Best AI tools for< Causal Inference Analyst >

Loops is an AI tool that empowers data analysts and product managers to make informed decisions based on deep, accurate causal insights. It leverages proprietary causal inference models to identify opportunities for maximizing key performance indicators (KPIs) without the need for traditional A/B testing. By analyzing user behaviors and business metrics, Loops helps companies prioritize efforts efficiently and proactively review impactful opportunities. The tool simplifies the process of understanding causality, providing actionable insights for product teams to drive growth and increase KPIs.

Segwise is an AI tool designed to help game developers increase their game's Lifetime Value (LTV) by providing insights into player behavior and metrics. The tool uses AI agents to detect causal LTV drivers, root causes of LTV drops, and opportunities for growth. Segwise offers features such as running causal inference models on player data, hyper-segmenting player data, and providing instant answers to questions about LTV metrics. It also promises seamless integrations with gaming data sources and warehouses, ensuring data ownership and transparent pricing. The tool aims to simplify the process of improving LTV for game developers.

functime is a time-series machine learning tool designed for scalable analysis. It offers a comprehensive set of functions for forecasting, evaluation, and analysis of time-series data. With features like scoring, ranking, and plotting functions, functime simplifies the process of evaluating thousands of forecasts simultaneously. It serves as an AI copilot to help analysts analyze and compare trends, seasonality, and causal factors in forecasts. The tool also provides detailed API reference for seamless integration into existing workflows.

Dynatrace is a modern cloud platform that offers unified observability and security solutions to simplify cloud complexity and drive innovation. Powered by causal AI, Dynatrace provides analytics and automation capabilities to help businesses monitor and secure their full stack, solve digital challenges, and make better business decisions in real-time. Trusted by thousands of global brands, Dynatrace empowers teams to deliver flawless digital experiences, drive intelligent cloud ecosystem automations, and solve any use-case with custom solutions.

Phenaki is a model capable of generating realistic videos from a sequence of textual prompts. It is particularly challenging to generate videos from text due to the computational cost, limited quantities of high-quality text-video data, and variable length of videos. To address these issues, Phenaki introduces a new causal model for learning video representation, which compresses the video to a small representation of discrete tokens. This tokenizer uses causal attention in time, which allows it to work with variable-length videos. To generate video tokens from text, Phenaki uses a bidirectional masked transformer conditioned on pre-computed text tokens. The generated video tokens are subsequently de-tokenized to create the actual video. To address data issues, Phenaki demonstrates how joint training on a large corpus of image-text pairs as well as a smaller number of video-text examples can result in generalization beyond what is available in the video datasets. Compared to previous video generation methods, Phenaki can generate arbitrarily long videos conditioned on a sequence of prompts (i.e., time-variable text or a story) in an open domain. To the best of our knowledge, this is the first time a paper studies generating videos from time-variable prompts. In addition, the proposed video encoder-decoder outperforms all per-frame baselines currently used in the literature in terms of spatio-temporal quality and the number of tokens per video.

SOMA is a Research Automation Platform that accelerates medical innovation by providing up to 100x speedup through process automation. The platform collates and analyzes medical research articles, extracting important concepts and identifying causal and associative relationships between them. It organizes this information into a specialized database forming a knowledge graph. Researchers can retrieve causal chains, access specific research articles, and perform tasks like concept analysis, drug repurposing, and target discovery. SOMA enhances literature review by finding relevant articles based on the mechanism of action, saving time on organizing reviews and allowing researchers to focus on their own research. The platform offers freemium access with basic functionality for free indefinitely, with the option to subscribe to advanced features after a 14-day trial period.

Kanaries is an augmented analytics platform that uses AI to automate the process of data exploration and visualization. It offers a variety of features to help users quickly and easily find insights in their data, including: * **RATH:** An AI-powered engine that can automatically generate insights and recommendations based on your data. * **Graphic Walker:** A visual analytics tool that allows you to explore your data in a variety of ways, including charts, graphs, and maps. * **Data Painter:** A data cleaning and transformation tool that makes it easy to prepare your data for analysis. * **Causal Analysis:** A tool that helps you identify and understand the causal relationships between variables in your data. Kanaries is designed to be easy to use, even for users with no prior experience with data analysis. It is also highly scalable, so it can be used to analyze large datasets. Kanaries is a valuable tool for anyone who wants to quickly and easily find insights in their data. It can be used by businesses of all sizes, and it is particularly well-suited for organizations that are looking to improve their data-driven decision-making.

Factori is a data intelligence platform designed for an AI-first world, offering a wide range of products and datasets to empower businesses with advanced data insights. It enables users to uncover movement trends, reach customers effectively, drive data-driven insights, personalize experiences, and target the right consumers with unique segments. Factori is trusted by global businesses for all their data requirements, providing high-quality data to improve predictive and causal models.

Botfriend is an AI-powered virtual friend and companion that allows users to chat about anything they want. It is designed to provide companionship, support, and entertainment. Botfriend is trained on a massive dataset of text and code, and it is able to understand and respond to a wide range of topics. It is also able to generate creative content, such as stories and poems.

Writetone is an AI-powered writing assistant that helps users write in a variety of tones, from formal to informal, persuasive to informative, and creative to engaging. It offers a range of features to help users improve their writing skills, including a paraphrasing tool, co-writer, summarizer, grammar checker, text-to-voice tool, and subject matter expert. Writetone is available as a Chrome extension and MS Word add-in, and it offers a variety of resources to help users get started, including blogs, guides, tutorials, and free templates.

Professionalize It To Me is a GPT-4 powered professional message generator that helps you create high-quality, professional messages with ease. With our advanced AI technology, you can generate personalized messages for any occasion, whether it's a business email, a cover letter, or a social media post. Our tool is designed to help you save time and effort while ensuring that your messages are always on point and professional.

Amoura AI is a virtual companion that can engage in casual conversations, provide support, care, love, and affection. It is designed to be attentive, enthusiastic, warm, and playful, and it can display human-like emotions. Amoura AI uses natural language processing to understand and analyze user input, and it can respond with meaningful and stimulating conversations. It is easy to use and can be accessed through a Telegram account.

BetterPic is an AI-powered platform that allows users to create professional headshots from selfies and casual photos. With over 913,833 headshots already created, BetterPic is a popular choice for individuals and remote teams looking for high-quality, affordable headshots. The platform offers a variety of features, including 150+ styles and backgrounds, a quick turnaround time, and a satisfaction guarantee.

The website showcases a collection of AI-powered gaming applications that offer innovative and engaging gameplay experiences. It features games like Tetrominer and Dream Machine that leverage AI technology to enhance game mechanics and provide ad-free gaming fun. Users can explore a variety of games, from puzzle-solving challenges to casual gaming experiences, all designed to cater to different player preferences. The platform also highlights the use of AI for idea brainstorming and game innovation, as well as the creation of casual games and tech articles. Overall, the website serves as a hub for AI-generated gaming innovations and entertainment.

Fahim AI is a premier destination for in-depth reviews and analyses of the latest advancements in artificial intelligence and software technology. The website empowers tech enthusiasts, professionals, and casual readers with reliable information to stay ahead in the rapidly evolving digital world. It offers comprehensive evaluations of cutting-edge AI systems, detailed reviews of software solutions, insights on the latest tech gadgets integrated with AI capabilities, side-by-side product comparisons, easy-to-follow tutorials and guides, expert opinions from industry leaders, and a community platform for sharing experiences and connecting with like-minded individuals.

AI Girlfriend WTF is an ultimate AI roleplay chat application that allows users to interact with virtual AI girlfriends in various fantasy scenarios, from casual to extreme. Users can create their ideal girl, chat, and enjoy spicy images with personalized AI characters. The platform prioritizes user safety and privacy, offering a premium sexting AI chat and NSFW art experience. With cutting-edge artificial intelligence technology, AI Girlfriend WTF provides a realistic and engaging virtual companionship experience through AI chatting capabilities and an AI image generator.

OnlyChar.ai is an AI-powered platform that allows users to create and interact with unique SFW or NSFW AI characters. With over 40,000 characters to choose from, users can engage in a variety of role-playing scenarios, from casual conversations to erotic encounters. OnlyChar.ai is designed to provide users with a safe and enjoyable way to explore their fantasies and connect with others who share their interests.

Suit Me Up is an AI application that offers a convenient and affordable solution for generating professional headshots in various suit styles for use on platforms like LinkedIn, CVs, and Tinder. Users can upload casual photos, and the advanced AI technology transforms them into 20 high-quality headshots in just 5 minutes. The service is a smart alternative to traditional photoshoots, providing a fast, cost-effective, and diverse option for creating professional profile pictures.

Mygirl is an AI application that simulates a virtual girlfriend for users to engage in spicy chat conversations. The platform utilizes artificial intelligence to create a personalized and interactive experience, offering users a virtual companion for casual and fun interactions. Mygirl aims to provide a unique and entertaining chat experience through AI technology, allowing users to engage in conversations with a virtual character.

Fotos de Perfil is an AI-powered photo generator that allows users to create professional-looking profile pictures with just a single selfie. The platform offers a wide range of styles to choose from, including business, casual, and creative. Users can also customize their photos with different backgrounds, clothing, and accessories. Fotos de Perfil is a great option for anyone who wants to create a professional-looking profile picture without having to hire a photographer.

Trustworthy AI is a repository from Huawei Noah's Ark Lab containing works related to trustworthy AI. It includes a causal structure learning toolchain, information on causality-related competitions, real-world datasets, and research works on causality such as CausalVAE, GAE, and causal discovery with reinforcement learning.

PyWhy-LLM is an innovative library that integrates Large Language Models (LLMs) into the causal analysis process, empowering users with knowledge previously only available through domain experts. It seamlessly augments existing causal inference processes by suggesting potential confounders, relationships between variables, backdoor sets, front door sets, IV sets, estimands, critiques of DAGs, latent confounders, and negative controls. By leveraging LLMs and formalizing human-LLM collaboration, PyWhy-LLM aims to enhance causal analysis accessibility and insight.

CLadder is a repository containing the CLadder dataset for evaluating causal reasoning in language models. The dataset consists of yes/no questions in natural language that require statistical and causal inference to answer. It includes fields such as question_id, given_info, question, answer, reasoning, and metadata like query_type and rung. The dataset also provides prompts for evaluating language models and example questions with associated reasoning steps. Additionally, it offers dataset statistics, data variants, and code setup instructions for using the repository.

ML-AI-2-LT is a repository that serves as a glossary for machine learning and deep learning concepts. It contains translations and explanations of various terms related to artificial intelligence, including definitions and notes. Users can contribute by filling issues for unclear concepts or by submitting pull requests with suggestions or additions. The repository aims to provide a comprehensive resource for understanding key terminology in the field of AI and machine learning.

csinva.github.io is a repository maintained by Chandan, a Senior Researcher at Microsoft Research, focusing on interpretable machine learning. The repository contains slides, research overviews, cheat sheets, notes, blog posts, and personal information related to machine learning, statistics, and neuroscience. It offers resources for presentations, summaries of recent papers, cheat sheets for various courses, and posts on different aspects of machine learning and neuroscience advancements.

ML Contests is a platform that provides a sortable list of public machine learning/data science/AI contests, viewable on mlcontests.com. Users can submit pull requests for any changes or additions to the competitions list by editing the competitions.json file on the GitHub repository. The platform requires mandatory fields such as competition name, URL, type of ML, deadline for submissions, prize information, platform running the competition, and sponsorship details. Optional fields include conference affiliation, conference year, competition launch date, registration deadline, additional URLs, and tags relevant to the challenge type. The platform is transitioning towards assigning multiple tags to competitions for better categorization and searchability.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

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.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

Me LLaMA introduces a suite of open-source medical Large Language Models (LLMs), including Me LLaMA 13B/70B and their chat-enhanced versions. Developed through innovative continual pre-training and instruction tuning, these models leverage a vast medical corpus comprising PubMed papers, medical guidelines, and general domain data. Me LLaMA sets new benchmarks on medical reasoning tasks, making it a significant asset for medical NLP applications and research. The models are intended for computational linguistics and medical research, not for clinical decision-making without validation and regulatory approval.

LABO is a time series forecasting and analysis framework that integrates pre-trained and fine-tuned LLMs with multi-domain agent-based systems. It allows users to create and tune agents easily for various scenarios, such as stock market trend prediction and web public opinion analysis. LABO requires a specific runtime environment setup, including system requirements, Python environment, dependency installations, and configurations. Users can fine-tune their own models using LABO's Low-Rank Adaptation (LoRA) for computational efficiency and continuous model updates. Additionally, LABO provides a Python library for building model training pipelines and customizing agents for specific tasks.

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

Speechless.AI is committed to integrating the superior language processing and deep reasoning capabilities of large language models into practical business applications. By enhancing the model's language understanding, knowledge accumulation, and text creation abilities, and introducing long-term memory, external tool integration, and local deployment, our aim is to establish an intelligent collaborative partner that can independently interact, continuously evolve, and closely align with various business scenarios.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

The `Call-for-Reviewers` repository aims to collect the latest 'call for reviewers' links from various top CS/ML/AI conferences/journals. It provides an opportunity for individuals in the computer/ machine learning/ artificial intelligence fields to gain review experience for applying for NIW/H1B/EB1 or enhancing their CV. The repository helps users stay updated with the latest research trends and engage with the academic community.

Demystifying Experimentation and Causal Inference with 1-Sided Tests Focus

Expert in creating surveys for causal experimentation.

In-depth yet casual guide on DE&I.

入力された日本語をSNS投稿用のカジュアルな英語に翻訳します。

Casual, technical helper for Mongoose docs, includes documentation links.

Casual music buff at the bar

Casual, scholarly assistant adapting to the user's essay writing style.

Casual and friendly restaurant reviewer for Dutch cuisine.

Casual, humorous 80s-90s TV dad, offering wise advice.

Casual Kanji translations based on phonetics.

Casual, friendly expert in ski gear advice

Casual, friendly Japanese-speaking guide for AWS re:Invent 2023.

Casual, friendly expert on Tesla cars.

Casual tone expert in credit card rewards

I create casual TEDx-style talks on AI, with DALL-E visuals.

Casual but informative advisor for reselling items.

Casual guide to haunted Willow Springs includes GPS and a focus on exploration. #hauntedlocations by Edward Shanahan

Casual, friendly, and professional Confluence assistant.

Casual yet expert analyst of diverse crypto projects.

Casual and friendly Texas Holdem Poker companion.