Search Results for "design experiments" - Page 2
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Showing 80 open source projects for "design experiments"
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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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Chromatone
Chromatone is a digital garden of visual music theory
Cards and short overviews on the physics and physiology of vision and hearing and their intersection at visual music research, exploration, practice, and self-expression. Useful tools to have in the pocket like a pack of interactive cards to learn and use in everyday music practice. These are open source web experiments with different aspects of sound and color. Chromatone is an open source research and design project to explore, develop and implement the scientific way of visual music education, communication and performance. We've discovered complete and coherent Visual Music Language there. It's evolving through further merging colors with notes, rhythms with shapes, intervals with gradients, chords and scales with palettes. ... -
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WavTokenizer
SOTA discrete acoustic codec models with 40/75 tokens per second
...Extensive experiments show that WavTokenizer matches or surpasses previous neural codecs across speech, music, and general audio on both objective metrics and subjective listening tests. -
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Matrix
Multi-Agent daTa geneRation Infra and eXperimentation framework
...That design makes Matrix particularly well-suited for large-batch inference, model benchmarking, data curation, augmentation, or generation — whether for language, code, dialogue, or multimodal tasks. It supports both open-source LLMs and proprietary models (via integration with model backends), and works with containerized or sandboxed environments for safe tool execution or external code runs. -
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The Arcade Learning Environment
The Arcade Learning Environment (ALE) -- a platform for AI research
Arcade Learning Environment (ALE) is a widely used open-source framework that wraps hundreds of Atari 2600 games via an emulator and presents them as RL environments for AI agents. It decouples the game/emulation aspects from the agent interface, providing a clean API (C++, Python, Gymnasium) so researchers can focus on agent design rather than game plumbing. This environment suite has been central to many RL breakthroughs, including value-based agents, deep Q-nets, and general-agent... -
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STK
a Small (Matlab/Octave) Toolbox for Kriging
...Its primary focus in on the interpolation / regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.). -
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Deep Learning Models
A collection of various deep learning architectures, models, and tips
...Examples span fundamental architectures—MLPs, CNNs, RNN/Transformers—and practical tasks like image classification or text modeling. Reproducible training scripts and configuration files make it straightforward to rerun experiments or adapt them to your own datasets. The repo often pairs implementations with notes on design choices and trade-offs, turning it into both a toolbox and a learning resource. It’s suitable for students, researchers prototyping ideas, and practitioners who want clean baselines before adding complexity. -
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# Research Archive see README.md ## Overview This directory is the working archive for PXOS, analog/pixel-native computing, and related research initiatives. It currently holds more than 2,800 source notes, design briefs, and exploratory writeups created between successive project sprints. Content spans architecture proposals, roadmap experiments, ethics frameworks, technical deep dives, and supporting assets such as workspace settings and compressed bundles.
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StarFishDAQ
A general purpose data acquisition system and development platform.
...This allows more control, customization, and future applicability without sinking a ton of effort. The SFDQ can be used simply and quickly, as-is in proof-of-concent experiments and protoypes. Another use is to customize the design by removing features that are unneeded for a project, adding new, specific features and designing custom versions for a project. A hybrid approach is also useful: adding custom hardware to an expansion PCB, while using the vanilla PCB as is. All approaches result in a faster bring-up with more focus on project specific features, and less on table-stakes tech. -
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Amphion
Toolkit for audio, music, and speech generation
...A distinctive feature of Amphion is its emphasis on visualization: it offers interactive visualizations of model architectures and generation processes, making it easier to understand how complex generative audio models work. The toolkit is organized with example experiments (“egs”) and visualization demos that guide users through training, evaluation, and inspection of models. Built on the broader OpenMMLab ecosystem, Amphion follows modular design patterns and configuration systems similar to other OpenMMLab projects, easing adoption for users who are already familiar with that stack. -
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50mb
Audio Tools, Sound, Experiments, WAV
50mb. Originally a music label. Here is our audio tools project page. Currently having a clean up. Our tool random audio generator for experimental sounds etc. -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, DB repo, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator: https://acims.asu.edu/devs-suite/ OFFERS: 1) synchronized execution & animation, 2) run-time linear/superdense I/O & state trajectories, 3) Action Level Real-Time modeling & simulation, 4) model checking, 5) ABM, 6) CA & composable CA playback, 7) KIB interaction modeling, 8) hierarchical model libraries, 9) Black-Box testing & debugging, 10) PostgreSQL repository, 11) FMU (OpenModelica), 12) OSATE (AADL)... -
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Geographical Adventures
Geography game about delivering packages
...It emphasizes modular design, enabling different components such as terrain, noise functions, and rendering systems to be reused or extended. The code is structured to be approachable, making it suitable for developers interested in game development or simulation. It also highlights the creative potential of procedural systems in building large-scale environments. -
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MMClassification
OpenMMLab Image Classification Toolbox and Benchmark
...We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to re-implement existing methods and develop their own new classifiers. MMClassification mainly uses python files as configs. The design of our configuration file system integrates modularity and inheritance, facilitating users to conduct various experiments. -
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PARL
A high-performance distributed training framework
PARL is a scalable reinforcement learning framework built on top of PaddlePaddle. It focuses on modularity and ease of use, supporting distributed training and a variety of RL algorithms. -
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MeshCNN in PyTorch
Convolutional Neural Network for 3D meshes in PyTorch
...The project provides training pipelines, dataset preparation tools, and visualization utilities to support experiments with mesh-based neural networks. -
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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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fairseq-lua
Facebook AI Research Sequence-to-Sequence Toolkit
fairseq-lua is the original Lua/Torch7 version of Facebook AI Research’s sequence modeling toolkit, designed for neural machine translation (NMT) and sequence generation. It introduced early attention-based architectures and training pipelines that later evolved into the modern PyTorch-based fairseq. The framework implements sequence-to-sequence models with attention, beam search decoding, and distributed training, providing a research platform for exploring translation, summarization, and... -
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BitTiger
Lifelong Learning University from Silicon Valley
...It includes structured modules on algorithms, system design, and emerging technologies, along with hands-on examples such as blockchain implementations and AI experiments. -
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This data set contains data for virtual experiments for an undergraduate course from the Pontificia Universidad Católica del Perú. It constitutes the Supporting Information for a scientific article entitled "Application of blended physical-virtual experiments and flipped instruction in a fundamental fluid mechanics course: a design-based research study" submitted to Computer Applications in Engineering Education.
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GelJ
GelJ is a Java program for the analysis of DNA gel fingerprints images
GelJ is a Java application designed for analysing DNA fingerprint images. GelJ is a feather-weight, user-friendly, open-source and free tool that combines the simple design of free systems with instrumental features for DNA fingerprinting that are only available on commercial tools. Some of the outstanding features of GelJ are functionality for accurate lane- and band-detection, several methods for computing migration models and generating dendrograms, comparison of banding patterns from different experiments, and database support. ... -
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newlearnerspermit
C for programmable guitar amp
This project experiments with C language to discover and design a programmable guitar amplifier effects micro controller computer section of a tube and solid state designed guitar amp. This a collaboration electronics project with my son. The goal of this project is to use Arduino hardware with C language programming to manipulate the guitar signal by various effects of phaser, flanger, reverb, digital delay and echo, and tremelo. -
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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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magicCss
CSS3 whimsy, single label implements various graphics
...It explores advanced techniques such as gradients, blend modes, clip-path usage, and animation timing to construct visually rich UI elements without relying on images or JavaScript-heavy solutions. The repository is organized as a gallery of experiments, each illustrating a specific visual trick or pattern that can be studied and reused. By emphasizing minimal markup and clever styling, it encourages performance-conscious and elegant front-end design practices. Overall, magicCss functions as both a learning resource and a creative playground for modern CSS experimentation. -
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GazeRecorder
WebCam Eye Tracking for usability testing
WebCam Eye-Tracker. GazeRecorder automatically records using ordinary webcams, where people look and what they engage with on their computer screens. In comparison with conventional eye tracking - that uses specialized technology and invites respondents to labs – GazeRecoreder is able to track people’s eyes with their own computers at home. Multiple state-of-the-art tracking algorithms communicate to identify the face, key features, eyes, iris and movements in 3D, allowing for the...
