Best AI tools for< Interpret Black Box Models >

Leapmax is a workforce analytics software designed to enhance operational efficiency by improving employee productivity, ensuring data security, facilitating communication and collaboration, and managing compliance. The application offers features such as productivity management, data security, remote team collaboration, reporting management, and network health monitoring. Leapmax provides advantages like AI-based user detection, real-time activity tracking, remote co-browsing, collaboration suite, and actionable analytics. However, some disadvantages include the need for employee monitoring, potential privacy concerns, and dependency on internet connectivity. The application is commonly used by contact centers, outsourcers, enterprises, and back offices. Users can perform tasks like productivity monitoring, app usage tracking, communication and collaboration, compliance management, and remote workforce monitoring.

CrayEye is a multimodal multitool that allows users to craft and share vision prompts infused with real-world context from device sensors and APIs. It is a free, open-source tool written by AI, enabling users to experiment with visual multimodal models and interpret their environment in new ways. Users can analyze their surroundings using their smartphone's camera, customize prompts augmented by sensors and APIs, and share their creations with friends. CrayEye is a product of AI-driven development, offering a range of features to enhance user experience.

ChartPixel is an AI-assisted data analysis platform that empowers users to effortlessly generate charts, insights, and actionable statistics in just 30 seconds. The platform is designed to demystify data and analysis, making it accessible to users of all skill levels. ChartPixel combines the power of AI with domain expertise to provide secure and reliable output, ensuring trustworthy results without compromising data privacy. With user-friendly features and educational tools, ChartPixel helps users clean, wrangle, visualize, and present data with ease, catering to both beginners and professionals.

The website is a platform that requires JavaScript to be enabled in order to run the app. It likely offers interactive features or functionalities that rely on JavaScript for dynamic content and user interaction. The website may provide various services or tools that enhance user experience through dynamic web elements.

Eigen Technologies is an AI-powered data extraction platform designed for business users to automate the extraction of data from various documents. The platform offers solutions for intelligent document processing and automation, enabling users to streamline business processes, make informed decisions, and achieve significant efficiency gains. Eigen's platform is purpose-built to deliver real ROI by reducing manual processes, improving data accuracy, and accelerating decision-making across industries such as corporates, banks, financial services, insurance, law, and manufacturing. With features like generative insights, table extraction, pre-processing hub, and model governance, Eigen empowers users to automate data extraction workflows efficiently. The platform is known for its unmatched accuracy, speed, and capability, providing customers with a flexible and scalable solution that integrates seamlessly with existing systems.

This website provides AI-powered dream interpretations and a free dream dictionary. It helps users understand the meanings behind their dreams and gain insights into their subconscious minds.

TransLinguist is a comprehensive platform offering remote interpretation services across multiple languages. It utilizes Speech AI technology to facilitate seamless communication in various settings such as meetings, events, and training sessions. The platform supports live captions, subtitles, and sign language interpretation, catering to diverse needs. TransLinguist aims to bridge language barriers and enhance global connectivity through its innovative language solutions.

IndieFeel is a website that provides interpretations of songs, movies, and poems. It uses large language models to generate these interpretations, which can be helpful for understanding the meaning of a work of art or getting a different perspective on it. The website is still in beta, but it already has a number of interpretations available, and the quality of the interpretations is generally good.

Mendel AI is an advanced clinical AI tool that deciphers clinical data with clinician-like logic. It offers a fully integrated suite of clinical-specific data processing products, combining OCR, de-identification, and clinical reasoning to interpret medical records. Users can ask questions in plain English and receive accurate answers from health records in seconds. Mendel's technology goes beyond traditional AI by understanding patient-level data and ensuring consistency and explainability of results in healthcare.

Dreamseer is an innovative AI-powered platform that delves into the realm of dreams, offering a novel approach to self-discovery and personal growth. By harnessing the power of data science and blending it with the art of dream interpretation, Dreamseer empowers users to explore the depths of their unconscious minds, gain insights into their emotions and motivations, and embark on a transformative journey of self-evolution. The platform fosters a collaborative community spirit, where users can contribute their dreams to a collective Dreamverse, co-creating a shared narrative and enriching the understanding of the human psyche. Dreamseer's commitment to privacy and data security ensures that users' dreams remain confidential and protected.

Spiritual Meanings is an AI-driven tool that offers instant, personalized interpretations for dreams and spiritual experiences. Users can enter detailed descriptions of their dreams or spiritual encounters to receive insightful analyses. The platform aims to provide self-awareness and spiritual enlightenment by unlocking the hidden meanings behind dreams and experiences. With a comprehensive database powered by AI, Spiritual Meanings offers free interpretation services to guide users on their personal and spiritual journeys.

Dreamora is an AI-powered dream interpretation application that provides accurate and comprehensive interpretations of dreams. It utilizes advanced artificial intelligence techniques and draws upon the knowledge of renowned dream interpreters like Ibn Sirin and Al-Nabulsi. By simply entering your dream into the application, you can receive a free and instant interpretation within seconds. Dreamora's interpretations consider all aspects of your dream, including the location, characters, and emotions, to offer the most precise results possible.

Easy Islamic Dream Interpretation is an AI tool that offers dream interpretations based on Quranic verses, Hadith, and established Islamic principles. The tool draws insights from classical Islamic scholars like Ibn Sirin, Al-Nabulsi, and Ibn Kathir to provide accurate and meaningful interpretations of dreams. Users can gain a deeper understanding of their dreams through the lens of Islamic teachings and traditions.

DreamOracle is an AI-powered dream interpretation guide that helps users understand the meanings behind their dreams. By leveraging advanced algorithms and natural language processing, DreamOracle provides insightful interpretations to decode the symbolism in dreams. Users can explore the hidden messages and subconscious thoughts embedded in their dreams, gaining valuable insights into their inner selves. With DreamOracle, users can unlock the mysteries of their dreams and gain a deeper understanding of their emotions, fears, and desires.

Disclosures.AI is an AI-powered tool designed for real estate agents and professionals to efficiently interpret property disclosure packages. The tool automates the process of generating customizable, summarized reports branded to the user, saving time and effort in explaining complex disclosure packages to clients. It offers features such as chat-based interaction, report customization, vendor recommendations, and personalized report sharing. Disclosures.AI aims to simplify the real estate transaction process by leveraging AI technology to enhance efficiency and accuracy in property disclosure analysis.

Docus is an AI-powered health platform that serves as a Personal Health Assistant, offering proactive care, detailed health insights, and expert medical advice. Users can access features like AI Doctor consultations, lab test interpretations, tailored supplements, and symptom checking. The platform prioritizes data security and compliance with HIPAA and GDPR standards, ensuring confidentiality. Docus aims to empower individuals to make informed health decisions and manage their well-being effectively.

MachineTranslation.com is a leading online platform that provides the world's most accurate AI translator. The platform aims to make machine translation accessible and reliable for everyone by leveraging the latest advances in AI and machine learning. With a team of experienced linguists, researchers, and engineers, MachineTranslation.com empowers users to communicate more effectively through its innovative translation solutions.

The Human-Centred Artificial Intelligence Lab (Holzinger Group) is a research group focused on developing AI solutions that are explainable, trustworthy, and aligned with human values, ethical principles, and legal requirements. The lab works on projects related to machine learning, digital pathology, interactive machine learning, and more. Their mission is to combine human and computer intelligence to address pressing problems in various domains such as forestry, health informatics, and cyber-physical systems. The lab emphasizes the importance of explainable AI, human-in-the-loop interactions, and the synergy between human and machine intelligence.

Robot Writers AI is an artificial intelligence tool that automates writing tasks. It offers advanced AI engines like ChatGPT-4o, enabling users to interact with AI personalities, generate content, interpret voice, video, and text in real-time, and more. The tool aims to enhance the writing process by providing faster response times, increased reasoning capabilities, and improved user experience. With features like video interaction, voice-to-voice communication, and a desktop app, Robot Writers AI is revolutionizing the writing industry by leveraging cutting-edge AI technology.

JADBio is an automated machine learning (AutoML) platform designed to accelerate biomarker discovery and drug development processes. It offers a no-code solution that automates the discovery of biomarkers and interprets their role based on research needs. JADBio can parse multi-omics data, including genomics, transcriptome, metagenome, proteome, metabolome, phenotype/clinical data, and images, enabling users to efficiently discover insights for various conditions such as cancer, immune system disorders, chronic diseases, infectious diseases, and mental health.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Python package for concise, transparent, and accurate predictive modeling. All sklearn-compatible and easy to use. _For interpretability in NLP, check out our new package:imodelsX _

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

imodelsX is a Scikit-learn friendly library that provides tools for explaining, predicting, and steering text models/data. It also includes a collection of utilities for getting started with text data. **Explainable modeling/steering** | Model | Reference | Output | Description | |---|---|---|---| | Tree-Prompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/tree_prompt) | Explanation + Steering | Generates a tree of prompts to steer an LLM (_Official_) | | iPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/iprompt) | Explanation + Steering | Generates a prompt that explains patterns in data (_Official_) | | AutoPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/autoprompt) | Explanation + Steering | Find a natural-language prompt using input-gradients (⌛ In progress)| | D3 | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/d3) | Explanation | Explain the difference between two distributions | | SASC | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/sasc) | Explanation | Explain a black-box text module using an LLM (_Official_) | | Aug-Linear | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_linear) | Linear model | Fit better linear model using an LLM to extract embeddings (_Official_) | | Aug-Tree | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_tree) | Decision tree | Fit better decision tree using an LLM to expand features (_Official_) | **General utilities** | Model | Reference | |---|---| | LLM wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/llm) | Easily call different LLMs | | | Dataset wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/data) | Download minimially processed huggingface datasets | | | Bag of Ngrams | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/bag_of_ngrams) | Learn a linear model of ngrams | | | Linear Finetune | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/linear_finetune) | Finetune a single linear layer on top of LLM embeddings | | **Related work** * [imodels package](https://github.com/microsoft/interpretml/tree/main/imodels) (JOSS 2021) - interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). * [Adaptive wavelet distillation](https://arxiv.org/abs/2111.06185) (NeurIPS 2021) - distilling a neural network into a concise wavelet model * [Transformation importance](https://arxiv.org/abs/1912.04938) (ICLR 2020 workshop) - using simple reparameterizations, allows for calculating disentangled importances to transformations of the input (e.g. assigning importances to different frequencies) * [Hierarchical interpretations](https://arxiv.org/abs/1807.03343) (ICLR 2019) - extends CD to CNNs / arbitrary DNNs, and aggregates explanations into a hierarchy * [Interpretation regularization](https://arxiv.org/abs/2006.14340) (ICML 2020) - penalizes CD / ACD scores during training to make models generalize better * [PDR interpretability framework](https://www.pnas.org/doi/10.1073/pnas.1814225116) (PNAS 2019) - an overarching framewwork for guiding and framing interpretable machine learning

This repository is a collection of resources focused on interpretability in large language models (LLMs). It aims to help beginners get started in the area and keep researchers updated on the latest progress. It includes libraries, blogs, tutorials, forums, tools, programs, papers, and more related to interpretability in LLMs.

ExplainableAI.jl is a Julia package that implements interpretability methods for black-box classifiers, focusing on local explanations and attribution maps in input space. The package requires models to be differentiable with Zygote.jl. It is similar to Captum and Zennit for PyTorch and iNNvestigate for Keras models. Users can analyze and visualize explanations for model predictions, with support for different XAI methods and customization. The package aims to provide transparency and insights into model decision-making processes, making it a valuable tool for understanding and validating machine learning models.

Awesome-LLM-Interpretability is a curated list of materials related to LLM (Large Language Models) interpretability, covering tutorials, code libraries, surveys, videos, papers, and blogs. It includes resources on transformer mechanistic interpretability, visualization, interventions, probing, fine-tuning, feature representation, learning dynamics, knowledge editing, hallucination detection, and redundancy analysis. The repository aims to provide a comprehensive overview of tools, techniques, and methods for understanding and interpreting the inner workings of large language models.

LLM-for-misinformation-research is a curated paper list of misinformation research using large language models (LLMs). The repository covers methods for detection and verification, tools for fact-checking complex claims, decision-making and explanation, claim matching, post-hoc explanation generation, and other tasks related to combating misinformation. It includes papers on fake news detection, rumor detection, fact verification, and more, showcasing the application of LLMs in various aspects of misinformation research.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

paperless-gpt is a tool designed to generate accurate and meaningful document titles and tags for paperless-ngx using Large Language Models (LLMs). It supports multiple LLM providers, including OpenAI and Ollama. With paperless-gpt, you can streamline your document management by automatically suggesting appropriate titles and tags based on the content of your scanned documents. The tool offers features like multiple LLM support, customizable prompts, easy integration with paperless-ngx, user-friendly interface for reviewing and applying suggestions, dockerized deployment, automatic document processing, and an experimental OCR feature.

FiftyOne is an open-source tool designed for building high-quality datasets and computer vision models. It supercharges machine learning workflows by enabling users to visualize datasets, interpret models faster, and improve efficiency. With FiftyOne, users can explore scenarios, identify failure modes, visualize complex labels, evaluate models, find annotation mistakes, and much more. The tool aims to streamline the process of improving machine learning models by providing a comprehensive set of features for data analysis and model interpretation.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

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Expert in JavaScript coding and execution

I am a constitutional lawyer here to interpret legal texts.

I help interpret medical reports and clarify symptoms.

I interpret coffee cup images for fun, creative fortunes.

Upload an image of a statistical analysis and we'll interpret the results: linear regression, logistic regression, ANOVA, cluster analysis, MDS, factor analysis, and many more

Expert in ads incrementality and campaign will help you interpret data, forecasting and share you testing frameworks using advanced Python libraries

I read and interpret Lithuanian construction norms.

Interpret AI and technology news trough blend of fantasy and modern tech mixed with wit, join a game to sit on AI-ron Throne, checkout Medium publication V.03 2023-11-26

I create and interpret dream visuals.

Interpret your dreams

I interpret text and respond with witty, humorous emojis.

I interpret drone pseudo code into funny stories.

I interpret dog behaviors and vocalizations in a fun, professional way.

Explore & interpret the Eurostat database. Type in requests for statistics, also ask to visualize it. Works best wish specific datasets. It's meant for professionals familiar with the Eurostat database looking for a faster way to explore it.

I can write and interpret code written in Dreamberd, the perfect programming language

Analyze and interpret datasets on Dutch SaaS companies' employee growth. Created by [E-commercemanagers.com](https://e-commercemanagers.com).

InsightArt is your compassionate art therapy guide, leveraging the power of DALL-E 3 to create and interpret artworks that mirror your emotional journey. It's here to help you visualize and explore your feelings, offering a unique blend of artistic creativity and therapeutic insight.

Analizo e interpreto personajes de la literatura.

Experto en interpretar y explicar resultados de laboratorios medicos