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Published directory entries matching your search.
Docs is the official documentation site for OpenClaw, an open-source AI assistant that runs on user-owned hardware and integrates with existing chat applications. The site provides setup guides, runtime references, maintenance instructions, and configuration documentation for the tool.
DreamBooth is a method for personalizing text-to-image diffusion models. Given a few images of a subject and its class name, it fine-tunes a pretrained model so a unique identifier refers to that subject, allowing synthesis of the subject in new scenes, poses, views and lighting, with tasks including subject recontextualization and text-guided view synthesis.
Fairlearn is a Python package hosted on a GitHub repository maintained by the Fairlearn project, designed to assess and improve the fairness of machine learning models. The repository includes documentation covering fairness definitions and a getting started guide for the tool.
Supports teaching, studying or skills practice with AI-guided learning tools.
GANSpace is a public GitHub repository for the research project 'Discovering Interpretable GAN Controls', which was presented at the NeurIPS 2020 conference. The repository includes setup instructions, usage guides, and resources for reproducing the project's results.
A curated UC Berkeley Law Library guide collecting resources on generative AI applications in law school, higher education, and legal practice. It links news, studies, ethics materials and access-to-justice research, and notes that the resources will be regularly updated.
Supports teaching, studying or skills practice with AI-guided learning tools.
golearn is an open-source GitHub repository maintained by sjwhitworth. It provides machine learning capabilities for the Go programming language. The repository includes installation instructions, getting started guides, example use cases, and full project documentation.
The Google Sheets Formula Generator is a free tool that creates paste-ready Google Sheets formulas based on user-described tasks. It includes video walkthroughs and access to over 500 formula guides. Users can generate two formulas for free without signing up.
GradGPT provides tools for grading college essays, profile evaluation, college matching and counseling, built by former admission officers. It scores essays and gives line-by-line feedback without writing the essay for the student. It also offers application guides, college search, a letter of recommendation builder and admit profiles.
Gym4ReaL is an open-source GitHub repository maintained by Daveonwave. It is a Gymnasium-based benchmarking suite for testing reinforcement learning algorithms on real-world scenarios. The repository includes documentation on supported characteristics, reinforcement learning paradigms, folder structure, contribution guidelines, and licensing terms.
H2O Sparkling Water is an open-source GitHub repository maintained by the h2oai organization. It provides H2O machine learning functionality that can run inside Apache Spark clusters. The repository includes getting started guides, user documentation, binary download options, and resources for testing the tool.
Hands-On Large Language Models is an illustrated guide to large language models. It includes over 275 custom figures, working code examples, timelines, and references to key research papers. The book has received positive reviews from Andrew Ng, Nils Reimers, Josh Starmer, Luis Serrano, Leland McInnes, and Prof. DDr. Roman Egger.
A blog guide on FinetuneDB covering best practices for evaluating Large Language Model outputs. It explains what LLM output evaluation is, why it matters, and describes evaluation datasets, model-based judgments and human judgments as approaches for structuring the process.
Humanloop was a development platform for LLM applications that provided management and evaluation of AI applications. The team announced it is joining Anthropic, and the Humanloop platform is to be sunset on September 8th, 2025. A migration guide covers exporting Files, Versions, Logs and Evaluations.
hwchase17/langchain is a GitHub repository for LangChain, an agent engineering platform. The repository hosts resources related to the LangChain ecosystem, including quickstart guides and documentation for users and developers working with the platform.
An open source, MIT-licensed Python library imported as imblearn that relies on scikit-learn. It provides tools for classification with imbalanced classes. The documentation includes installation guides, a user guide, an API reference and a gallery of examples.
Intake is a lightweight package for finding, investigating, loading, and disseminating data. It is hosted on GitHub at https://github.com/intake/intake. The repository includes documentation, installation instructions, development guidelines, and support information.
Japan Neighborhoods provides data-driven neighborhood guides for Japan. It offers crime statistics, safety scores, demographic data, cost of living, and real estate information for over 5,000 Tokyo neighborhoods. The data is sourced from official government sources and presented through safety rankings, interactive maps, and property listings.
Supports teaching, studying or skills practice with AI-guided learning tools.
JSON Schema is a declarative language for annotating and validating JSON documents' structure, constraints, and data types. It enables JSON data consistency, validity, and interoperability, and has a tooling ecosystem of validators, generators, and linters. Documentation covers schema design, guides, and keyword reference.
A beginner-friendly guide on using Keras to implement a simple neural network in Python. It walks through MNIST handwritten digit classification, covering setup, data preparation, building the model, compiling, training, testing and using the model. It is intended for complete beginners to Keras who have a basic background knowledge of neural networks.
A guide that introduces data processing and cleaning in JavaScript, teaching how to load, modify and transform data using JavaScript libraries. It covers tasks geared around preparing data for further analysis and visualization, demonstrated with core JavaScript API, d3.js and lodash. It assumes some basic knowledge of JavaScript.
The Pinecone Learning Center is a resource section of the Pinecone website offering educational content related to Pinecone's AI knowledge platform. Available materials include articles, whitepapers, and guides covering topics such as vector database architecture, hybrid search, and retrieval-augmented generation workflows.
