Best AI tools for< Train Custom Neural Networks >

Vize.ai is a custom image recognition API provided by Ximilar, a leading company in Visual AI and Search. The tool offers powerful artificial intelligence capabilities with high accuracy using deep learning algorithms. It allows users to easily set up and implement cutting-edge vision automation without any development costs. Vize.ai enables users to train custom neural networks to recognize specific images and provides a scalable solution with continuous improvements in machine learning algorithms. The tool features an intuitive interface that requires no machine learning or coding knowledge, making it accessible for a wide range of users across industries.

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.

Arcee AI is a platform that offers a cost-effective, secure, end-to-end solution for building and deploying Small Language Models (SLMs). It allows users to merge and train custom language models by leveraging open source models and their own data. The platform is known for its Model Merging technique, which combines the power of pre-trained Large Language Models (LLMs) with user-specific data to create high-performing models across various industries.

Flowshot is an AI plugin for Google Sheets that allows users to supercharge their spreadsheets with AI. With Flowshot, users can work faster with AI prompts, autocomplete repetitive tasks, build custom AI models without code, and generate formulas and AI images. Flowshot is used by organizations of all shapes and sizes and has been rated 5 stars by its customers.

Scenario is a web-based application that allows users to train custom AI models to generate game assets. With Scenario, users can create unique and style-consistent game assets in seconds, without the need for any coding or machine learning expertise. Scenario is the ultimate choice for game professionals seeking full control over their AI. It is a fantastic creativity tool that inspires creators, sparks artists' creativity, empowers efficient work, notably shortens time-to-market, accelerates asset ideation, visual iterations, and effectively engages early testers.

Chaindesk is a no-code platform that allows businesses to train custom ChatGPT chatbots on their own data. With Chaindesk, businesses can automate customer support, lead generation, and more. Chaindesk's chatbots are secure, precise, and can be deployed on a variety of platforms, including websites, WhatsApp, and Slack.

Imagga is a leading provider of image recognition solutions for developers and businesses. Its API empowers intelligent apps with customizable machine learning technology. Imagga's solutions include tagging, categorization, cropping, color extraction, visual search, facial recognition, custom training, and content moderation. These solutions are used by over 30K startups, developers, and students, and trusted by over 200 business customers in more than 82 countries worldwide.

Stablematic is a web-based platform that allows users to run Stable Diffusion and other machine learning models without the need for local setup or hardware limitations. It provides a user-friendly interface, pre-installed plugins, and dedicated GPU resources for a seamless and efficient workflow. Users can generate images and videos from text prompts, merge multiple models, train custom models, and access a range of pre-trained models, including Dreambooth and CivitAi models. Stablematic also offers API access for developers and dedicated support for users to explore and utilize the capabilities of Stable Diffusion and other machine learning models.

Genice is an online face swap tool that allows users to effortlessly swap faces in videos or images. With its advanced technology, Genice can generate realistic results by incorporating multiple face images, delivering superior quality compared to the method of using just a single face image. Users can train their custom model with just about 10 images and endlessly generate their dream photos or videos. Genice also offers a variety of features such as changing faces in any video or image effortlessly, generating images through style selection, and providing free credits to new sign-up users.

Rupert AI is an all-in-one AI platform that allows users to train custom AI models for text, audio, video, and images. The platform streamlines AI workflows by providing access to the latest open-source AI models and tools in a single studio tailored to business needs. Users can automate their AI workflow, generate high-quality AI product photography, and utilize popular AI workflows like the AI Fashion Model Generator and Facebook Ad Testing Tool. Rupert AI aims to revolutionize the way businesses leverage AI technology to enhance marketing visuals, streamline operations, and make informed decisions.

OpenArt is an AI-powered art platform that offers a free AI image generator and editor. It allows users to create images using pre-built models or by training their own models. The platform provides an intuitive AI drawing tool and editing suite to transform artistic concepts into reality. OpenArt stands out for its boundary-free AI drawing, advanced AI art tools, diverse artistic styles, and the ability to train custom AI models. It caters to both amateur and professional artists, offering high-quality art creation and comprehensive support. Users can experiment with various styles, receive detailed feedback, and collaborate on artistic projects through the platform.

AI Product Shot is an innovative AI tool that enables users to create professional product ads quickly and effortlessly. With AI Product Shot, users can experiment with various product shots, generate photorealistic concepts, and create stunning product ads that drive conversions. The tool eliminates the need for a physical studio setup, allowing brands to bring their products to life with ease. AI Product Shot offers studio-quality results, transforming basic background product shots into professional assets in minutes. Users can train custom AI models, experiment with different environments and lighting, and produce unique product images with unlimited creativity.

GetImg.ai is an all-in-one AI creative toolkit that provides a suite of powerful AI tools for creating and editing images. With GetImg.ai, you can generate images from text, edit photos with words, expand pictures beyond their borders, animate images, or train custom AI models. The platform is easy to use and offers a variety of features and advantages that make it a valuable tool for creative professionals and anyone looking to create stunning visuals.

Imajinn AI is a cutting-edge visualization tool that utilizes the latest in AI technology to reimagine photos and images into stunning works of art. The platform offers a suite of AI-powered products and tools, including personalized children's books, couples portraits, product visualizer, sneaker generator, and a WordPress plugin. Users can create memorable gifts, products, and experiences with Imajinn's AI-powered tools, making it easy to transform ordinary photos into extraordinary creations. Imajinn also provides users with the ability to train custom AI models, generate concept images, and download raw AI model checkpoints for further use in their applications.

Osher.ai is a personal AI for businesses that allows users to interact with websites, intranets, knowledge bases, process documents, spreadsheets, and procedures. It can be used to train custom AIs on internal knowledge bases, process documents, and files. Osher.ai also offers private and public AIs, and users can customize their AIs' personality, purpose, and welcome message.

AI Image Generator Free is a powerful online tool that allows users to create and edit images using the capabilities of artificial intelligence. Users can easily generate images from text, edit photos with words, expand pictures beyond their borders, train custom AI models, and much more. The tool offers a variety of features to enhance creativity and streamline image creation processes.

Instashot is an AI application that allows users to generate AI portraits with the highest face resemblance in less than a minute. Users can submit their photos to train a custom AI model, which can then be used to generate portraits with unique prompts. The application offers different pricing tiers with varying features and benefits, making it accessible to a wide range of users. Instashot utilizes Stable Diffusion AI technologies to create portraits that best describe the user, ensuring high-quality results. The application is user-friendly, efficient, and provides a fun way to explore AI-generated art.

AnythingYou.AI is an AI tool that generates beautiful profile pictures using AI avatars. Users can create custom AI avatars by uploading 10-20 selfies, and the tool will train a custom model for them immediately. The generated avatar images are high-quality and realistic, created using innovative technologies like Stable Diffusion and DreamBooth. Users can easily create avatars without the need for subscriptions or app installs, and get their avatar images in just 2 hours. The tool ensures user privacy by using images only for model training and deleting them immediately after avatar generation.

SnapShotAI is an AI-powered platform that allows users to create unique and personalized profile pictures, avatars, and headshots. With SnapShotAI, users can upload their photos and train a custom AI model that generates hundreds of profile pictures in various styles, including artistic, realistic, and cartoonish. The platform offers both standard and high-quality images, suitable for both online use and printing. SnapShotAI also provides gift vouchers for those who want to share the experience with loved ones.

Facet is a cutting-edge generative imagery tool that helps creative professionals focus on what matters. It provides creative assistance without trading off artistic control. Facet helps overcome time and resource constraints that prevent trying out ideas. It offers an intuitive image generation experience with more than just text prompts, including image references, automatic prompt variations, and even custom models trained on the user's exact aesthetic. Facet allows users to train a custom model using their own images in minutes, generating endless assets in their exact vision. Users can add image references to any prompt, instantly getting images that adhere to their subject or style. Facet provides a collaborative canvas for users to riff with teammates and build off of each other's prompts and ideas.

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.

Fairseq is a sequence modeling toolkit that enables researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks. It provides reference implementations of various sequence modeling papers covering CNN, LSTM networks, Transformer networks, LightConv, DynamicConv models, Non-autoregressive Transformers, Finetuning, and more. The toolkit supports multi-GPU training, fast generation on CPU and GPU, mixed precision training, extensibility, flexible configuration based on Hydra, and full parameter and optimizer state sharding. Pre-trained models are available for translation and language modeling with a torch.hub interface. Fairseq also offers pre-trained models and examples for tasks like XLS-R, cross-lingual retrieval, wav2vec 2.0, unsupervised quality estimation, and more.

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

Zeta is a tool designed to build state-of-the-art AI models faster by providing modular, high-performance, and scalable building blocks. It addresses the common issues faced while working with neural nets, such as chaotic codebases, lack of modularity, and low performance modules. Zeta emphasizes usability, modularity, and performance, and is currently used in hundreds of models across various GitHub repositories. It enables users to prototype, train, optimize, and deploy the latest SOTA neural nets into production. The tool offers various modules like FlashAttention, SwiGLUStacked, RelativePositionBias, FeedForward, BitLinear, PalmE, Unet, VisionEmbeddings, niva, FusedDenseGELUDense, FusedDropoutLayerNorm, MambaBlock, Film, hyper_optimize, DPO, and ZetaCloud for different tasks in AI model development.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

CIFAR-10 Airbench is a project offering fast and stable training baselines for CIFAR-10 dataset, facilitating machine learning research. It provides easily runnable PyTorch scripts for training neural networks with high accuracy levels. The methods used in this project aim to accelerate research on fundamental properties of deep learning. The project includes GPU-accelerated dataloader for custom experiments and trainings, and can be used for data selection and active learning experiments. The training methods provided are faster than standard ResNet training, offering improved performance for research projects.

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.

Neural Network Compression Framework (NNCF) provides a suite of post-training and training-time algorithms for optimizing inference of neural networks in OpenVINO™ with a minimal accuracy drop. It is designed to work with models from PyTorch, TorchFX, TensorFlow, ONNX, and OpenVINO™. NNCF offers samples demonstrating compression algorithms for various use cases and models, with the ability to add different compression algorithms easily. It supports GPU-accelerated layers, distributed training, and seamless combination of pruning, sparsity, and quantization algorithms. NNCF allows exporting compressed models to ONNX or TensorFlow formats for use with OpenVINO™ toolkit, and supports Accuracy-Aware model training pipelines via Adaptive Compression Level Training and Early Exit Training.

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.

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.

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.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

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.

PyTorch Forecasting is a PyTorch-based package designed for state-of-the-art timeseries forecasting using deep learning architectures. It offers a high-level API and leverages PyTorch Lightning for efficient training on GPU or CPU with automatic logging. The package aims to simplify timeseries forecasting tasks by providing a flexible API for professionals and user-friendly defaults for beginners. It includes features such as a timeseries dataset class for handling data transformations, missing values, and subsampling, various neural network architectures optimized for real-world deployment, multi-horizon timeseries metrics, and hyperparameter tuning with optuna. Built on pytorch-lightning, it supports training on CPUs, single GPUs, and multiple GPUs out-of-the-box.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

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.

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