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Adobe AI-DL-ML-LLM related GitHub Repositories
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For the top 15 GitHub repos, ask for 10 paragraphs. e.g. Amazon SageMaker Features, Amazon SageMaker Alternatives, Amazon SageMaker Security, , Amazon SageMaker DevOps
Adobe Cloud Machine Learning Ecosystem
In 2020, Adobe introduced the Cloud Machine Learning Ecosystem, a comprehensive toolkit designed to facilitate the development and deployment of machine learning models leveraging data from the Adobe Experience Platform. This ecosystem provides a series of notebooks that illustrate end-to-end workflows across various cloud ML platforms, encompassing data exploration, featurization, model training, scoring, and targeting. By integrating these components, the ecosystem streamlines the process of building and operationalizing ML models within the Adobe cloud environment.
https://github.com/Adobe-Marketing-Cloud/aep-cloud-ml-ecosystem
Adobe Research GitHub Repositories
Adobe Research maintains a diverse collection of repositories on GitHub, focusing on areas such as machine learning, computer vision, deep learning, and computer graphics. Notable projects include DiffusionHandles, a training-free method enabling 3D-aware image edits using pre-trained diffusion models, and SuperGaussian, a tool for generic 3D upsampling. These repositories reflect Adobe's commitment to advancing AI technologies and fostering innovation in digital media processing.
Adobe Tripod
In 2021, Adobe released Tripod, a tool and ML model designed for computing latent representations for large sequences, applicable to source code and text. Tripod has been utilized in tasks such as malicious code detection, sentiment analysis, information retrieval, and anomaly detection. It offers a quick demonstration via a Colaboratory Notebook with GPU acceleration, showcasing its capabilities in processing and analyzing sequential data.
Adobe Convmelspec
Introduced in 2021, Convmelspec is a convertible melspectrogram implementation via 1D convolutions, addressing the challenge of deploying audio machine learning models across platforms like ONNX and CoreML. By reusing standardized neural network operators to implement the short-time Fourier transform (STFT) through 1D convolutions, Convmelspec facilitates cross-platform deployment of audio ML models, enabling efficient computation of melspectrograms without relying on platform-specific implementations.
Adobe MetaAF
In 2022, Adobe introduced MetaAF, a framework that enables meta-learning optimizers for near-arbitrary adaptive filters applicable to any differentiable objective. The MetaAF package manages online overlap-save and overlap-add for single/multi-channel and single/multi-frame filters, including generic implementations of algorithms like LMS, RMSProp, and RLS. This framework facilitates the development of adaptive filtering solutions in machine learning applications.
Adobe DeepAFx
Released in 2021, DeepAFx integrates third-party audio effects plugins as differentiable layers within deep neural networks. This approach allows deep encoders to analyze sounds and learn to control audio effects, performing signal manipulation within a deep learning framework. By incorporating non-differentiable effects layers and computing gradients via a fast, parallel stochastic approximation scheme, DeepAFx enables efficient end-to-end backpropagation during training.
Adobe Stringlifier
In 2021, Adobe introduced Stringlifier, an open-source ML library designed for detecting random strings in raw text. It provides functionalities for text analysis, clustering, and classification, utilizing techniques such as TF-IDF and long short-term memory (LSTM) networks. Stringlifier facilitates the processing and categorization of textual data, aiding in tasks like anomaly detection and information retrieval.
Adobe Sensei AI Functions
Adobe Sensei AI Functions is a framework that enables the creation of AI compositions powered by Adobe Sensei and Adobe I/O Runtime. It allows developers to build and deploy AI-driven functionalities within their applications, leveraging Adobe's AI capabilities to enhance user experiences through intelligent features and automation.
Adobe Frontend Regression Validator
The Frontend Regression Validator is a visual regression tool developed by Adobe to compare visual differences between web pages. It assists in identifying unintended changes in web applications by capturing and comparing screenshots, ensuring visual consistency across different versions. This tool is particularly useful in maintaining the integrity of user interfaces during development and deployment cycles.
Adobe DiffusionRig
In 2023, Adobe released DiffusionRig, a codebase for diffusion-based rigging of 3D models. This tool facilitates the manipulation and animation of 3D assets using diffusion models, enabling more intuitive and flexible control over 3D content creation. DiffusionRig represents Adobe's efforts to integrate advanced AI techniques into digital content creation workflows.
https://github.com/adobe-research/diffusion-rig
Adobe ImageFolder
In 2023, Adobe released ImageFolder, a dataset designed to facilitate research in computer vision and machine learning. This dataset provides a structured collection of images categorized into folders, enabling researchers to develop and evaluate image classification algorithms effectively.
Adobe MagicFixup
Introduced in 2023, MagicFixup is a tool developed by Adobe to automate the correction of image artifacts. Utilizing advanced deep learning techniques, it identifies and rectifies imperfections in images, enhancing visual quality and streamlining the editing process for designers and photographers.
Adobe DynaSaur
In 2023, Adobe unveiled DynaSaur, a framework for creating large language agents capable of performing tasks beyond predefined actions. By leveraging large language models (LLMs), DynaSaur enables the development of intelligent agents that can understand and execute complex instructions in natural language, expanding the capabilities of automated systems.
Adobe Gen2Res
Released in 2023, Gen2Res is a project by Adobe focusing on generative models for image resolution enhancement. It employs generative adversarial networks (GANs) to upscale low-resolution images, producing high-quality outputs that preserve details and textures, thereby improving the visual fidelity of images.
Adobe SuperGaussian
In 2024, Adobe introduced SuperGaussian, a tool designed for generic 3D upsampling. It utilizes advanced signal processing techniques to enhance the resolution of 3D models, enabling more detailed and accurate representations in various applications, including computer graphics and virtual reality.
Adobe DiffQuickFixRelease
Launched in 2023, DiffQuickFixRelease is a project by Adobe aimed at providing quick fixes for diffusion-based models. It offers tools and methodologies to address common issues in diffusion models, facilitating more robust and reliable implementations in machine learning applications.
Adobe Extract-AI
In 2023, Adobe released Extract-AI, a tool designed to extract meaningful information from unstructured data using artificial intelligence techniques. It assists in processing large datasets to identify patterns and insights, supporting data-driven decision-making processes across various industries.
Adobe pdftriage
Introduced in 2023, pdftriage is a tool developed by Adobe for analyzing and categorizing PDF documents. Utilizing machine learning algorithms, it automates the process of triaging documents based on content and metadata, streamlining document management workflows.
Adobe llava-score
Released in 2023, llava-score is a project by Adobe focusing on evaluating large language and vision models. It provides metrics and tools to assess the performance of multimodal models that process both text and images, aiding in the development of more effective AI systems.
Adobe DiffusionHandles
In 2023, Adobe introduced DiffusionHandles, a training-free method that enables 3D-aware image edits using a pre-trained diffusion model. This approach allows for intuitive manipulation of images in three dimensions, enhancing creative workflows in digital content creation.
https://github.com/adobe-research/DiffusionHandles
Adobe Source Han Sans
In 2014, Adobe released Source Han Sans, a pan-CJK typeface family designed to provide a unified font solution for Chinese, Japanese, and Korean languages. This open-source project facilitates consistent typography across different scripts, enhancing readability and design coherence in multilingual documents.
Adobe Brackets
Introduced in 2014, Brackets is an open-source text editor focused on web development. Developed by Adobe, it offers features like live preview, preprocessor support, and an inline editor, streamlining the coding process for HTML, CSS, and JavaScript.
Adobe Spectrum CSS
In 2018, Adobe launched Spectrum CSS, a collection of CSS components and tools implementing Adobe's design system, Spectrum. It ensures consistent styling and user interface patterns across Adobe's web applications, promoting a unified user experience.
Adobe React Spectrum
Released in 2020, React Spectrum is Adobe's implementation of the Spectrum design system in React. It provides accessible, themeable components for building React applications, enabling developers to create consistent and adaptive user interfaces.
Adobe AEM Core WCM Components
In 2018, Adobe introduced the AEM Core WCM Components, a set of standardized components for Adobe Experience Manager (AEM). These components accelerate website development by providing out-of-the-box functionalities, ensuring best practices and consistency in AEM projects.
Adobe PostScript Language
Developed in the 1980s, the PostScript language is a page description language created by Adobe. It revolutionized desktop publishing by enabling precise control over text and graphics on printed pages, laying the foundation for modern desktop publishing systems.
Adobe PDF Library
The Adobe PDF Library is a developer toolkit for creating and manipulating PDF documents. It provides comprehensive support for PDF functionalities, allowing developers to integrate PDF capabilities into their applications, facilitating document management and distribution.
Adobe XMP Toolkit
The XMP Toolkit enables the integration of Extensible Metadata Platform (XMP) support into applications. It allows for the embedding and retrieval of metadata within files, enhancing the management and organization of digital assets across various platforms.
Adobe CEF (Chromium Embedded Framework)
The Chromium Embedded Framework (CEF) is an open-source framework for embedding a Chromium browser in other applications. Adobe utilizes CEF in several of its products to render web content within desktop applications, providing a seamless user experience.
Adobe Source Code Pro
In 2012, Adobe released Source Code Pro, a monospaced typeface designed for coding environments. It enhances readability and aesthetics in code editors and terminal applications, contributing to improved developer productivity and comfort.