Best AI tools for< Marine Biologist >

FathomVerse is an AI-powered mobile game that immerses players in the underwater world, allowing them to explore and learn about ocean animals. Players can identify various ocean creatures, receive feedback from the community, unlock missions, and expand their library of knowledge. The game is designed to educate and entertain users while promoting ocean conservation and awareness. Powered by Ocean Vision AI, FathomVerse offers a unique gaming experience that combines fun and learning.

The Shark Risk Forecast App by SafeWaters.ai is an innovative application that provides 7-day shark risk forecasts for beaches worldwide with 83% accuracy. Utilizing predictive AI technology trained on extensive shark attack and marine weather data, the app aims to enhance beach safety by alerting users to potential risks. In addition to current and future risk forecasts, the app offers features like Shark Spotting Drones Live Feed, Chatbot interaction, and Tagged Shark Tracking for a comprehensive beach safety experience.

Satlas is an AI-powered platform that provides geospatial data generated by AI models. The platform showcases how our planet is changing by revealing insights into marine infrastructure, renewable energy infrastructure, and tree cover. Satlas employs state-of-the-art AI architectures and training algorithms in computer vision to enhance low-resolution satellite imagery and produce high-resolution images on a global scale. The AI-generated geospatial datasets are freely available for offline analysis, along with AI models and training labels. The platform is developed and maintained by PRIOR and colleagues at the Allen Institute for AI, aiming to advance computer vision and create AI systems that understand and reason about the world.

VUW.ai is a unique virtual underwriting platform that offers end-to-end digital trading solutions for specialty insurance lines. The platform leverages machine learning to improve risk selection, reduce volatility, increase consistency, and enhance profitability and underwriting controls while lowering operating costs. VUW.ai aims to revolutionize the insurance market by providing a cost-effective and tech-based underwriting solution that caters to brokers and capacity providers. The platform also offers services in Property, Casualty, and Marine Cargo business, with plans to expand into other classes like Livestock, Fine Art, and Political Violence.

Voiser is an AI-powered platform that offers a range of text-to-speech and speech-to-text services. With Voiser, users can convert text to speech in over 75 languages, with a variety of voices to choose from. Voiser also offers speech-to-text transcription services, which can be used to convert audio and video files into text. In addition to its core services, Voiser also offers a number of other features, such as a text editor, a pronunciation guide, and a voice recorder. Voiser is a powerful tool that can be used for a variety of purposes, including creating presentations, videos, and podcasts.

SuperAI is the premier AI event happening in Singapore on 5-6 June 2024. It is a highly anticipated conference that brings together industry leaders, entrepreneurs, researchers, and curious minds to explore and unveil the next wave of transformative AI technologies. The event features keynote addresses, panel discussions, live demos showcasing AI innovation, and networking sessions, providing attendees with valuable insights and opportunities to connect with professionals in the AI field. SuperAI aims to define the future of artificial intelligence and inspire engagement in the limitless possibilities of AI.

Yapay Zeka Muhasebe, muhasebe süreçlerini otomatikleştirmek ve verimliliği artırmak için yapay zeka kullanan bir yazılımdır. İşletmelerin finansal verilerini analiz ederek, anormallikleri tespit ederek ve tahminlerde bulunarak muhasebecilere zaman kazandırır ve maliyetleri düşürür.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

AIS-catcher for Android is a multi-platform AIS receiver app that transforms your Android device into a dual channel AIS receiver. It directly accesses a Software Defined Radio USB device to pick up AIS signals from nearby vessels, visualizing them on a built-in map or sending messages via UDP to plotting apps. The app requires a RTL-SDR dongle or an AirSpy device, a simple antenna, an Android device with USB connector, and an OTG cable. It is designed for research and educational purposes under the GPL license, with no warranty. Users are responsible for prudent use and compliance with local regulations. The app is not intended for navigation or safety purposes.

Benchmark various LLM Structured Output frameworks like Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, LMFormatEnforcer, etc on tasks like multi-label classification, named entity recognition, synthetic data generation. The tool provides benchmark results, methodology, instructions to run the benchmark, add new data, and add a new framework. It also includes a roadmap for framework-related tasks, contribution guidelines, citation information, and feedback request.

Quantus is a toolkit designed for the evaluation of neural network explanations. It offers more than 30 metrics in 6 categories for eXplainable Artificial Intelligence (XAI) evaluation. The toolkit supports different data types (image, time-series, tabular, NLP) and models (PyTorch, TensorFlow). It provides built-in support for explanation methods like captum, tf-explain, and zennit. Quantus is under active development and aims to provide a comprehensive set of quantitative evaluation metrics for XAI methods.

Next-Token Prediction is a language model tool that allows users to create high-quality predictions for the next word, phrase, or pixel based on a body of text. It can be used as an alternative to well-known decoder-only models like GPT and Mistral. The tool provides options for simple usage with built-in data bootstrap or advanced customization by providing training data or creating it from .txt files. It aims to simplify methodologies, provide autocomplete, autocorrect, spell checking, search/lookup functionalities, and create pixel and audio transformers for various prediction formats.

AI-IGU is a GitHub repository focused on Artificial Intelligence (AI) concepts, technology, software development, and algorithm improvement for all ages and professions. It emphasizes the importance of future software for future scientists and the increasing need for software developers in the industry. The repository covers various topics related to AI, including machine learning, deep learning, data mining, data science, big data, and more. It provides educational materials, practical examples, and hands-on projects to enhance software development skills and create awareness in the field of AI.

Instill Core is an open-source orchestrator comprising a collection of source-available projects designed to streamline every aspect of building versatile AI features with unstructured data. It includes Instill VDP (Versatile Data Pipeline) for unstructured data, AI, and pipeline orchestration, Instill Model for scalable MLOps and LLMOps for open-source or custom AI models, and Instill Artifact for unified unstructured data management. Instill Core can be used for tasks such as building, testing, and sharing pipelines, importing, serving, fine-tuning, and monitoring ML models, and transforming documents, images, audio, and video into a unified AI-ready format.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

EasyEdit is a Python package for edit Large Language Models (LLM) like `GPT-J`, `Llama`, `GPT-NEO`, `GPT2`, `T5`(support models from **1B** to **65B**), the objective of which is to alter the behavior of LLMs efficiently within a specific domain without negatively impacting performance across other inputs. It is designed to be easy to use and easy to extend.

LLPhant is a comprehensive PHP Generative AI Framework that provides a simple and powerful way to build apps. It supports Symfony and Laravel and offers a wide range of features, including text generation, chatbots, text summarization, and more. LLPhant is compatible with OpenAI and Ollama and can be used to perform a variety of tasks, including creating semantic search, chatbots, personalized content, and text summarization.

The TensorRT-LLM Backend is a Triton backend designed to serve TensorRT-LLM models with Triton Inference Server. It supports features like inflight batching, paged attention, and more. Users can access the backend through pre-built Docker containers or build it using scripts provided in the repository. The backend can be used to create models for tasks like tokenizing, inferencing, de-tokenizing, ensemble modeling, and more. Users can interact with the backend using provided client scripts and query the server for metrics related to request handling, memory usage, KV cache blocks, and more. Testing for the backend can be done following the instructions in the 'ci/README.md' file.

LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

The 'ai4math-papers' repository contains a collection of research papers related to AI applications in mathematics, including automated theorem proving, synthetic theorem generation, autoformalization, proof refactoring, premise selection, benchmarks, human-in-the-loop interactions, and constructing examples/counterexamples. The papers cover various topics such as neural theorem proving, reinforcement learning for theorem proving, generative language modeling, formal mathematics statement curriculum learning, and more. The repository serves as a valuable resource for researchers and practitioners interested in the intersection of AI and mathematics.

Aquarium advisor for every level of expertise.

Your angler and water data expert.

I am Captain Nemo, ready to discuss the mysteries of the deep.

Find a fishing spot in Australia

A guide to scuba diving in the Philippines, answering divers' queries.

A helpful guide for diagnosing and resolving reef tank issues.

Expert in Maritime Conservation & Drone Technology.

Coastal professor at your service, explaining coastal and oceanic processes.

Conversational and knowledgeable fish identification and care expert with image analysis

Expert diver with knowledge of the best dive locations and diving safety.

Dive into the depths of the ocean in 'Aqua Explorer: Underwater Archaeology', a game that blends the excitement of underwater exploration with the discovery of ancient civilizations and marine life. Uncover hidden artifacts, learn about historical underwater. Another AI Game by Dave Lalande

An assistant for accurate tide timings based on location.

A zoological guide on sharks, providing informative insights.

A geographic and informative guide to the Atlantic Ocean.

Specialist in aquatic life, clean water, and water safety

Exactly like ChatGPT, except 100% of the revenue received from OpenAI is used for ocean cleanup and restoration projects!

I embody the spirit of the seas, ask me anything about the physical and biological properties and phenomena of the seas

Explores deep-sea mysteries with a blend of science and storytelling.

Expert on freediving techniques, safety, and OceanSense services. online coarse available ..

Especialista em Recursos Pesqueiros e Engenharia de Pesca

Guides on fishing, covering techniques, tides, lunar phases, weather, and local fish activity.

Marine biologist studying and conserving ocean life, focusing on ecosystem health and climate effects.

Generates scenes painted with coral reefs. (Work in progress....)

Shape your own nature documentary, and follow the life of our Tuna in today's perilous seas.