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Clojure Data Visualisation library, based on Statistiker and D3.
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Epsilla is a high-performance vector database hosted on GitHub under the epsilla-cloud organization. It leverages parallel graph computing for its operations, and offers an experimental option to use it as a Python library without requiring a Docker image, alongside Epsilla Cloud as a deployment option.
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EspNet is an end-to-end speech processing toolkit hosted on GitHub. It is open-source software designed for speech processing tasks, with repository documentation covering installation steps, quick start guidance, and details of supported processing tasks. Contributors can participate in its development via the GitHub platform.
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Eurybia is an open-source tool hosted on GitHub under the MAIF organization. It is designed to monitor model drift over time and secure model deployment processes through data validation functionality, with public documentation covering overview, quickstart, installation, features, and project background.
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EvalML is an AutoML library written in Python that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions. It includes data quality checks, cross-validation, preprocessing, feature engineering, feature selection, and model understanding tools. Install from PyPI or conda-forge.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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Evidently is an open-source observability framework for machine learning and large language models, hosted on GitHub under the evidentlyai organization. It enables users to evaluate, test, and monitor AI-powered systems and data pipelines, with support for use cases ranging from tabular data processing to generative AI, and includes more than 100 built-in metrics.
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EvoAgentX is building a Self-Evolving Ecosystem of AI Agents, it will give you automated framework for evaluating and evolving agentic workflows.
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A fast Evolution Strategy implementation in Python.
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Exadel CompreFace is a free and open-source face recognition system hosted on a GitHub repository maintained by Exadel Inc. Its repository description positions it as a leading face recognition solution.
Open-source project that creates or edits images with generative AI and text-based controls.
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fabric is an open-source framework designed to augment human capabilities using AI. It provides a modular system that uses a crowdsourced set of AI prompts to solve specific problems, and these prompts can be applied across various use cases.
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face_recognition is a GitHub repository maintained by ageitgey that provides what is described as the world's simplest facial recognition API for Python and the command line. The repository includes documentation, installation requirements, and online demos for the tool.
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Faiss is a library for efficient similarity search and clustering of dense vectors, containing algorithms that search sets of vectors of any size. It is written in C++ with complete wrappers for Python/numpy, with some algorithms implemented on the GPU, and is developed primarily at Meta's Fundamental AI Research group.
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ImageBind is a PyTorch implementation with pretrained models from FAIR, Meta AI. It learns a joint embedding across six modalities: images, text, audio, depth, thermal, and IMU data. The release includes code and model weights under the CC-BY-NC 4.0 license.
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Foundational Models for State-of-the-Art Speech and Text Translation.
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Facets is a project containing two visualizations, Facets Overview and Facets Dive, for understanding and analyzing machine learning datasets. The visualizations are Polymer web components backed by TypeScript that can be embedded in Jupyter notebooks or webpages. Overview produces feature-by-feature statistical analysis and compares statistics across datasets. The repository was archived on Jul 27, 2024 and is now read-only.
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FACTORIE is an open-source toolkit for deployable probabilistic modeling, implemented as a software library in Scala and hosted on GitHub under the factorie organization. It provides users with a succinct language for creating relational factor graphs, estimating model parameters, and performing inference, with documentation for installation, example usage, and pre-built NLP models.
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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.
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High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
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FastChat is an open platform for training, serving, and evaluating large language model based chatbots. Its core features include training and evaluation code for models such as Vicuna and MT-Bench, and a distributed multi-model serving system with a web UI and OpenAI-compatible RESTful APIs.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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FastEdit is a repository intended to help developers inject fresh and customized knowledge into large language models using one command. It supports models including GPT-J, LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, and InternLM. The implemented algorithm is Rank-One Model Editing (ROME). It requires Python 3.8+ and PyTorch 1.13.1+.