Best AI tools for< Interpret Neural Networks >

Enterprise AI provides comprehensive information, news, and tips on artificial intelligence (AI) for businesses. It covers various aspects of AI, including AI business strategies, AI infrastructure, AI technologies, AI platforms, careers in AI, and enterprise applications of AI. The website offers insights into the latest AI trends, best practices, and industry news. It also provides resources such as e-books, webinars, and podcasts to help businesses understand and implement AI solutions.

Picture Translate is an online tool that allows users to translate text from images for free. It leverages advanced Optical Character Recognition (OCR) technology to accurately identify and translate text from images, including low-resolution images and handwritten notes. The tool supports multilingual translation, real-time results, and cross-platform compatibility, making it ideal for various applications such as travel, education, business, healthcare, and more. Picture Translate aims to break down language barriers and provide a user-friendly experience for seamless image translation.

Thunderbit is an all-in-one AI toolkit that provides a variety of AI-powered apps and automation tools. With Thunderbit, users can summarize web content, clarify text, translate languages, get definitions, send personalized emails, search the web, and interpret legal documents, among other tasks. Thunderbit's apps are easy to use and can be customized to fit the user's specific needs. Thunderbit also integrates with other popular apps, making it a versatile tool for a variety of tasks.

The AI Funko Pop Generator is a free image generator powered by artificial intelligence. It allows users to create personalized Funko Pop figurine images by inputting text descriptions of characters, outfits, accessories, and other matching options. The generator utilizes an artificial neural network trained on a large dataset of image-text pairs to interpret user prompts and generate new Funko Pop images that mimic the Funko Pop art style. Users can create their own custom Funko Pop designs quickly and easily, without the need to log in. The application prioritizes user privacy by not collecting or using any personal information.

Lingolette is an AI language teaching machine that helps users master a language faster through personalized neural network chat-based tools. It speaks with users like a real teacher, motivates them on their learning journey, adapts to their learning style, and explains concepts clearly. Lingolette aims to enhance users' talking skills, pronunciation, and overall language learning experience.

Wordscope is an all-in-one solution for professional translators that provides a variety of tools to ensure quality translations, including private translation memories, neural machine translation, terminology databases, public translation memories, a comparative revision tool, quality control tools, synonym lists, and various sharing options.

Lingvanex is a cloud-based machine translation and speech recognition platform that provides businesses with a variety of tools to translate text, documents, and speech in over 100 languages. The platform is powered by artificial intelligence (AI) and machine learning (ML) technologies, which enable it to deliver high-quality translations that are both accurate and fluent. Lingvanex also offers a variety of features that make it easy for businesses to integrate translation and speech recognition into their workflows, including APIs, SDKs, and plugins for popular programming languages and platforms.

Nightcap is an AI-powered application designed to help users interpret and keep track of their dreams. By instantly analyzing your dreams, saving them in a dream journal, and providing insights to make sense of your life, Nightcap offers a unique way to explore the subconscious mind and gain a deeper understanding of oneself.

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.

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.

Legalese Decoder is a web application that utilizes AI, natural language processing (NLP), and machine learning (ML) to analyze legal documents and provide a plain language version of the document. It is designed to take complex legal documents as input and output a simplified, easily understandable version by identifying key terms and concepts, providing definitions, and rephrasing the content. The application aims to assist individuals in comprehending legal documents without the need for professional legal advice.

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.

Figstack is an intelligent coding companion powered by AI, designed to help developers understand and document code more efficiently. It offers a suite of solutions trained with billions of lines of code to supercharge the ability to read and write code across different programming languages. With features like Explain Code, Language Translator, Docstring Writer, and Time Complexity function, Figstack aims to simplify coding tasks and optimize program efficiency.

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.

This repository is a collection of papers focused on understanding the internal mechanism of large language models (LLM). It includes research on topics such as how LLMs handle multilingualism, learn in-context, and handle factual associations. The repository aims to provide insights into the inner workings of transformer-based language models through a curated list of papers and surveys.

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, ...

This repository provides advanced AI explainability for PyTorch, offering state-of-the-art methods for Explainable AI in computer vision. It includes a comprehensive collection of Pixel Attribution methods for various tasks like Classification, Object Detection, Semantic Segmentation, and more. The package supports high performance with full batch image support and includes metrics for evaluating and tuning explanations. Users can visualize and interpret model predictions, making it suitable for both production and model development scenarios.

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.

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.

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.

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 _

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 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.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

ContextCite is a tool for attributing statements generated by LLMs back to specific parts of the context. It allows users to analyze and understand the sources of information used by language models in generating responses. By providing attributions, users can gain insights into how the model makes decisions and where the information comes from.

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

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

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

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

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

Have your dreams analyzed by a GPT trained by Freud's work on dream psychology.

Expert in esoteric knowledge, encouraging exploration and understanding.