Best AI tools for< Create Transformers >

FutureSmart AI is a platform that provides custom Natural Language Processing (NLP) solutions. The platform focuses on integrating Mem0 with LangChain to enhance AI Assistants with Intelligent Memory. It offers tutorials, guides, and practical tips for building applications with large language models (LLMs) to create sophisticated and interactive systems. FutureSmart AI also features internship journeys and practical guides for mastering RAG with LangChain, catering to developers and enthusiasts in the realm of NLP and AI.

This website provides a tool that allows users to create PowerPoint presentations using GPTs (Generative Pre-trained Transformers). GPTs are large language models that can be used to generate text, translate languages, and answer questions. The tool is easy to use and can be used to create presentations on any topic. Users simply need to enter a few keywords and the tool will generate a presentation that is tailored to their needs.

GPTfy is a website that helps users find the best GPTs (Generative Pre-trained Transformers) for their needs. GPTs are AI-powered language models that can be used for a variety of tasks, such as writing, translating, and coding. GPTfy provides a directory of GPTs, as well as reviews and comparisons to help users choose the right GPT for their project.

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.

SongR is an AI-powered application that allows users to create fully customized songs with just a few clicks, without the need for any musical experience. It enables everyone to generate unique, personalized songs that can be easily shared with others. SongR's all-in-one AI Text-to-Song Transformer feature generates custom lyrics based on keywords, adds vocals and accompaniments from a chosen genre, and creates a unique song for social media sharing. The platform aims to democratize the creation of songs and music for all users.

EDGE is an AI-powered tool for editable dance generation from music. It utilizes a transformer-based diffusion model paired with Jukebox music feature extractor to create realistic and physically-plausible dances while staying faithful to input music. The tool offers powerful editing capabilities such as joint-wise conditioning, motion in-betweening, and dance continuation. EDGE stands out in dance generation compared to other methods, as human raters strongly prefer the dances generated by it. It supports various spatial and temporal constraints, enabling users to create dances of any length and complexity. Additionally, EDGE ensures physical plausibility by addressing foot sliding through Contact Consistency Loss.

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.

Voicemod is a free real-time voice changer and soundboard software that allows users to modify their voices in real-time. It is compatible with both Windows and macOS and can be used with a variety of applications, including games, chat apps, and video streaming platforms. Voicemod offers a wide range of voice effects, including robot, demon, chipmunk, woman, man, and many others. It also includes a soundboard feature that allows users to play sound effects at the touch of a button. Voicemod is a popular choice for gamers, content creators, and anyone who wants to add some fun and creativity to their voice communications.

Voicemod is a free real-time voice changer and soundboard available on both Windows and macOS. It allows users to change their voice in real-time, add sound effects, and create custom voices. Voicemod integrates with popular games, streaming software, and chat applications, making it a versatile tool for gamers, content creators, and anyone who wants to add some fun to their voice communication.

Dream Machine AI by Luma Labs is an advanced artificial intelligence model designed to generate high-quality, realistic videos quickly from text and images. This highly scalable and efficient transformer model is trained directly on videos, enabling it to produce physically accurate, consistent, and eventful shots. The AI can generate 5-second video clips with smooth motion, cinematic quality, and dramatic elements, transforming static snapshots into dynamic stories. It understands interactions between people, animals, and objects, allowing for videos with great character consistency and accurate physics. Dream Machine AI supports a wide range of fluid, cinematic, and naturalistic camera motions that match the emotion and content of the scene.

The website 'NEEDS MORE BOOM' is a fun and creative platform that allows users to reimagine their favorite movie scenes with more explosions and action-packed elements, inspired by the directing style of Michael Bay. Users can input a movie scene and the team behind the website will transform it into a high-octane spectacle. Created by Jess Wheeler and Jenny Nicholson, 'NEEDS MORE BOOM' aims to inject excitement and adrenaline into cinematic moments.

Flux AI is a cutting-edge AI image generator that utilizes transformer-based flow models to produce high-quality images. It offers three models - FLUX.1[pro], FLUX.1[dev], and FLUX.1[schnell], each catering to different user needs. From advertising to game development, Flux AI empowers users to create diverse visual content effortlessly. With its user-friendly interface and advanced capabilities, Flux AI is revolutionizing the field of AI art generation.

Imagen is an AI application that leverages text-to-image diffusion models to create photorealistic images based on input text. The application utilizes large transformer language models for text understanding and diffusion models for high-fidelity image generation. Imagen has achieved state-of-the-art results in terms of image fidelity and alignment with text. The application is part of Google Research's text-to-image work and focuses on encoding text for image synthesis effectively.

GPT Twitter Bot is an AI tool that generates bios for Twitter profiles using the GPT (Generative Pre-trained Transformer) model. Users can input prompts to the bot, and it will generate creative and engaging Twitter bios. The tool leverages AI technology to provide users with personalized and unique content for their social media profiles.

Dream Machine AI is a free, instant-access video generation model that transforms text and images into high-quality videos using advanced transformer models. It leverages Luma AI to create stunning videos effortlessly, with features like incredibly fast generation, realistic and consistent motion, high character consistency, and natural camera movements. Users can access the platform for free and enjoy the benefits of quick video generation with physically accurate and emotionally resonant content.

Flux AI is a cutting-edge text-to-image AI model developed by Black Forest Labs. It uses advanced transformer-powered flow models to generate high-quality images from text descriptions. Flux AI offers multiple model variants catering to different use cases and performance levels, with the fastest model, FLUX.1 [schnell], available for free under an Apache 2.0 license. Users can create various styles of images with prompt adherence, size/aspect variability, and output diversity. The application is committed to making advanced AI technology accessible to all users, fostering innovation and collaboration within the AI community.

Vidu Studio is an AI video generation platform that utilizes a text-to-video artificial intelligence model developed by ShengShu-AI in collaboration with Tsinghua University. It can create high-quality video content from text prompts, offering a 16-second 1080P video clip with a single click. The platform is built on the Universal Vision Transformer (U-ViT) architecture, combining Diffusion and Transformer models to produce realistic and detailed video content. Vidu Studio stands out for its ability to generate culturally specific content, particularly focusing on Chinese cultural elements like pandas and loongs. It is a pioneering platform in the field of text-to-video technology, with a strong potential to influence the future of digital media and content creation.

Phenaki is a model capable of generating realistic videos from a sequence of textual prompts. It is particularly challenging to generate videos from text due to the computational cost, limited quantities of high-quality text-video data, and variable length of videos. To address these issues, Phenaki introduces a new causal model for learning video representation, which compresses the video to a small representation of discrete tokens. This tokenizer uses causal attention in time, which allows it to work with variable-length videos. To generate video tokens from text, Phenaki uses a bidirectional masked transformer conditioned on pre-computed text tokens. The generated video tokens are subsequently de-tokenized to create the actual video. To address data issues, Phenaki demonstrates how joint training on a large corpus of image-text pairs as well as a smaller number of video-text examples can result in generalization beyond what is available in the video datasets. Compared to previous video generation methods, Phenaki can generate arbitrarily long videos conditioned on a sequence of prompts (i.e., time-variable text or a story) in an open domain. To the best of our knowledge, this is the first time a paper studies generating videos from time-variable prompts. In addition, the proposed video encoder-decoder outperforms all per-frame baselines currently used in the literature in terms of spatio-temporal quality and the number of tokens per video.

AIPetAvatar.com is an AI-powered pet transformer that allows you to transform your pet into anything you can imagine. With just a few clicks, you can upload a photo of your pet and choose from a variety of templates to transform them into a superhero, a princess, a pirate, or even a work of art. The results are hilarious, heartwarming, and perfect for sharing on social media.

The AI Music Generator is an advanced platform powered by AI technology that allows users to create original music in any genre, style, or mood. It offers a range of features such as Text To Song, Lyrics To Song, AI Song Cover Generator, Voice Remover, Music Extension, Lyrics Generator, and more. The platform leverages deep learning models, transformer architecture, and neural networks to produce professional-quality music with voice synthesis and audio processing capabilities. Users can customize music styles, genres, and arrangements, and the tool is suitable for musicians, content creators, game developers, filmmakers, podcasters, businesses, and creative professionals.

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.

Truss is a tool that simplifies the process of serving AI/ML models in production. It provides a consistent and easy-to-use interface for packaging, testing, and deploying models, regardless of the framework they were created with. Truss also includes a live reload server for fast feedback during development, and a batteries-included model serving environment that eliminates the need for Docker and Kubernetes configuration.

Intel® Extension for Transformers is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms, including Intel Gaudi2, Intel CPU, and Intel GPU. The toolkit provides the below key features and examples: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime (released with NeurIPS 2022's paper [Fast Distilbert on CPUs](https://arxiv.org/abs/2211.07715) and [QuaLA-MiniLM: a Quantized Length Adaptive MiniLM](https://arxiv.org/abs/2210.17114), and NeurIPS 2021's paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754)) * Optimized Transformer-based model packages such as [Stable Diffusion](examples/huggingface/pytorch/text-to-image/deployment/stable_diffusion), [GPT-J-6B](examples/huggingface/pytorch/text-generation/deployment), [GPT-NEOX](examples/huggingface/pytorch/language-modeling/quantization#2-validated-model-list), [BLOOM-176B](examples/huggingface/pytorch/language-modeling/inference#BLOOM-176B), [T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), [Flan-T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), and end-to-end workflows such as [SetFit-based text classification](docs/tutorials/pytorch/text-classification/SetFit_model_compression_AGNews.ipynb) and [document level sentiment analysis (DLSA)](workflows/dlsa) * [NeuralChat](intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of [plugins](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat/docs/advanced_features.md) such as [Knowledge Retrieval](./intel_extension_for_transformers/neural_chat/pipeline/plugins/retrieval/README.md), [Speech Interaction](./intel_extension_for_transformers/neural_chat/pipeline/plugins/audio/README.md), [Query Caching](./intel_extension_for_transformers/neural_chat/pipeline/plugins/caching/README.md), and [Security Guardrail](./intel_extension_for_transformers/neural_chat/pipeline/plugins/security/README.md). This framework supports Intel Gaudi2/CPU/GPU. * [Inference](https://github.com/intel/neural-speed/tree/main) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels for Intel CPU and Intel GPU (TBD), supporting [GPT-NEOX](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox), [LLAMA](https://github.com/intel/neural-speed/tree/main/neural_speed/models/llama), [MPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/mpt), [FALCON](https://github.com/intel/neural-speed/tree/main/neural_speed/models/falcon), [BLOOM-7B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/bloom), [OPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/opt), [ChatGLM2-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/chatglm), [GPT-J-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptj), and [Dolly-v2-3B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox). Support AMX, VNNI, AVX512F and AVX2 instruction set. We've boosted the performance of Intel CPUs, with a particular focus on the 4th generation Intel Xeon Scalable processor, codenamed [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html).

OpenCopilot is a tool that allows users to create their own AI copilot for their products. It integrates with APIs to execute calls as needed, using LLMs to determine the appropriate endpoint and payload. Users can define API actions, validate schemas, and integrate a user-friendly chat bubble into their SaaS app. The tool is capable of calling APIs, transforming responses, and populating request fields based on context. It is not suitable for handling large APIs without JSON transformers. Users can teach the copilot via flows and embed it in their app with minimal code.

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.

Efficient Transformers Library provides reimplemented blocks of Large Language Models (LLMs) to make models functional and highly performant on Qualcomm Cloud AI 100. It includes graph transformations, handling for under-flows and overflows, patcher modules, exporter module, sample applications, and unit test templates. The library supports seamless inference on pre-trained LLMs with documentation for model optimization and deployment. Contributions and suggestions are welcome, with a focus on testing changes for model support and common utilities.

This repository aims to build a low-parameter LLM model through pretraining, fine-tuning, model rewarding, and reinforcement learning stages to create a chat model capable of simple conversation tasks. It features using the bert4torch training framework, seamless integration with transformers package for inference, optimized file reading during training to reduce memory usage, providing complete training logs for reproducibility, and the ability to customize robot attributes. The chat model supports multi-turn conversations. The trained model currently only supports basic chat functionality due to limitations in corpus size, model scale, SFT corpus size, and quality.

Agency is a python library that provides an Actor model framework for creating agent-integrated systems. It offers an easy-to-use API for connecting agents with traditional software systems, enabling flexible and scalable architectures. Agency aims to empower developers in creating custom agent-based applications by providing a foundation for experimentation and development. Key features include an intuitive API, performance and scalability through multiprocessing and AMQP support, observability and control with action and lifecycle callbacks, access policies, and detailed logging. The library also includes a demo application with multiple agent examples, OpenAI agent examples, HuggingFace transformers agent example, operating system access, Gradio UI, and Docker configuration for reference and development.

Simple Transformers is a library based on the Transformers library by HuggingFace, allowing users to quickly train and evaluate Transformer models with only 3 lines of code. It supports various tasks such as Information Retrieval, Language Models, Encoder Model Training, Sequence Classification, Token Classification, Question Answering, Language Generation, T5 Model, Seq2Seq Tasks, Multi-Modal Classification, and Conversational AI.

LLMFlex is a python package designed for developing AI applications with local Large Language Models (LLMs). It provides classes to load LLM models, embedding models, and vector databases to create AI-powered solutions with prompt engineering and RAG techniques. The package supports multiple LLMs with different generation configurations, embedding toolkits, vector databases, chat memories, prompt templates, custom tools, and a chatbot frontend interface. Users can easily create LLMs, load embeddings toolkit, use tools, chat with models in a Streamlit web app, and serve an OpenAI API with a GGUF model. LLMFlex aims to offer a simple interface for developers to work with LLMs and build private AI solutions using local resources.

Groqnotes is a streamlit app that helps users generate organized lecture notes from transcribed audio using Groq's Whisper API. It utilizes Llama3-8b and Llama3-70b models to structure and create content quickly. The app offers markdown styling for aesthetic notes, allows downloading notes as text or PDF files, and strategically switches between models for speed and quality balance. Users can access the hosted version at groqnotes.streamlit.app or run it locally with streamlit by setting up the Groq API key and installing dependencies.

LLM-baselines is a modular codebase to experiment with transformers, inspired from NanoGPT. It provides a quick and easy way to train and evaluate transformer models on a variety of datasets. The codebase is well-documented and easy to use, making it a great resource for researchers and practitioners alike.

Open-Sora-Plan is a project that aims to create a simple and scalable repo to reproduce Sora (OpenAI, but we prefer to call it "ClosedAI"). The project is still in its early stages, but the team is working hard to improve it and make it more accessible to the open-source community. The project is currently focused on training an unconditional model on a landscape dataset, but the team plans to expand the scope of the project in the future to include text2video experiments, training on video2text datasets, and controlling the model with more conditions.

Neurite is an innovative project that combines chaos theory and graph theory to create a digital interface that explores hidden patterns and connections for creative thinking. It offers a unique workspace blending fractals with mind mapping techniques, allowing users to navigate the Mandelbrot set in real-time. Nodes in Neurite represent various content types like text, images, videos, code, and AI agents, enabling users to create personalized microcosms of thoughts and inspirations. The tool supports synchronized knowledge management through bi-directional synchronization between mind-mapping and text-based hyperlinking. Neurite also features FractalGPT for modular conversation with AI, local AI capabilities for multi-agent chat networks, and a Neural API for executing code and sequencing animations. The project is actively developed with plans for deeper fractal zoom, advanced control over node placement, and experimental features.

EmotiVoice is a powerful and modern open-source text-to-speech engine that supports emotional synthesis, enabling users to create speech with a wide range of emotions such as happy, excited, sad, and angry. It offers over 2000 different voices in both English and Chinese. Users can access EmotiVoice through an easy-to-use web interface or a scripting interface for batch generation of results. The tool is continuously evolving with new features and updates, prioritizing community input and user feedback.

KTransformers is a flexible Python-centric framework designed to enhance the user's experience with advanced kernel optimizations and placement/parallelism strategies for Transformers. It provides a Transformers-compatible interface, RESTful APIs compliant with OpenAI and Ollama, and a simplified ChatGPT-like web UI. The framework aims to serve as a platform for experimenting with innovative LLM inference optimizations, focusing on local deployments constrained by limited resources and supporting heterogeneous computing opportunities like GPU/CPU offloading of quantized models.

llmgraph is a tool that enables users to create knowledge graphs in GraphML, GEXF, and HTML formats by extracting world knowledge from large language models (LLMs) like ChatGPT. It supports various entity types and relationships, offers cache support for efficient graph growth, and provides insights into LLM costs. Users can customize the model used and interact with different LLM providers. The tool allows users to generate interactive graphs based on a specified entity type and Wikipedia link, making it a valuable resource for knowledge graph creation and exploration.

LLM-Drop is an official implementation of the paper 'What Matters in Transformers? Not All Attention is Needed'. The tool investigates redundancy in transformer-based Large Language Models (LLMs) by analyzing the architecture of Blocks, Attention layers, and MLP layers. It reveals that dropping certain Attention layers can enhance computational and memory efficiency without compromising performance. The tool provides a pipeline for Block Drop and Layer Drop based on LLaMA-Factory, and implements quantization using AutoAWQ and AutoGPTQ.

LABO is a time series forecasting and analysis framework that integrates pre-trained and fine-tuned LLMs with multi-domain agent-based systems. It allows users to create and tune agents easily for various scenarios, such as stock market trend prediction and web public opinion analysis. LABO requires a specific runtime environment setup, including system requirements, Python environment, dependency installations, and configurations. Users can fine-tune their own models using LABO's Low-Rank Adaptation (LoRA) for computational efficiency and continuous model updates. Additionally, LABO provides a Python library for building model training pipelines and customizing agents for specific tasks.

Curiso AI is an infinite canvas platform that connects nodes and AI services to explore ideas without repetition. It empowers advanced users to unlock richer AI interactions. Features include multi OS support, infinite canvas, multiple AI provider integration, local AI inference provider integration, custom model support, model metrics, RAG support, local Transformers.js embedding models, inference parameters customization, multiple boards, vision model support, customizable interface, node-based conversations, and secure local encrypted storage. Curiso also offers a Solana token for exclusive access to premium features and enhanced AI capabilities.

Crafting comic-style superhero personas!

Friendly image-to-sketch transformer for coloring books.

Transforms images/words into stag or rhino beetles.

Transforms images into 3D cartoon style with DALL-E

Turns sketches into academic figures.

I transform photos into cartoons, maintaining their original essence.

Transforms tweets into Facebook and Discord posts.

Expert in transforming photos into chibi-style illustrations using DALL-E.

Expert in viral tweets, diverse post types, and image ideas.

Transforms any character photos into Jojo style.

Transforms images with a 2050-2100 futuristic vision

Friendly, casual tone for fun photo transformations.

Converts Excel screenshots into editable files.

Recria imagens no estilo dos jogos GTA e Red Dead Redemption. | Recreates images in the style of GTA and Red Dead Redemption games

Whimsical title transformer and pie-inclusive recipe creator - type something like "make me a daft PIe Nation recipe for the film "Friday the Thirteenth" and watch as "Pieday the Thirteenth" teases you with meat and pastry horror...

Fun, casual rap style transformer, respects themes and enhances complexity.

Transformador de fotos multilingüe al estilo Simpsons

Transforms photos into JoJo-style Stands. Once uploading a photo, type: Create JoJo Stand

Generates, elevates, and transforms all types of communications, empowering you to effortlessly create messages in your style, invent new voices, or tap into its collection of learned tones.

Always transforms inputs into Lego art.