Search Results for "research" - Page 4
Sort By:
Showing 2097 open source projects for "research"
View related business solutions-
$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.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
Pacu
The AWS exploitation framework, designed for testing security
...Written in Python 3 with a modular architecture, Pacu has tools for every step of the pen testing process, covering the full cyber kill chain. Pacu is the aggregation of all of the exploitation experience and research from our countless prior AWS red team engagements. Automating components of the assessment not only improves efficiency but also allows our assessment team to be much more thorough in large environments. What used to take days to manually enumerate can be now be achieved in minutes. There are currently over 35 modules that range from reconnaissance, persistence, privilege escalation, enumeration, data exfiltration, log manipulation, and miscellaneous general exploitation. -
2
Faiss
Library for efficient similarity search and clustering dense vectors
...It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. Vectors that are similar to a query vector are those that have the lowest L2 distance or the highest dot product with the query vector. ... -
3
Image Harmonization Dataset iHarmony4
The first large-scale public benchmark dataset for image harmonization
...The iHarmony4 dataset comprises four sub-datasets (HCOCO, HAdobe5k, HFlickr, Hday2night), each making composite images by combining a foreground from one image with a background from another, along with associated ground truth harmonized images and foreground masks. The dataset is intended as a benchmark resource to enable and standardize research in image harmonization. Each composite sample has: composite image, foreground mask, and corresponding real harmonized image. -
4
Fabric
Fabric is an open-source framework for augmenting humans using AI
Fabric is a command-line framework that turns a curated library of prompt “patterns” into reusable, automatable workflows for large language models. Instead of repeatedly crafting ad-hoc prompts, you pick a pattern (for research, summarization, brainstorming, code review, and more) and feed it inputs or files. The tool standardizes execution with configuration files and environment variables, enabling reproducible runs across different models and providers. Patterns can be customized with variables, chained into pipelines, and applied to entire directories, which helps scale editorial or analytical tasks. ... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
5
Yampa
Functional Reactive Programming domain-specific language
Yampa is a Functional Reactive Programming (FRP) library for Haskell, specifically designed for modeling hybrid systems that involve both continuous and discrete time behaviors, such as games, simulations, robotics, and reactive systems. Based on the concept of signal functions, Yampa offers a declarative way to model time-varying values and their transformations, making it easier to manage complex time-based logic without resorting to imperative state management. It is grounded in strong... -
6
AIMET
AIMET is a library that provides advanced quantization and compression
Qualcomm Innovation Center (QuIC) is at the forefront of enabling low-power inference at the edge through its pioneering model-efficiency research. QuIC has a mission to help migrate the ecosystem toward fixed-point inference. With this goal, QuIC presents the AI Model Efficiency Toolkit (AIMET) - a library that provides advanced quantization and compression techniques for trained neural network models. AIMET enables neural networks to run more efficiently on fixed-point AI hardware accelerators. ... -
7
Orleans
Orleans is a cross-platform framework for building distributed apps
...As such, it helps developers experienced with single-server applications transition to building resilient, scalable cloud services and other distributed applications. For this reason, Orleans has often been referred to as "Distributed .NET". It was created by Microsoft Research and introduced the Virtual Actor Model as a novel approach to building a new generation of distributed systems for the Cloud era. The core contribution of Orleans is its programming model which tames the complexity inherent to highly-parallel distributed systems without restricting capabilities or imposing onerous constraints. -
8
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. -
9
GSD Core
Meta-prompting, context engineering, spec-driven development system
GSD Core is the core framework behind Open GSD, a workflow system for AI-assisted software engineering. It is designed to keep agent-driven development organized by turning vague goals into structured research, plans, tasks, implementation phases, verification steps, and handoffs. The project focuses on cleaner context, verified work, and more honest project history when working with coding agents. It supports installation across several AI coding runtimes and offers profiles for different levels of workflow surface area. The system is especially useful for developers who use AI agents heavily and need more discipline around planning, execution, and review. ... -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
-
10
xAI Python SDK
The official Python SDK for the xAI API
...Developers can use it to generate text, images, videos, and structured outputs through xAI’s model services. The package is built for direct integration into Python projects, making it useful for backend apps, automation scripts, AI tools, research prototypes, and production workflows. It uses xAI’s native gRPC interface, which is intended for high-performance communication with the API. The SDK is especially useful for developers who want a first-party, Python-native way to work with Grok and related xAI services without manually handling low-level API calls. -
11
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. -
12
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. -
13
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.... -
14
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. -
15
Easy3D
Efficient library for processing 3D data
Easy3D is a lightweight, easy-to-use, and efficient library for processing and rendering 3D data, implemented in C++ with Python bindings. It is designed for tasks such as 3D modeling, geometry processing, and rendering, emphasizing simplicity and efficiency. Easy3D serves as a valuable tool for research, education, and the development of sophisticated 3D applications, providing a solid foundation for handling 3D data. -
16
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. -
17
Vaadin Framework
Vaadin 6, 7, 8 is a Java framework for modern Java web applications
...Vaadin simplifies the process with an integrated web app development platform for Java backends. Vaadin comes with all the UI components, frameworks, and tools you need to build a reliable, secure, app with great UX. Research shows that good user experience (UX) increases employee engagement, helps digital transformations to succeed, and avoids costly mistakes. The Vaadin Design System provides UI components and UX patterns that help you build consistently good user experiences in every app. Better yet, you can use it to build a custom design system for your organization. ... -
18
SIA
AI framework to autonomously improve the performance of any AI system
...It uses an iterative loop where a meta-agent creates or updates a task-specific target agent, while a feedback agent studies results and proposes improvements. The framework can refine both the harness around the task and the agent implementation itself. It is aimed at research and experimentation across tasks such as machine learning benchmarks, legal classification, code optimization, and scientific workflows. It includes built-in tasks, a command-line runner, and a visual dashboard for following generations as they evolve. It also lets users define custom providers, profiles, seed agents, and task directories without changing the core code. -
19
min-sized-rust
How to minimize Rust binary size
min-sized-rust is a practical, research-oriented repository that demonstrates how to aggressively reduce the size of compiled Rust binaries through a combination of compiler flags, linker optimizations, and code-level techniques. By default, Rust prioritizes performance, debuggability, and compile speed, which often results in relatively large binaries, especially in debug mode or when including standard libraries. -
20
CoreNet
CoreNet: A library for training deep neural networks
...Its distributed runtime manages synchronization, load balancing, and mixed-precision computation to maximize throughput while minimizing communication bottlenecks. CoreNet integrates tightly with Apple’s proprietary ML stack and hardware, serving as the foundation for research in computer vision, language models, and multimodal systems within Apple AI. The framework includes monitoring tools, fault tolerance mechanisms, and efficient checkpointing for massive training runs. -
21
Grey Wolf Optimizer for Path Planning
Grey Wolf Optimizer (GWO) path planning/trajectory
...Users can adjust objective function weights and experiment with multiple heuristic search strategies to explore optimal solutions. This project demonstrates applications in multi-agent and multi-UAV cooperative path planning, making it useful for research and educational purposes in the field of intelligent optimization and robotics. -
22
Metarget
Framework for automatic construction of vulnerable infrastructures
Metarget = meta- + target, a framework providing automatic constructions of vulnerable infrastructures, used to deploy simple or complicated vulnerable cloud native targets swiftly and automatically. During security research, we might find that the deployment of a vulnerable environment often takes much time, while the time spent on testing PoC or ExP is comparatively short. In the field of cloud-native security, thanks to the complexity of cloud-native systems, this issue is more terrible. There are already some excellent security projects like Vulhub, and VulApps in the open-source community, which pack vulnerable scenes into container images so that researchers could utilize them and deploy scenes quickly. ... -
23
OpenWPM
A web privacy measurement framework
OpenWPM is a web privacy measurement framework that makes it easy to collect data for privacy studies on a scale of thousands to millions of websites. OpenWPM is built on top of Firefox, with automation provided by Selenium. It includes several hooks for data collection. Check out the instrumentation section below for more details. OpenWPM is tested on Ubuntu 18.04 via TravisCI and is commonly used via the docker container that this repo builds, which is also based on Ubuntu. Although we... -
24
RecBole
A unified, comprehensive and efficient recommendation library
...RecBole is developed based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose. It can be installed from pip, conda and source, and is easy to use. We have implemented more than 100 recommender system models, covering four common recommender system categories in RecBole and eight toolkits of RecBole2.0, including General Recommendation, Sequential Recommendation, Context-aware Recommendation, and Knowledge-based Recommendation and sub-packages. -
25
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. ...
