ideas to be prototyped in userland before any proposal for deeper language integration. Overall, it is most useful for PHP language experimentation, API design research, and exploring how object-style operations on scalar values could work. -
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Popcorn
Running Elixir in the browser
...It is intended for developers who want to explore client-side Elixir workflows without relying entirely on server-side execution. The project is still early and may introduce breaking changes, so it is best suited for experimentation, prototypes, and research rather than stable production use. Popcorn connects Elixir’s programming model with browser-based execution, opening the door for local interactive experiences and future LiveView-style ideas. It is useful for developers interested in WebAssembly, local-first interfaces, and alternative ways to build browser applications. Its main value is exploring what Elixir development can look like when part of the application logic runs directly on the client. -
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programmer-job-blacklist
Programmer job search blacklist, be careful when changing jobs
...It primarily focuses on the Chinese technology sector but has gained broader recognition as an example of community-driven labor awareness in software engineering. The repository organizes reports, discussions, and references in a structured format that allows developers to research employers before accepting positions. Its existence reflects growing concern within the software industry regarding burnout, labor exploitation, and workplace accountability. -
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discrawl
cli for Discord with sqlite backend
discrawl is a command-line and database-driven tool for archiving, syncing, and searching Discord server content locally using a SQLite backend. The project allows users to mirror Discord conversations and metadata into a searchable offline database, making it useful for analytics, moderation, research, and long-term archival workflows. It supports synchronization through both Discord bot APIs and local desktop cache imports, giving users flexibility in how data is collected and updated. The system includes commands for searching messages, tailing live updates, and maintaining synchronized archives through incremental sync operations. ... -
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RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
...It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations into search, reasoning, or generative systems. The repository reflects a research-forward approach that blends practical utilities with experimental agentic concepts, encouraging exploration of emerging AI design patterns. It is intended for developers building sophisticated AI-powered applications who need flexible vector handling and integration capabilities. -
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Map of GitHub
Inspirational Mapping
Map-of-GitHub is an inventive project that visually represents the global distribution of GitHub users and repositories on a map of the world, revealing geographic patterns and community concentrations across countries and cities. The project processes GitHub account metadata and GPS or location information (when available) to plot users’ locations and draw connections between communities, resulting in an exploratory visualization where density and network effects become instantly visible.... -
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Bacalhau
Community-driven, simple, yet powerful framework
...Bacalhau supports various runtime environments and is designed to make decentralized data processing as accessible as traditional cloud computing. It’s especially useful for large-scale AI/ML jobs, scientific research, and content indexing in Web3 ecosystems. -
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ice
The progressive framework based on React
...Provide a variety of vertical field templates and blocks, quickly create projects, support style switching, and meet individual needs. Free collocation of materials, integration of development and debugging, covering the whole process management of project research and development, ready to use out of the box. Make front-end development faster, better, and easier. More than 400 projects are in use, continuous, reliable and stable, immediate and effective service. -
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Impacket
A collection of Python classes for working with network protocols
...It was primarily created in the hopes of alleviating some of the hindrances associated with the implementation of networking protocols and stacks, and aims to speed up research and educational activities. It provides low-level programmatic access to packets, and the protocol implementation itself for some of the protocols, like SMB1-3 and MSRPC. 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. ... -
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Groq Python
The official Python Library for the Groq API
...The SDK handles authentication (via environment variable or parameter), defines proper type-safe request/response data types, and supports both synchronous and asynchronous usage patterns depending on your application needs. This makes it easy to integrate Groq-powered AI capabilities into backend services, data pipelines, research notebooks, or applications written in Python. For those building AI-based tooling, automation scripts, or ML-backed backends, groq-python abstracts away HTTP request plumbing and exposes a clean API, accelerating development and reducing boilerplate. -
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too. To simplify both usage and development, we split PCL into a series of modular libraries. ...
