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Reverse-Engineering is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Rhesis is an open source collaboration layer for AI teams, available as SaaS or self-hosted, with a UI, SDK and MCP. Domain experts annotate and review agent behavior while engineers improve the agent from what they find. Feedback stays attached to the test case and agent version that produced it.
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Robust Bayesian Optimization framework.
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Open-source software for robot simulation, integrated with OpenAI Gym.
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Rocket Py is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Rockpool is a Python package for developing signal processing applications with spiking neural networks. It allows users to build networks, simulate, train and test them, and deploy them in simulation or on event-driven neuromorphic compute hardware. It provides layers with simulation backends including Brian2, Torch, JAX, Numba and raw numpy.
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Rosetta is an open-source data science toolset hosted in the columbia-applied-data-science GitHub repository. It provides tools, wrappers and other utilities for data science workflows, with a specific focus on text processing.
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Rt911 is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Open-source SDK for running LLMs and multimodal models on-device across iOS, Android, and cross-platform apps.
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Open-source runtime for numerical computing that executes MATLAB-syntax code. Built in Rust, it provides a compiler, a virtual machine, and JIT tiers, with a GPU backend powered by wgpu. The project targets CPU and GPU hardware and handles tensor allocations and movement automatically.
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Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).
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Sacred is a tool developed at IDSIA to help configure, organize, log and reproduce experiments. It provides config scopes, config injection, a command-line interface for changing parameters and running variants, and observers that log experiment information, which can be saved to a MongoDB. Automatic seeding helps control randomness so results remain reproducible.
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For calculating global feature importance using Shapley values.
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A CLI utility to train and deploy ML/DL models on AWS SageMaker.
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A GitHub repository for topic modeling the released Sarah Palin emails using latent Dirichlet allocation. It includes scripts to prepare the emails, train an LDA model with Stanford's TMT, infer topics, extract email dates, and explore topics over time. The repository also describes a demo email browser for viewing the organized documents.
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Scalene is a Python profiler that measures CPU, GPU and memory usage. It identifies inefficiencies and can request optimization suggestions from AI providers, including Amazon Bedrock, Microsoft Azure, OpenAI and local models via Ollama. It can be used at the command line or as a Visual Studio Code extension, and installs via pip or conda.
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Scikit-Optimize, or skopt, is a library for minimizing expensive and noisy black-box functions using sequential model-based optimization. It is built on NumPy, SciPy and Scikit-Learn and does not perform gradient-based optimization. The repository was archived by its owner on Feb 28, 2024, and is read-only.
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Scikit-Survival is a Python library that implements survival analysis functionality built on top of the scikit-learn framework. It is hosted as a public open source repository on GitHub for community contributions.
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Scratch Addons is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Screenpipe is an open source tool developed as part of Y Combinator's S26 batch. It records screen activity continuously on a local device to provide context for AI agents including Claude, Codex, Openclaw, Hermes, and Runner.
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Chrome extension that uses local LLMs to assist with writing and drafting responses based on the context of your open tabs.
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SearchifyX is a fast flashcard searcher tool and the predecessor to Searchify. It acts as a webscraper for Quizlet, Quizizz, and Brainly, letting users query questions from these sites and sort results by similarity to the input query. The tool includes a screen OCR scanner, customizable global hotkeys, and stealth features to prevent websites from detecting window focus changes, and is available as both a GUI application and CLI tool for Linux, Mac OS, and Windows. It was created strictly for educational purposes to demonstrate asynchronous webscraping in Python, requiring Python 3.8 dependencies and Tesseract for OCR functionality.
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segmentation models is a software library that provides image segmentation models with pretrained backbones, designed for use with Keras and TensorFlow Keras frameworks. It is available as a public open source repository on GitHub.
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segmentation models.pytorch is a library that offers semantic segmentation models paired with more than 500 pretrained convolutional and transformer-based backbones. It is maintained as an open source project on GitHub.