Best AI tools for< Create Neural Networks >
20 - AI tool Sites
Neuralarts
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.
Gerwin AI
Gerwin AI is a neural network content generator and writer assistant that helps users create unique text and images using artificial intelligence. It offers a range of features for marketers, entrepreneurs, copywriters, and agencies, including automated text writing, social media post creation, article and long-form content generation, and image generation. Gerwin AI is designed to save users time and money while improving the quality and consistency of their content.
NeuralBlender
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.
Phygital+
Phygital+ is an AI-powered platform that helps businesses bridge the gap between the physical and digital worlds. With Phygital+, businesses can create immersive and interactive experiences for their customers, using a variety of AI-powered tools. These tools include computer vision, natural language processing, and machine learning. Phygital+ is easy to use and can be integrated with a variety of existing systems. It is also scalable, so businesses of all sizes can use it to improve their customer experience.
AI Photo Organizer
The AI photo organizer is a user-friendly web application that utilizes neural networks to help users securely and efficiently organize their photo collections. Users can create custom classes, sort photos, and eliminate duplicates while keeping their data safe on their own computer. The application offers a simple, private, and seamless photo management experience.
Porn Works AI
Porn Works AI is an AI-powered tool that generates pornographic images using neural networks. It allows users to create and customize images of naked girls by replacing faces, clothes, and other elements. The tool offers a variety of templates, including hentai and teen themes, to produce explicit content. Users can refine imperfections and create high-quality, photorealistic images with specific features like hairstyles, expressions, and backgrounds. The website is intended for adults only and requires users to confirm they are 18 years or older before accessing the content.
Luma AI Video Generator
The Luma AI Video Generator is an advanced AI tool developed by Luma Labs that allows users to create realistic videos quickly from text prompts. It offers high-quality video generation capabilities using advanced neural networks and transformer models. The tool stands out in the market for its accessible, high-quality video creation features, making it ideal for both personal and professional use. Users can easily start creating videos for free online, leveraging the innovative technology developed by Luma Labs.
HookGen
HookGen is a music hook generator that uses artificial intelligence to create original song music hooks. It was created to showcase the creative capabilities of AI and to provide musicians with a tool for generating new musical ideas. The website features a simple interface that allows users to select the desired emotion, note complexity, and type of hook they want to generate. HookGen then uses a trained artificial neural network to generate a unique song hook that can be played back or downloaded as a MIDI file. The website also includes a feedback form that allows users to provide feedback on the generated hooks, which is used to improve the AI engine.
Phraser
Phraser is a free online tool that allows you to create images, music, and text using artificial intelligence. With Phraser, you can create unique and interesting content without any prior experience or knowledge. Simply enter a few words or phrases into the Phraser interface, and the AI will generate a variety of creative content for you.
Zazow
Zazow is a website that allows users to create algorithmic generative art. Users can select from a variety of algorithms to create unique digital artwork. The algorithms are easy to use and allow users to have total control over every aspect of the artwork. Users can save their artwork and share it with the Zazow community. They can also download their finished artwork and use it in creative ways.
AI Song Cover Generator
The AI Song Cover Generator is a free and online tool that allows users to create song covers without any artistic or coding skills. Users simply need to upload their lyrics and the AI will generate a unique and personalized song cover based on the lyrics. The AI Song Cover Generator is powered by advanced AI algorithms, including Stable Diffusion XL, which have been trained on a vast array of music genres and styles. This ensures that the AI Song Cover Generator can create song covers that are tailored to the specific style of the user's music.
Cascadeur
Cascadeur is a standalone 3D software that lets you create keyframe animation, as well as clean up and edit any imported ones. Thanks to its AI-assisted and physics tools you can dramatically speed up the animation process and get high quality results. It works with .FBX, .DAE and .USD files making it easy to integrate into any animation workflow.
DADABOTS
DADABOTS is a website that uses neural networks to generate music. The website features a variety of different music genres, including death metal, jazz, and breakcore. DADABOTS also offers a variety of different ways to interact with the music, including live streaming, live coding, and collabs.
Muse AI Art Generator
Muse AI is an advanced AI art generator tool that allows users to easily turn their ideas into stunning visuals by providing text prompts. The tool uses neural networks trained on large datasets of images and art to create unique digital artwork matching the described artistic style and qualities. Users can generate multiple images, refine them if needed, and add their own unique touch to create amazing AI art. Muse AI offers a stable user experience and provides full control over the aesthetic, making it a reliable choice for effortlessly turning textual descriptions into visual creations.
Muse AI Art Generator
Muse AI is an advanced AI art generator that utilizes neural networks trained on massive image datasets to create unique digital artwork based on text prompts. Users can easily turn their ideas into stunning visuals by entering detailed descriptions and selecting a style. Muse AI offers a stable user experience and provides full control over the aesthetic, allowing for the generation of unlimited original AI art in various styles. The application excels in converting text to images and offers a variety of models for diverse creative needs.
Chad AI
Chad AI is an AI-powered chatbot application that leverages advanced neural networks like GPT-4o, Midjourney, Stable Diffusion, and Dall-E to provide users with quick and efficient responses in Russian. The application supports text and code processing, content creation, image generation, and text improvement. It offers a range of subscription plans to cater to different user needs and preferences, ensuring seamless access to cutting-edge AI technologies for various tasks.
TattoosAI
TattoosAI is an AI-powered tattoo generator that helps users create unique and personalized tattoo designs. With TattoosAI, users can simply enter their tattoo idea into a prompt field, and the AI will generate multiple design concepts based on their input. Users can then select the style and color of their tattoo, and the AI will generate a final design that is ready to be inked. TattoosAI is a great tool for anyone who is looking for a unique and personalized tattoo design.
NokémonAI
NokémonAI is a web-based application that allows users to generate their own Fakémon using artificial intelligence. Users can select from a variety of options to customize their Fakémon, including its type, appearance, and abilities. The application then uses AI to generate a unique Fakémon design. NokémonAI is a fun and creative way to explore the world of Pokémon and create your own unique creatures.
TeeAI
TeeAI is an online platform that allows users to create custom T-shirt designs using artificial intelligence (AI). Users simply type in a description of the design they want, and TeeAI's AI generates a unique, one-of-a-kind design. TeeAI's designs are printed on high-quality T-shirts, and users can choose from a variety of colors and sizes. TeeAI is a great way to express your creativity and wear your imagination.
myBeat
myBeat is an online platform that allows users to create vinyl music videos. It is powered by artificial intelligence (AI) and offers a variety of features, including AI artwork generation, overlay and FX, videos and GIFs, no watermark, Spotify Canvas, track selection, and customization. myBeat is easy to use and can be used to create high-quality music videos that can be shared on social media or used for promotion.
20 - Open Source AI Tools
burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
datadreamer
DataDreamer is an advanced toolkit designed to facilitate the development of edge AI models by enabling synthetic data generation, knowledge extraction from pre-trained models, and creation of efficient and potent models. It eliminates the need for extensive datasets by generating synthetic datasets, leverages latent knowledge from pre-trained models, and focuses on creating compact models suitable for integration into any device and performance for specialized tasks. The toolkit offers features like prompt generation, image generation, dataset annotation, and tools for training small-scale neural networks for edge deployment. It provides hardware requirements, usage instructions, available models, and limitations to consider while using the library.
qdrant
Qdrant is a vector similarity search engine and vector database. It is written in Rust, which makes it fast and reliable even under high load. Qdrant can be used for a variety of applications, including: * Semantic search * Image search * Product recommendations * Chatbots * Anomaly detection Qdrant offers a variety of features, including: * Payload storage and filtering * Hybrid search with sparse vectors * Vector quantization and on-disk storage * Distributed deployment * Highlighted features such as query planning, payload indexes, SIMD hardware acceleration, async I/O, and write-ahead logging Qdrant is available as a fully managed cloud service or as an open-source software that can be deployed on-premises.
llm-course
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 | ![Open In Colab](img/colab.svg) | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. | ![Open In Colab](img/colab.svg) | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. | ![Open In Colab](img/colab.svg) | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. | ![Open In Colab](img/colab.svg) | | 🌳 Model Family Tree | Visualize the family tree of merged models. | ![Open In Colab](img/colab.svg) | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. | ![Open In Colab](img/colab.svg) |
nntrainer
NNtrainer is a software framework for training neural network models on devices with limited resources. It enables on-device fine-tuning of neural networks using user data for personalization. NNtrainer supports various machine learning algorithms and provides examples for tasks such as few-shot learning, ResNet, VGG, and product rating. It is optimized for embedded devices and utilizes CBLAS and CUBLAS for accelerated calculations. NNtrainer is open source and released under the Apache License version 2.0.
cl-waffe2
cl-waffe2 is an experimental deep learning framework in Common Lisp, providing fast, systematic, and customizable matrix operations, reverse mode tape-based Automatic Differentiation, and neural network model building and training features accelerated by a JIT Compiler. It offers abstraction layers, extensibility, inlining, graph-level optimization, visualization, debugging, systematic nodes, and symbolic differentiation. Users can easily write extensions and optimize their networks without overheads. The framework is designed to eliminate barriers between users and developers, allowing for easy customization and extension.
xlang
XLang™ is a cutting-edge language designed for AI and IoT applications, offering exceptional dynamic and high-performance capabilities. It excels in distributed computing and seamless integration with popular languages like C++, Python, and JavaScript. Notably efficient, running 3 to 5 times faster than Python in AI and deep learning contexts. Features optimized tensor computing architecture for constructing neural networks through tensor expressions. Automates tensor data flow graph generation and compilation for specific targets, enhancing GPU performance by 6 to 10 times in CUDA environments.
Deej-AI
Deej-A.I. is an advanced machine learning project that aims to revolutionize music recommendation systems by using artificial intelligence to analyze and recommend songs based on their content and characteristics. The project involves scraping playlists from Spotify, creating embeddings of songs, training neural networks to analyze spectrograms, and generating recommendations based on similarities in music features. Deej-A.I. offers a unique approach to music curation, focusing on the 'what' rather than the 'how' of DJing, and providing users with personalized and creative music suggestions.
app_generative_ai
This repository contains course materials for T81 559: Applications of Generative Artificial Intelligence at Washington University in St. Louis. The course covers practical applications of Large Language Models (LLMs) and text-to-image networks using Python. Students learn about generative AI principles, LangChain, Retrieval-Augmented Generation (RAG) model, image generation techniques, fine-tuning neural networks, and prompt engineering. Ideal for students, researchers, and professionals in computer science, the course offers a transformative learning experience in the realm of Generative AI.
cheat-sheet-pdf
The Cheat-Sheet Collection for DevOps, Engineers, IT professionals, and more is a curated list of cheat sheets for various tools and technologies commonly used in the software development and IT industry. It includes cheat sheets for Nginx, Docker, Ansible, Python, Go (Golang), Git, Regular Expressions (Regex), PowerShell, VIM, Jenkins, CI/CD, Kubernetes, Linux, Redis, Slack, Puppet, Google Cloud Developer, AI, Neural Networks, Machine Learning, Deep Learning & Data Science, PostgreSQL, Ajax, AWS, Infrastructure as Code (IaC), System Design, and Cyber Security.
alignment-attribution-code
This repository provides an original implementation of Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. It includes tools for neuron-level pruning, pruning based on set difference, Wanda/SNIP score dumping, rank-level pruning, and rank removal with orthogonal projection. Users can specify parameters like prune method, datasets, sparsity ratio, model, and save location to evaluate and modify neural networks for safety alignment.
AI-For-Beginners
AI-For-Beginners is a comprehensive 12-week, 24-lesson curriculum designed by experts at Microsoft to introduce beginners to the world of Artificial Intelligence (AI). The curriculum covers various topics such as Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, Genetic Algorithms, and Multi-Agent Systems. It includes hands-on lessons, quizzes, and labs using popular frameworks like TensorFlow and PyTorch. The focus is on providing a foundational understanding of AI concepts and principles, making it an ideal starting point for individuals interested in AI.
create-million-parameter-llm-from-scratch
The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.
AITemplate
AITemplate (AIT) is a Python framework that transforms deep neural networks into CUDA (NVIDIA GPU) / HIP (AMD GPU) C++ code for lightning-fast inference serving. It offers high performance close to roofline fp16 TensorCore (NVIDIA GPU) / MatrixCore (AMD GPU) performance on major models. AITemplate is unified, open, and flexible, supporting a comprehensive range of fusions for both GPU platforms. It provides excellent backward capability, horizontal fusion, vertical fusion, memory fusion, and works with or without PyTorch. FX2AIT is a tool that converts PyTorch models into AIT for fast inference serving, offering easy conversion and expanded support for models with unsupported operators.
pytorch-forecasting
PyTorch Forecasting is a PyTorch-based package for time series forecasting with state-of-the-art network architectures. It offers a high-level API for training networks on pandas data frames and utilizes PyTorch Lightning for scalable training on GPUs and CPUs. The package aims to simplify time series forecasting with neural networks by providing a flexible API for professionals and default settings for beginners. It includes a timeseries dataset class, base model class, multiple neural network architectures, multi-horizon timeseries metrics, and hyperparameter tuning with optuna. PyTorch Forecasting is built on pytorch-lightning for easy training on various hardware configurations.
djl
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. It is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and allows users to integrate machine learning and deep learning models with their Java applications. The framework is deep learning engine agnostic, enabling users to switch engines at any point for optimal performance. DJL's ergonomic API interface guides users with best practices to accomplish deep learning tasks, such as running inference and training neural networks.
ai_projects
This repository contains a collection of AI projects covering various areas of machine learning. Each project is accompanied by detailed articles on the associated blog sciblog. Projects range from introductory topics like Convolutional Neural Networks and Transfer Learning to advanced topics like Fraud Detection and Recommendation Systems. The repository also includes tutorials on data generation, distributed training, natural language processing, and time series forecasting. Additionally, it features visualization projects such as football match visualization using Datashader.
nlp-llms-resources
The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.
PaddleScience
PaddleScience is a scientific computing suite developed based on the deep learning framework PaddlePaddle. It utilizes the learning ability of deep neural networks and the automatic (higher-order) differentiation mechanism of PaddlePaddle to solve problems in physics, chemistry, meteorology, and other fields. It supports three solving methods: physics mechanism-driven, data-driven, and mathematical fusion, and provides basic APIs and detailed documentation for users to use and further develop.
ludwig
Ludwig is a declarative deep learning framework designed for scale and efficiency. It is a low-code framework that allows users to build custom AI models like LLMs and other deep neural networks with ease. Ludwig offers features such as optimized scale and efficiency, expert level control, modularity, and extensibility. It is engineered for production with prebuilt Docker containers, support for running with Ray on Kubernetes, and the ability to export models to Torchscript and Triton. Ludwig is hosted by the Linux Foundation AI & Data.
20 - OpenAI Gpts
Neural Network Creator
Assists with creating, refining, and understanding neural networks.
Zealous Artist
I pour my weights and biases into every stroke, striving for "maximal perfection" 😊🎨🤖
Create an agent team
First, please say "Create an agent team to do 〇〇." / 最初に「〇〇をするためのエージェントチームを作成してください」とお伝え下さい
Create A Business Model Canvas For Your Business
Let's get started by telling me about your business: What do you offer? Who do you serve? ------------------------------------------------------- Need help Prompt Engineering? Reach out on LinkedIn: StephenHnilica
Create Short Stories to Learn a Language
2500+ word stories in target language with images, for language learning.
SuperHero Me | Create a SuperHero Alter Ego
Level up Now. Upload a selfie for some superhero flair. Create a backstory. Select a superpower, arch-villain, and crew. Answer trivia. Pow!
Create Your Christian Prayer
Tell me about your situation and the type of prayer you would like
周易运势头像Create a Lucky avatar image
利用专业的周易知识和命理知识进行头像设计 Generates and explains lucky profile pictures based on I Ching, zodiac.
画像から超詳細なプロンプトを作成するツール - Create prompts from images
Create a very detailed prompt from the image. 画像からめっちゃ詳細なプロンプトを作成します。まずは解析して欲しい画像を送ってみてください。
Create a Business 1-Pager Snippet v2
1) Input a URL, attachment, or copy/paste a bunch of info about your biz. 2) I will return a summary of what's important. 3) Use what I give you for other prompts, e.g.: marketing strategy, content ideas, competitive analysis, etc