Best AI tools for< Neural Signal Processing Engineer >

Neuralink is a pioneering brain-computer interface (BCI) application that aims to redefine human capabilities by creating a generalized brain interface to restore autonomy to individuals with unmet medical needs. The application focuses on developing fully implantable BCIs that allow users, particularly those with quadriplegia, to control computers and mobile devices using their thoughts. Neuralink's innovative technology includes advanced chips, biocompatible enclosures, and surgical robots for precise implantation. The application prioritizes safety, accessibility, and reliability in its engineering process, with future goals of restoring vision, motor function, and speech capabilities.

Neural.love is a free AI art generator and AI enhancer that allows users to create and enhance images using artificial intelligence. It also provides access to millions of public domain images. The platform is easy to use and offers a variety of features, making it a great option for both beginners and experienced users.

Neural Frames is an AI-powered video animation generator that allows users to create videos from text prompts. It is designed to be easy to use, even for those with no prior experience in video editing. Neural Frames offers a variety of features, including the ability to create videos in any style, control the camera, and add music. It is also possible to train custom AI models to achieve specific styles or character consistency.

Neural Concept is an end-to-end platform for high-performance engineering teams, powered by a leading proprietary 3D AI core. It accelerates product development and innovation with industry-leading 3D deep-learning and simulation capabilities. The platform works with various CAE and CAD softwares, offering 3D visual feedback, collaborative environment, and LLM guidance to boost engineers' impact. Neural Concept is used by engineering companies to design and deliver better products faster, bringing AI-designed products to market up to 75% faster.

Neural Consult is a cutting-edge AI-powered medical education platform that offers personalized learning tools to empower medical students. The platform provides unlimited board questions, Anki cards, clinical simulations, and more, tailored to individual study needs. With features like question generation, lecture summaries, differential diagnosis, and AI-powered case simulations, Neural Consult revolutionizes the way medical students learn and prepare for exams. Trusted by students at top medical schools, Neural Consult aims to enhance clinical reasoning, memorization skills, and overall learning efficiency through innovative AI technology.

Neural Canvas is an AI comic generator that allows users to create perfect comics using artificial intelligence. The platform offers over 100 different styles and characters to transform stories into visually appealing comics. Users can choose from various moods, styles, and characters to customize their comic creations. Neural Canvas has generated over 9,000 comics globally and provides a unique and creative way to bring stories to life through AI technology.

Neural Actors is an AI-powered video creation tool that allows users to generate studio-quality videos using AI-generated actors. With Neural Actors, users can choose from a variety of AI-generated actors, write a script, and download the video. The AI-generated actors can move and talk like real humans, and they can be placed in real-life settings or in selfie mode. Neural Actors is perfect for creating social media posts, marketing videos, and other types of videos.

The website offers interactive tutorials on neural networks and deep learning, providing a comprehensive platform for mastering neural networks in an intuitive, natural, and cohesive manner. Users can access a visualized neural network lab with simplified datasets, a variety of 2D and 3D datasets for regression and classification, and interactive missions to deepen understanding. The platform also features intuitive tutorials, well-visualized neural network knowledge with charts and animations, and a visual deep learning model editor for efficient model building. Overall, it aims to enhance learning and understanding of neural networks through interactive and visual tools.

Neural Canvas is an AI-powered platform that allows users to create personalized comic books with the help of artificial intelligence technology. Users can craft their own heroes and let the AI generate a unique comic book based on their input. The platform offers features such as generating consistent virtual characters, creating speech bubbles, writing and continuing comics using AI, and exporting comics in e-book format. Neural Canvas provides different pricing plans for users to access various features and support. The platform is designed to empower users to unleash their creativity and storytelling skills through the use of AI technology.

Neural Newsletters is an AI-powered newsletter creation tool that helps users generate high-quality content tailored to their audience's preferences and interests. By integrating with AI text generation tools and sourcing news articles from news publishers, the platform allows users to create and publish engaging newsletters within minutes.

NeuralCam is an AI-powered photography application that leverages the power of AI throughout the photography process to help users capture better photos. The app offers a 3-step AI photography system that includes composition guidance, smart capturing modes, and professional-level auto-editing features. NeuralCam provides real-time guidance to help users create better compositions, identify compelling subjects, and use lighting to their advantage. The app also offers smart capture modes like SmartHDR and DeepFusion, as well as AI upscaling technology for enhancing image quality. With features like AI bokeh effects, intelligent illumination, and professional color grading, NeuralCam aims to provide users with professional-grade photography tools in a user-friendly interface.

Neural4D is an AI tool designed to provide advanced neural network solutions. It offers a range of features for deep learning applications, including image recognition, natural language processing, and predictive analytics. With Neural4D, users can build and train complex neural networks to solve various real-world problems. The tool is user-friendly and suitable for both beginners and experienced AI practitioners.

fast.ai is a non-profit organization that provides free online courses and resources on deep learning and artificial intelligence. The organization was founded in 2016 by Jeremy Howard and Rachel Thomas, and has since grown to a community of over 100,000 learners from all over the world. fast.ai's mission is to make deep learning accessible to everyone, regardless of their background or experience. The organization's courses are taught by leading experts in the field, and are designed to be practical and hands-on. fast.ai also offers a variety of resources to help learners get started with deep learning, including a forum, a wiki, and a blog.

fast.ai is an AI tool that offers courses and resources on deep learning and practical applications of artificial intelligence. The platform provides high-level components for practitioners to achieve state-of-the-art results in standard deep learning tasks. It aims to increase diversity in the field of deep learning and lower barriers to entry for everyone.

Quick, Draw! is a game built with machine learning. You draw, and a neural network tries to guess what you're drawing. Of course, it doesn't always work. But the more you play with it, the more it will learn. So far we have trained it on a few hundred concepts, and we hope to add more over time. We made this as an example of how you can use machine learning in fun ways.

Multilings is a neural AI-based machine learning service that provides human-like output for text translation, content writing, plagiarism detection, and voice translation. It is designed for marketers, content writers, researchers, students, and anyone who needs to create high-quality content quickly and efficiently. Multilings offers a range of tools, including a writing assistant, language translator, plagiarism checker, citation generator, and AI chatbot. These tools are powered by advanced machine learning and artificial intelligence algorithms that can generate natural-sounding text, translate languages accurately, detect plagiarism effectively, and provide helpful writing suggestions.

CEBRA is a machine-learning method that compresses time series data to reveal hidden structures in the variability of the data. It excels in analyzing behavioral and neural data simultaneously, decoding activity from the visual cortex of the mouse brain to reconstruct viewed videos. CEBRA is a novel encoding method that leverages behavioral and neural data to produce consistent and high-performance latent spaces, allowing for hypothesis testing, label-free usage, and accurate decoding of natural movies from the visual cortex.

Neuralarts is an all-in-one generative AI art platform that allows users to create AI-generated artwork, animations, music, and speech. The platform is easy to use and requires no prior experience with AI. Users can simply input a text prompt and the platform will generate a unique piece of artwork, animation, music, or speech. Neuralarts is a great tool for artists, designers, musicians, and anyone else who wants to create unique and innovative content.

NeuralBlender is a web-based application that allows users to create unique and realistic images using artificial intelligence. The application uses a generative adversarial network (GAN) to generate images from scratch, or to modify existing images. NeuralBlender is easy to use, and does not require any prior experience with artificial intelligence or image editing. Users simply need to upload an image or select a style, and the application will generate a new image based on the input. NeuralBlender can be used to create a wide variety of images, including landscapes, portraits, and abstract art. The application is also capable of generating images that are realistic, stylized, or even surreal.

Akadimia Ai is an AI-powered platform designed to provide users with a range of educational resources and tools. The platform leverages artificial intelligence to offer personalized learning experiences, interactive tutorials, and assessments. Users can access a variety of courses, quizzes, and study materials tailored to their individual needs and learning preferences. Akadimia Ai aims to enhance the learning process by offering adaptive content recommendations and progress tracking features. Whether you are a student looking to improve your academic performance or a professional seeking to acquire new skills, Akadimia Ai offers a comprehensive learning solution to help you achieve your goals.

The 'ai-audio-startups' repository is a community list of startups working with AI for audio and music tech. It includes a comprehensive collection of tools and platforms that leverage artificial intelligence to enhance various aspects of music creation, production, source separation, analysis, recommendation, health & wellbeing, radio/podcast, hearing, sound detection, speech transcription, synthesis, enhancement, and manipulation. The repository serves as a valuable resource for individuals interested in exploring innovative AI applications in the audio and music industry.

This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.

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. |  |

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

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.

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

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 curated list of awesome public object detection and recognition datasets. It includes a wide range of datasets related to object detection and recognition tasks, such as general detection and recognition datasets, autonomous driving datasets, adverse weather datasets, person detection datasets, anti-UAV datasets, optical aerial imagery datasets, low-light image datasets, infrared image datasets, SAR image datasets, multispectral image datasets, 3D object detection datasets, vehicle-to-everything field datasets, super-resolution field datasets, and face detection and recognition datasets. The repository also provides information on tools for data annotation, data augmentation, and data management related to object detection tasks.

This repository, Awesome Efficient AIGC, collects efficient approaches for AI-generated content (AIGC) to cope with its huge demand for computing resources. It includes efficient Large Language Models (LLMs), Diffusion Models (DMs), and more. The repository is continuously improving and welcomes contributions of works like papers and repositories that are missed by the collection.

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.

A neural signal processing engineer, skilled in MATLAB and Python coding assistance.

Assists with creating, refining, and understanding neural networks.

Neural Network Master V2.0

Deep learning teacher explaining neural networks in Chinese with an engaging, humorous tone.

一款基于深度神经网络预测给出中国A股股票买入建议的智能投资顾问 An intelligent investment advisor based on deep neural network for predicting buy recommendations for Chinese A-share stocks.

Generates PyTorch code from neural network images.

Expert in physics-informed neural networks for practitioners

An expert in video from classic to future neural network compression

I'm Back Propagation, here to help you understand and apply back propagation techniques to your AI models.

双语学术写作助手

Concise NeRF guide, summarizing top papers and aiding research.

Guiding you through the depths of deep learning with accuracy and respect.

Stay informed on AGI - with the latest, most relevant news.

I pour my weights and biases into every stroke, striving for "maximal perfection" 😊🎨🤖

The most comprehensive guide to ML theory and applications.

Personal AI mentor for deep learning education

Adapts explanations to user's TensorFlow skill level

I'm an expert in TensorFlow, providing detailed, accurate guidance for all skill levels.

Expert in PyTorch, adept at simplifying complex concepts.

A friendly and insightful guide to mastering PyTorch.