Search Results for "design experiments"
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Showing 18 open source projects for "design experiments"
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Chaos Mesh
A Chaos Engineering Platform for Kubernetes
Chaos Mesh brings various types of fault simulation to Kubernetes and has an enormous capability to orchestrate fault scenarios. It helps you conveniently simulate various abnormalities that might occur in reality during the development, testing, and production environments and find potential problems in the system. Based on the principles of Chaos Engineering, Chaos Mesh abstracts real-world events into objects that can be directly applied, hiding the trivial details. Chaos Mesh provides... -
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GraphEmbedding
Implementation and experiments of graph embedding algorithms
GraphEmbedding is an open-source Python project for implementing and experimenting with graph embedding algorithms. It follows a simple “graph in, embedding out” design. The library uses NetworkX graphs as input and produces vector representations for graph nodes. It includes implementations of DeepWalk, LINE, Node2Vec, SDNE, and Struc2Vec. Users can configure walks, embedding dimensions, training windows, epochs, and other model-specific parameters. Example scripts demonstrate how to train... -
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Neuro SAN Studio
A playground for neuro-san
Neuro SAN Studio is a development environment and playground for building, testing, and deploying multi-agent AI systems using the Neuro SAN framework. It provides a hands-on interface where users can design agent networks, run experiments, and observe how multiple agents collaborate to solve complex tasks. The platform is built around a data-driven approach, where entire agent systems can be defined using configuration files rather than extensive code, making it accessible to both developers and domain experts. It supports advanced orchestration through decentralized communication protocols, allowing agents to dynamically delegate tasks and adapt to changing requirements. ... -
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SwissGL
SwissGL is a minimalistic wrapper on top of WebGL2 JS API
...The library centers around one main function that unifies rendering and compute operations, allowing the creation of particle systems, GPGPU effects, and real-time simulations entirely on the GPU. Despite its simplicity and small size (under 1000 lines of code), SwissGL demonstrates remarkable flexibility, from basic visual experiments to complex multi-pass rendering pipelines. It’s also designed as an exploration of minimalist graphics API design, serving as an early experimental step toward the upcoming WebGPU era. -
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iCSS
More than CSS
...Materials are continuously updated and organized by category, helping frontend developers discover new approaches to solving UI and visual design challenges. The repository aims to broaden developers’ thinking about what can be achieved purely with CSS and native browser capabilities. Overall, iCSS serves as a high-value reference and inspiration hub for frontend engineers seeking to push the boundaries of modern CSS. -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
...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. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to plug in custom models, track experiments, tune hyperparameters, and generate visualizations that highlight anomalous regions. Its design supports unsupervised or semi-supervised paradigms, making it especially powerful for scenarios where only “normal” data is readily available and defects must be detected without exhaustive labeling. Combined with its CLI and integration with optimization tools like OpenVINO, it’s suitable for both research and edge deployment tasks. -
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MSA: Memory Sparse Attention
Trainable latent-memory framework for 100M-token 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. Its Memory Parallel engine distributes scoring and transfers only selected memory back to the accelerator. Memory Interleave alternates retrieval, context expansion, and generation to improve multi-hop reasoning across distant segments. The project reports experiments extending from 16K to 100M tokens, including inference on two A800 GPUs. -
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Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation,... -
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microui
A tiny immediate-mode UI library
microui is a tiny immediate-mode user interface library designed for developers who want a minimal UI foundation without a heavy framework. It follows the immediate-mode pattern, where the interface is rebuilt each frame from application state instead of being stored as a large retained widget tree. The project is intentionally small and gives developers room to add their own controls, rendering backends, and interaction patterns. It is especially useful for tools, games, editors, embedded... -
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Clone Wars
100+ open-source clones of popular sites like Airbnb, Amazon
The Clone Wars project is a framework designed to replicate or simulate the behavior of AI agents, workflows, or systems in a modular and extensible way. It focuses on enabling users to create multiple instances of similar agents or processes, allowing for experimentation, comparison, and scaling. The project emphasizes reproducibility, making it easier to test variations of prompts, configurations, or agent architectures. It can be used to explore how different setups impact performance or... -
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Flutter Vignettes
A collection of fun Flutter experiments, created by gskinner
...Each vignette is a self-contained demo focusing on visuals, animations, or interactions, often pushing the boundaries of what Flutter’s rendering engine can achieve. Examples include custom UI widgets, fluid animations, and interactive design concepts. The project is intended to inspire developers and demonstrate Flutter’s potential for building expressive, high-quality experiences. It’s not only a code resource but also a design showcase, blending engineering and artistry. By presenting small, focused experiments, flutter_vignettes encourages experimentation and learning while illustrating Flutter’s strengths in rapid UI prototyping. -
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ClassyVision
An end-to-end PyTorch framework for image and video classification
Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring... -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or... -
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End-To-End
End-To-End is a crypto library to encrypt, decrypt, digital sign
...It packaged a JavaScript crypto library, UI elements, and a browser extension workflow that could integrate with webmail-style UIs without server changes. The codebase emphasized careful key handling, usability experiments around key discovery and verification, and mitigations against common web threats like XSS. While the project ultimately transitioned into successor efforts, it helped push discussions about practical E2EE in mainstream web apps and the ergonomics of PGP-style workflows. Security researchers and product teams used it as a design reference for client-side cryptography and the trade-offs of operating inside a hostile web page. -
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JAS-mine
Toolkit for agent-based & dynamic microsimulation modelling
...It has built-in utilities for communicating with an underlying relational database. In addition, the platform provides standard tools which are frequently used both in agent-based modelling and dynamic microsimulations, like design of experiments (DOE), run-time monitoring and visualization with plots and graphs (GUI), I/O communication and statistical analysis. JAS-mine source code can be found on GitHub, with the core repository at: https://github.com/jasmineRepo/JAS-mine-core and the GUI repository at: https://github.com/jasmineRepo/JAS-mine-gui -
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Odin Map Generator
Map Generation Application and API
Odin is a map generator derived from map generation experiments for a video game called Crypts of Eldor; after requests to release the tool, a decision was made to release a map editor based on this code. Additionally, a Java API is provided so that the map generator can be integrated into new software. -
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ArnoldC
Arnold Schwarzenegger based programming language
ArnoldC is a programming language built as a joke language, where the entire syntax is based on quotes from Arnold Schwarzenegger movies. Instead of conventional keywords and operators, it uses memorable movie lines to represent programming constructs like conditionals, loops, and functions. For example, “IT’S SHOWTIME” starts the main method, “TALK TO THE HAND” represents output, and “I’LL BE BACK” denotes a return statement. While humorous in nature, the language is fully functional and... -
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Novm
Experimental KVM-based VMM for containers, written in Go
novm is an experimental, minimalist virtual machine monitor that explores running Linux guests with a streamlined user-space control plane. Its goal is fast, scriptable VM lifecycle management—boot, snapshot, pause, resume—without the heft of a full cloud stack. The design favors small, understandable code paths around KVM and tap networking so developers can reason about isolation and performance trade-offs. It showcases patterns like process-per-VM supervision, concise configuration, and direct mapping of devices needed for common development workloads. As a research vehicle, novm emphasizes hackability over feature completeness, making it useful for instrumentation experiments, educational deep dives, or bespoke CI sandboxes. ...
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