Best AI tools for< Generate Pytorch Code >

I apologize, but the provided website page text does not contain sufficient information to generate a detailed description of the website. The text only mentions the name of the application, "Lightning AI", and indicates that JavaScript is required to run the app. Without further context or content from the website, I cannot provide a comprehensive description.

Generate is an experiment to generate data from LLM. It is now deprecated.

Self-Introduction Generate AI is an innovative platform designed to assist individuals and businesses in crafting compelling and effective self-introductions. It leverages advanced AI technology to understand context and generate personalized content. The platform can analyze and understand various types of input, including text and context, to generate tailored self-introductions that are engaging and informative, enhancing personal and professional branding. With features like quick response times, quality assurance, and specialized service for self-introductions, it is an ideal tool for job applications, networking events, and personal branding initiatives.

Nextatlas Generate Suite is a cutting-edge AI-powered trend forecasting service that revolutionizes market research and consumer behavior analysis. It offers a full array of specialized assistants to provide detailed workflow planning, innovation scouting, trend tracking, and brand strategy advice. The suite includes GenAI Agents for efficient workflows, a Chat feature for advanced insights, Persona Generator for persona development, Ingredient Discovery Agent for food innovation, and more. Generate Suite is designed to support professionals in future-ready strategies across various industries and geographies, powered by real-time data and AI technology.

ZMO.AI is a free AI image generator tool that allows users to create stunning AI art, images, anime, and realistic photos from text or images with a simple click of a button. The tool offers a full suite of powerful features to generate, remove, expand, or edit images like a pro using AI magic. With ZMO.AI, users can effortlessly generate anime and manga characters, flawless portrait photos, and realistic backgrounds. The application is trusted by over 1,000,000 users worldwide for its high-quality AI image generation capabilities.

Dezgo is a text-to-image AI image generator powered by Stable Diffusion AI. It allows users to generate images from text descriptions. The tool offers various features such as controlled text-to-image, image-to-image upscale, inpainting from text, editing images from text, removing backgrounds, and text-to-video generation. Dezgo also provides access to models, APIs, and an affiliate program.

Namelix by Brandmark.io is a free AI-powered business name generator that helps users create short, brandable names using artificial intelligence. The tool generates catchy names with a state-of-the-art language model, allowing users to filter results based on their preferences. Users can save their favorite names, and the algorithm learns from their choices to provide better recommendations over time. Namelix aims to address the challenge of limited naming options for new businesses by offering unique, memorable, and affordable branded names. Additionally, users can create a professional logo for their business using Brandmark.io.

This free AI story generator can help you create unique and engaging stories in seconds. Simply enter a few details about your story, and our AI will generate a complete story for you. You can use this tool to generate story ideas, write short stories, or even create entire novels.

SEO Writing AI is an AI-powered writing tool that helps users create SEO-optimized articles, blog posts, and affiliate content in just a few clicks. With its user-friendly interface and advanced features, SEO Writing AI makes it easy for anyone to generate high-quality content that ranks well in search results. Some of the key features of SEO Writing AI include the ability to generate articles in over 48 languages, automatically post articles to WordPress, and optimize content for specific keywords. SEO Writing AI also offers a variety of templates and tools to help users create engaging and informative content. Overall, SEO Writing AI is a valuable tool for anyone who wants to improve their content marketing efforts.

Photo AI is an AI-powered photo generator that allows users to create realistic images of people in various poses, settings, and actions. With Photo AI, users can upload their selfies to create their own AI model, which can then be used to generate photos in any pose, place, or action. Photo AI also offers a variety of photo packs, which provide users with pre-made photo templates and prompts. Additionally, Photo AI allows users to upload clothes to dress their AI model, and to create AI-generated fashion designs with Sketch2Image.

ZMO.AI is a free AI Image Generator that allows users to create stunning AI art, images, anime, and realistic photos from text or images with a simple click of a button. The platform offers a full suite of powerful AI image generation tools, including AI Photo Editor, AI Anime Generator, AI Background Changer, AI Video Generator, and more. Trusted by over 1,000,000 users worldwide, ZMO.AI provides studio-quality photo editing capabilities, background removal, image generation, and editing features powered by AI magic. Users can easily generate high-quality anime, manga characters, portraits, and images with versatile styles using the AI tools available on the platform.

Qodo is a quality-first generative AI coding platform that helps developers write, test, and review code within IDE and Git. The platform offers automated code reviews, contextual suggestions, and comprehensive test generation, ensuring robust, reliable software development. Qodo integrates seamlessly to maintain high standards of code quality and integrity throughout the development process.

This Person Does Not Exist is a website that generates random, realistic faces of people who do not exist. The website uses a neural network called StyleGAN, developed by Nvidia, to create these faces. StyleGAN is a generative adversarial network (GAN), which is a type of machine learning algorithm that can generate new data from a given dataset. In the case of StyleGAN, the dataset is a collection of images of human faces. The GAN is trained on this dataset, and it learns to generate new faces that are realistic and indistinguishable from real faces.

NICE is a leading Customer Experience (CX) AI Platform offering a range of AI-driven solutions for businesses to enhance customer experiences, optimize workforce engagement, and improve operational efficiency. The platform provides AI companions for contact center employees, AI-driven customer self-service, AI tools for CX leaders, and actionable insights through CX analytics. NICE also offers solutions tailored for various industries such as healthcare, retail, financial services, insurance, telecom, travel, and hospitality. With a focus on transforming experiences with AI, NICE helps businesses identify behaviors that drive frictionless customer experiences, boost customer loyalty, empower agents, and drive digital transformation.

OnlyWaifus.ai is an AI-powered tool that allows users to generate uncensored, photorealistic images of anime-style female characters. The tool is easy to use and requires no technical knowledge. Users simply need to describe the waifu they want to generate, and the tool will create an image that matches their specifications. OnlyWaifus.ai offers a variety of different styles to choose from, so users can create waifus that are cute, sexy, or even dark and twisted. The tool is also constantly being updated with new features and content, so users can always find something new to enjoy.

GlamGirls.ai is a website that allows users to generate AI-powered virtual girlfriends. Users can choose from a variety of different girlfriends, each with her own unique personality and appearance. GlamGirls.ai also offers a variety of features that allow users to interact with their girlfriends, such as chatting, sending gifts, and going on dates.

Elai.io is an advanced tool that utilizes the power of artificial intelligence to simplify and automate the video creation process. Our aim in Elai.io is to offer a user-friendly platform that welcomes individuals at any skill level in video production. Users can outline their video’s theme and narrative through an easy-to-navigate text interface, enriching it further with various multimedia components like images, texts, and sounds. This synergy between AI and user creativity enables the crafting of videos that are rich in information and visually stunning.

Prospre is a meal planning app that helps users create personalized meal plans based on their calorie and macro goals. The app also includes a macro tracker, a recipe database, and a grocery list generator. Prospre is designed to make it easy for users to eat healthy and reach their fitness goals.

Sloyd is an AI-powered 3D model generator that allows users to create 3D models from text prompts. The platform offers a wide range of features, including a huge 3D model library, easy customization of 3D models, and ready-to-use 3D models. Sloyd is ideal for game developers, designers, and 3D enthusiasts who need to create high-quality 3D models quickly and efficiently.

The AI Color Palette Generator is a web-based tool that allows users to browse, edit, visualize, and generate unique color palettes. It features a library of pre-made palettes, as well as the ability to create custom palettes from scratch. The tool also includes a variety of features to help users visualize and compare different color combinations.

This project provides Rust code that follows the text 'Build An LLM From Scratch' by Sebastian Raschka. It translates PyTorch code into Rust using the Candle crate, aiming to build a GPT-style LLM. Users can clone the repo, run examples/exercises, and access the same datasets as in the book. The project includes chapters on understanding large language models, working with text data, coding attention mechanisms, implementing a GPT model, pretraining unlabeled data, fine-tuning for classification, and fine-tuning to follow instructions.

Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

Ivy is an open-source machine learning framework that enables users to convert code between different ML frameworks and write framework-agnostic code. It allows users to transpile code from one framework to another, making it easy to use building blocks from different frameworks in a single project. Ivy also serves as a flexible framework that breaks free from framework limitations, allowing users to publish code that is interoperable with various frameworks and future frameworks. Users can define trainable modules and layers using Ivy's stateful API, making it easy to build and train models across different backends.

Kafka-ML is a framework designed to manage the pipeline of Tensorflow/Keras and PyTorch machine learning models on Kubernetes. It enables the design, training, and inference of ML models with datasets fed through Apache Kafka, connecting them directly to data streams like those from IoT devices. The Web UI allows easy definition of ML models without external libraries, catering to both experts and non-experts in ML/AI.

VSP-LLM (Visual Speech Processing incorporated with LLMs) is a novel framework that maximizes context modeling ability by leveraging the power of LLMs. It performs multi-tasks of visual speech recognition and translation, where given instructions control the task type. The input video is mapped to the input latent space of a LLM using a self-supervised visual speech model. To address redundant information in input frames, a deduplication method is employed using visual speech units. VSP-LLM utilizes Low Rank Adaptors (LoRA) for computationally efficient training.

LLM training in simple, pure C/CUDA. There is no need for 245MB of PyTorch or 107MB of cPython. For example, training GPT-2 (CPU, fp32) is ~1,000 lines of clean code in a single file. It compiles and runs instantly, and exactly matches the PyTorch reference implementation. I chose GPT-2 as the first working example because it is the grand-daddy of LLMs, the first time the modern stack was put together.

The Everything-LLMs-And-Robotics repository is the world's largest GitHub repository focusing on the intersection of Large Language Models (LLMs) and Robotics. It provides educational resources, research papers, project demos, and Twitter threads related to LLMs, Robotics, and their combination. The repository covers topics such as reasoning, planning, manipulation, instructions and navigation, simulation frameworks, perception, and more, showcasing the latest advancements in the field.

Unsloth is a tool that allows users to fine-tune large language models (LLMs) 2-5x faster with 80% less memory. It is a free and open-source tool that can be used to fine-tune LLMs such as Gemma, Mistral, Llama 2-5, TinyLlama, and CodeLlama 34b. Unsloth supports 4-bit and 16-bit QLoRA / LoRA fine-tuning via bitsandbytes. It also supports DPO (Direct Preference Optimization), PPO, and Reward Modelling. Unsloth is compatible with Hugging Face's TRL, Trainer, Seq2SeqTrainer, and Pytorch code. It is also compatible with NVIDIA GPUs since 2018+ (minimum CUDA Capability 7.0).

RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode. So it's combining the best of RNN and transformer - **great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding** (using the final hidden state).

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

AI4Animation is a comprehensive framework for data-driven character animation, including data processing, neural network training, and runtime control, developed in Unity3D/PyTorch. It explores deep learning opportunities for character animation, covering biped and quadruped locomotion, character-scene interactions, sports and fighting games, and embodied avatar motions in AR/VR. The research focuses on generative frameworks, codebook matching, periodic autoencoders, animation layering, local motion phases, and neural state machines for character control and animation.

This repository contains the code for coding, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch). In _Build a Large Language Model (From Scratch)_, you'll discover how LLMs work from the inside out. In this book, I'll guide you step by step through creating your own LLM, explaining each stage with clear text, diagrams, and examples. The method described in this book for training and developing your own small-but-functional model for educational purposes mirrors the approach used in creating large-scale foundational models such as those behind ChatGPT.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

This repository is a Chinese translation of the GitHub project 'LLMs-from-scratch', including detailed markdown notes and related Jupyter code. The translation process aims to maintain the accuracy of the original content while optimizing the language and expression to better suit Chinese learners' reading habits. The repository features detailed Chinese annotations for all Jupyter code, aiding users in practical implementation. It also provides various supplementary materials to expand knowledge. The project focuses on building Large Language Models (LLMs) from scratch, covering fundamental constructions like Transformer architecture, sequence modeling, and delving into deep learning models such as GPT and BERT. Each part of the project includes detailed code implementations and learning resources to help users construct LLMs from scratch and master their core technologies.

This repository provides a detailed tutorial on how to build your own large language model (LLM) from scratch. It includes all the code necessary to create a GPT-like LLM, covering the encoding, pre-training, and fine-tuning processes. The tutorial is written in a clear and concise style, with plenty of examples and illustrations to help you understand the concepts involved. It is suitable for developers and researchers with some programming experience who are interested in learning more about LLMs and how to build them.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

The collection of pre-trained, state-of-the-art AI models. ailia SDK is a self-contained, cross-platform, high-speed inference SDK for AI. The ailia SDK provides a consistent C++ API across Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi platforms. It also supports Unity (C#), Python, Rust, Flutter(Dart) and JNI for efficient AI implementation. The ailia SDK makes extensive use of the GPU through Vulkan and Metal to enable accelerated computing. # Supported models 323 models as of April 8th, 2024

This repository contains code and configurations for the LLM - Detect AI Generated Text competition. It includes setup instructions for hardware, software, dependencies, and datasets. The training section covers scripts and configurations for training LLM models, DeBERTa ranking models, and an embedding model. Text generation section details fine-tuning LLMs using the CLM objective on the PERSUADE corpus to generate student-like essays.

NExT-GPT is an end-to-end multimodal large language model that can process input and generate output in various combinations of text, image, video, and audio. It leverages existing pre-trained models and diffusion models with end-to-end instruction tuning. The repository contains code, data, and model weights for NExT-GPT, allowing users to work with different modalities and perform tasks like encoding, understanding, reasoning, and generating multimodal content.

Generates PyTorch code from neural network images.

Generates Angular components based on requirements, with a focus on code-first responses.

Transforms lines into detailed prompts for visual storytelling.

Discover how your writing can shine with a unique and human style. This prompt guides you to create rich and varied texts, surprising with original twists and maintaining coherence and originality. Transform your writing and challenge AI detection tools!

Generate captions for your image and choose the vibe you like.

I generate top 10 PLG strategies in a table format

I generate viral GPT ideas based on your inputs.

Generate your eslint rule

I generate witty trash talk for fantasy football leagues.

Generate dreamy landscapes with silhouette persons

Helps you generate script keyframes, for better experience please visit museclip.ai

I generate tattoo design ideas based on your preferences.

Extract the essence of the novel story according to the quantity requirements and generate corresponding images. The images can be used directly to create novel videos.小说推文图片自动批量生成,可自动生成风格一致性图片

This GPT can generate code for you. For now it creates full-stack apps using Typescript. Just describe the feature you want and you will get a link to the Github code pull request and the live app deployed.

Generate personalized book covers

Generate Good Morning Messages for WhatsApp

I generate catchy product taglines.

I generate concise Chakra UI code from UI images or requirements.

I design Hearthstone cards and generate art.

Generate badass hacker art and profile pics.