Best AI tools for< Angler Instructor >

OptiSol is a global technology company offering digital transformation services to a diverse range of industries. With a team of over 400 professionals across 5 countries, OptiSol focuses on providing innovative IT solutions in areas such as AI, Cloud Computing, Digital Engineering, Quality Assurance, and Enterprise Services. The company prides itself on building strong partnerships with clients based on trust, transparency, and shared goals. OptiSol's services include AI & ML, Quality Engineering, Cloud Web Application, Gen AI Applications, Digital Engineering, Enterprise Solutions, User Experience Engineering, Mobile Application, and DevOps Automation.

Stylized is a virtual product staging tool that offers studio-quality photography without the need for an actual studio. It utilizes advanced computer vision software and AI to remove backgrounds, relight, and render products in a virtual 3D scene. Users can take professional product photos in any lighting and backdrop, and have the flexibility to reposition items and adjust camera angles. Stylized aims to help businesses increase buyer conversion with stunning photos, making it a valuable tool for product visualization and marketing.

Blimey is an AI-powered 3D scene builder that allows users to generate realistic images from scratch. With Blimey, users can control the composition, colors, and camera angles of their scenes, resulting in images that are tailored to their specific needs. Blimey is perfect for creating images for marketing, advertising, social media, and more.

AvatarStudio is an AI tool that allows users to generate custom AI avatars by uploading selfies with different angles. The tool then builds a studio based on the uploaded photos and assists users in crafting the perfect prompt to generate unique avatars. AvatarStudio offers a cost-effective solution for creating custom AI avatars, providing 50 shots for $10 with a custom trained model and 4K generation capabilities. Users can unleash their creativity and design avatars that perfectly capture their unique style.

Spyne is an AI photography and editing tool designed specifically for car dealerships and marketplaces. It offers a range of features such as creating virtual 360 spins, showcasing cars from every angle, and generating AI video car brochures. Spyne helps drive profitability and streamline sales for dealerships by providing smart solutions. It also offers automated quality control and curation for user-generated car visuals on marketplaces. With a focus on automotive retail, Spyne aims to transform the way car photography and merchandising are done in the industry.

AI2image is an online text-to-image generator that uses artificial intelligence to create custom images from simple descriptions in English. It offers various features such as choosing from different libraries (coloring, background, art, angle, and position) that can be applied to your image. AI2image is easy to use and can generate images for various purposes such as website, blogs, social media, landing pages, email marketing, and more.

Varys AI is an interior design AI tool that leverages GPT technology to assist professionals in creating high-quality renders and design solutions effortlessly. Users can upload CAD files or draw wireframes to generate design solutions with multiple angles, choose from various styles, and communicate design preferences using natural language. The tool also offers a GPT-powered design assistant for advice on space layout and business improvement. Varys AI aims to redefine space design workflows and accelerate commercial growth through project series expansion and customized AI training.

beb.ai is a web-based application that uses artificial intelligence to generate creative content for brands. It allows users to upload 20-30 photos of their product from different locations and angles, with different facial expressions and emotions. The AI generator will then learn the unique features of the product and generate 72 new photos in 9 different themes, on different backgrounds every week. This content can be used for social media posts, ads, marketing campaigns, dynamic marketing materials, holiday cards, or just for fun.

Fuse is a smart news aggregator that delivers personalized and complete coverage of top news stories from the U.S. and around the world. Stories are covered from every angle - with articles, videos and opinions from trusted sources. Fuse employs AI/ML algorithms to continuously collect, organize, prioritize and personalize news stories. Articles, videos and opinions are collected from all the major news media outlets and automatically organized by stories and topics.

My Color Hub is an AI Gradient Generator that allows users to effortlessly create beautiful gradients using AI-powered technology. Users can customize colors, angles, and sizes to match their design needs. The tool offers a wide range of gradient options, from linear to radial to angular, and provides the flexibility to generate gradients for various purposes such as tech designs, pastel-colored themes, anime styles, and more. With My Color Hub, users can easily create unique and visually appealing gradients for their projects.

Story-boards.ai is an AI-driven platform that revolutionizes storyboarding for visual storytellers, including filmmakers, ad creators, and graphic novelists. It empowers users to transform written scripts into dynamic visual storyboards, maintain character consistency, and speed up the pre-production process with AI-enhanced storyboarding. The platform offers tailored storyboards, custom camera angles, character consistency, and a streamlined workflow to elevate narratives and unlock new realms of possibility in visual storytelling.

REEFLEX is a mobile photography application that offers a range of high-quality lenses, filters, and accessories for iPhones and other smartphones. The app aims to enhance users' creativity by providing advanced tools for capturing stunning photos and videos. With features like telephoto lenses, wide-angle lenses, macro capabilities, and magnetic filters, REEFLEX empowers users to explore new perspectives and elevate their mobile photography game. The app also includes professional-grade camera apps like ReeXpose for RAW long exposure photography, ReeHeld for handheld long exposure shots, and ReeLapse for creating time-lapse videos. REEFLEX is designed to cater to photography enthusiasts and professionals looking to push the boundaries of mobile content creation.

BrideLook AI is an AI-powered application designed to help users explore and design their dream bridal hairstyles instantly. By analyzing the user's facial features, the app suggests unique bridal hairstyles that accentuate their natural beauty, eliminating the need for endless salon trials. Users can upload or take a selfie, choose from a selection of hairstyles, view them from multiple angles, and download their favorite in high resolution. The app simplifies the process of finding the perfect bridal hairstyle, making wedding preparation fun and stress-free.

PhotoEcom is an AI-powered tool that revolutionizes product photography by generating professional photos of products based on user-uploaded images. Users can choose different settings and backgrounds to create unique product shots without the need for expensive photographers or physical photoshoots. The tool offers customizable ambiance settings, cost-effective solutions, scalable AI technology, adaptive lighting adjustments, and multi-angle product shots. With PhotoEcom, users can elevate their product imagery, boost sales, and stand out in the market.

Rosebud is an AI journaling application designed for personal growth. It offers a private space to navigate life's challenges, gain actionable insights, and track progress. With over 80 million words journaled, Rosebud provides personalized questions, real-time feedback, and organizes thoughts into themes and topics for exploration. The application includes popular journal templates like Positive Psychology, Gratitude Journal, and Dream Journal, all brought to life with AI technology. Users report notable improvements in various areas such as depression, anxiety, anger, and loneliness after just 7 days of using Rosebud.

Shot Rate is an AI-powered e-commerce product image generation tool that helps businesses create high-quality, unique product images for their online stores. With Shot Rate, users can generate unlimited variations of their product images, including different angles, backgrounds, and styles. This can help businesses increase their sales by providing shoppers with more detailed and visually appealing product images.

pyLLMSearch is an advanced RAG system that offers a convenient question-answering system with a simple YAML-based configuration. It enables interaction with multiple collections of local documents, with improvements in document parsing, hybrid search, chat history, deep linking, re-ranking, customizable embeddings, and more. The package is designed to work with custom Large Language Models (LLMs) from OpenAI or installed locally. It supports various document formats, incremental embedding updates, dense and sparse embeddings, multiple embedding models, 'Retrieve and Re-rank' strategy, HyDE (Hypothetical Document Embeddings), multi-querying, chat history, and interaction with embedded documents using different models. It also offers simple CLI and web interfaces, deep linking, offline response saving, and an experimental API.

A curated list of Generative AI projects, tools, artworks, and models

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

GPTel is a simple Large Language Model chat client for Emacs, with support for multiple models and backends. It's async and fast, streams responses, and interacts with LLMs from anywhere in Emacs. LLM responses are in Markdown or Org markup. Supports conversations and multiple independent sessions. Chats can be saved as regular Markdown/Org/Text files and resumed later. You can go back and edit your previous prompts or LLM responses when continuing a conversation. These will be fed back to the model. Don't like gptel's workflow? Use it to create your own for any supported model/backend with a simple API.

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.

ChatSim is a tool designed for editable scene simulation for autonomous driving via LLM-Agent collaboration. It provides functionalities for setting up the environment, installing necessary dependencies like McNeRF and Inpainting tools, and preparing data for simulation. Users can train models, simulate scenes, and track trajectories for smoother and more realistic results. The tool integrates with Blender software and offers options for training McNeRF models and McLight's skydome estimation network. It also includes a trajectory tracking module for improved trajectory tracking. ChatSim aims to facilitate the simulation of autonomous driving scenarios with collaborative LLM-Agents.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

AnglE is a library for training state-of-the-art BERT/LLM-based sentence embeddings with just a few lines of code. It also serves as a general sentence embedding inference framework, allowing for inferring a variety of transformer-based sentence embeddings. The library supports various loss functions such as AnglE loss, Contrastive loss, CoSENT loss, and Espresso loss. It provides backbones like BERT-based models, LLM-based models, and Bi-directional LLM-based models for training on single or multi-GPU setups. AnglE has achieved significant performance on various benchmarks and offers official pretrained models for both BERT-based and LLM-based models.

This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.

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

Assists anglers in catching bigger fish with expert bait advice.

Your angler and water data expert.

Identify your sources of fear and anger and convert those emotions into concrete next steps. Tested and approved by the real Matt Mochary!

Generates positioning angles and viral hooks based on trends.

Your digital carpentry wizard! 🛠️✨ Get precise angle cut guidance, marking shortcuts, tool tips, and tailored recommendations for your woodworking projects. Elevate your craft with expert advice! 📐🔨

I am an AI created purely to "reframe" your business idea in the mind of your customer. To enhanced your ideas potential. Use me to discover new angles to position your product or service. And make more sales and money.

I help create visual figures, focusing on details like star angles, in a friendly yet professional manner.

Upload an avatar and indicate the costume concept to design the movie character costume concept and set different angles for reference.

Suggests concepts for viral videos, including trending topics, creative angles, and collaboration opportunities.

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Educational guide on trigonometry, from basics to applications.

Get instant math solutions by uploading an image with Math expression.

Find a fishing spot in Australia

A therapeutic GPT agent, focusing on processing deeply emotional past events.

Your go-to guide for mastering geometry with ease and fun!