Best AI tools for< Export Models >

3D AI Studio is an AI-powered platform that allows users to create custom 3D models, animations, and textures in seconds. It is designed to be user-friendly and intuitive, with no requirement to master modeling or prompt crafting. Users can simply input a text prompt or upload an image for reference, and the platform will generate a high-quality 3D model in seconds. 3D AI Studio offers a range of features, including the ability to export models in a variety of formats, generate customized and realistic textures, and access a library of pre-made models. It is a valuable tool for a variety of professionals, including game developers, 3D artists, and designers.

Meshy is a free 3D AI model generator that empowers artists, game developers, and creators to bring their visions to life with a toolkit for creating 3D models in minutes. It offers powerful AI generation tools, lightning speed modeling, PBR maps, versatile art styles, and user-friendly interface. Meshy allows users to convert text to 3D, images to 3D models, and upload existing 3D models to transform words into textures. With multilingual support, API integration, and various export options, Meshy provides a seamless 3D workflow for users to unleash their creativity like never before.

Avaturn is a realistic 3D avatar creator that uses generative AI to turn a 2D photo into a recognizable and realistic 3D avatar. With endless options for avatar customization, you can create a unique look for each and everyone. Export your avatar as a 3D model and load it in Blender, Unity, Unreal Engine, Maya, Cinema4D, or any other 3D environment. The avatars come with a standard humanoid body rig, ARKit blendshapes, and visemes. They are compatible with Mixamo animations and VTubing software.

MacCopilot is an ultimate copilot app for macOS integrated with advanced AI models like GPT-4, ClaudeAI, and Google Gemini. It allows users to capture any part of their screen, chat with AI for insights, and export content as Markdown. The application is designed for macOS 12.0 and later, offering a revolutionary way to interact with screen content.

Legal Assist AI is an industry-leading startup that offers cutting-edge, AI-driven services to revolutionize the legal landscape. Founded by James Bratton, the platform provides automated contract analysis, intelligent case management systems, and predictive analytics tailored for the legal profession. With a vision to redefine efficiency and elevate the quality of legal services, Legal Assist AI aims to transform the future of legal work through innovative AI technology.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

Semaj AI is an AI tool designed to simplify the process of generating quizzes and obtaining answers from various AI models. It allows users to create quizzes on any topic with customizable settings and export options. Additionally, users can chat with different AI models like GPT, Gemini, and CLAUDE to get accurate and diverse responses. The platform aims to streamline the quiz creation process and provide access to cutting-edge AI technologies for enhanced learning and research purposes.

Entry Point AI is a modern AI optimization platform for fine-tuning proprietary and open-source language models. It provides a user-friendly interface to manage prompts, fine-tunes, and evaluations in one place. The platform enables users to optimize models from leading providers, train across providers, work collaboratively, write templates, import/export data, share models, and avoid common pitfalls associated with fine-tuning. Entry Point AI simplifies the fine-tuning process, making it accessible to users without the need for extensive data, infrastructure, or insider knowledge.

Labellerr is a data labeling software that helps AI teams prepare high-quality labels 99 times faster for Vision, NLP, and LLM models. The platform offers automated annotation, advanced analytics, and smart QA to process millions of images and thousands of hours of videos in just a few weeks. Labellerr's powerful analytics provides full control over output quality and project management, making it a valuable tool for AI labeling partners.

Julius AI is an advanced AI data analyst tool that allows users to analyze data with computational AI, chat with files to get expert-level insights, create sleek data visualizations, perform modeling and predictive forecasting, solve math, physics, and chemistry problems, generate polished analyses and summaries, save time by automating data work, and unlock statistical modeling without complexity. It offers features like generating visualizations, asking data questions, effortless cleaning, instant data export, creating animations, and supercharging data analysis. Julius AI is loved by over 1,200,000 users worldwide and is designed to help knowledge workers make the most out of their data.

Quest is a web-based application that allows users to generate React code from their designs. It incorporates AI models to generate real, useful code that incorporates all the things professional developers care about. Users can use Quest to build new applications, add to existing applications, and create design systems and libraries. Quest is made for development teams and integrates with the design and dev tools that users love. It is also built for the most demanding product teams and can be used to build new applications, build web pages, and create component templates.

Teachable Machine is a web-based tool that makes it easy to create custom machine learning models, even if you don't have any coding experience. With Teachable Machine, you can train models to recognize images, sounds, and poses. Once you've trained a model, you can export it to use in your own projects.

PromptChainer is a powerful AI flow generation tool that allows users to create complex AI-driven flows with ease using a visual flow builder. It seamlessly integrates AI and traditional programming, enabling users to chain prompts and models and manage AI-generated insights on large-scale data effortlessly. With pre-built templates, a user-friendly database, and versatile logic nodes, PromptChainer empowers users to build custom flows or applications with infinite possibilities.

Writei is an AI-powered assistant that utilizes advanced language models like ChatGPT 4o to provide conversational and helpful interactions. It offers cutting-edge AI capabilities for text generation, content writing, and various writing needs. Users can access over 267 AI-powered templates, collaborate with team members, seamlessly export content, and receive dedicated customer support. Writei stands out for its multilingual support, WordPress integration, affordable pricing plans, and advanced AI features like AI Vision, AI Voiceover, and AI Code Generator.

Eraser AI is an AI-powered copilot for technical design, offering an all-in-one markdown editor, collaborative canvas, and diagram-as-code builder. It enables engineering teams to create diagrams, design docs, and documentation collaboratively and efficiently. With features like robust file management, blazing fast file search, wikilinks & mentions, and GitHub integration, Eraser AI streamlines the process of visualizing infrastructure, data models, process flows, and logic flows. It provides a minimal tool design for maintaining flow and focus, version history for safety, and performance optimization for distraction-free work. Additionally, Eraser AI offers workflow integration, markdown formatting, export capabilities, and enterprise-grade security features, making it a trusted tool for technical teams worldwide.

Monster Mash is a new sketch-based modeling and animation tool that allows you to quickly sketch a character, inflate it into 3D, and promptly animate it. You can perform all interactions in the sketching plane. No 3D manipulation is required.

ClipFM is an AI-powered clip maker that helps creators turn long-form videos into short, engaging clips for social media. With ClipFM, you can easily find the best moments from your content, customize them, and export them in seconds. ClipFM is perfect for podcasters, editors, marketers, agencies, and studios who want to save time and money on video editing.

Knit is an AI playground for prompt designers. It provides professional prompt editors with various models, including GPT-4-turbo/vision, Claude-3, Gemini-pro, and more. Users can store, edit, and run their prompts in Knit. It also offers project management features, allowing users to organize prompts with projects, set up projects for different use cases, and collaborate with team members. Knit supports different kinds of models, including OpenAI, Claude, Azure OpenAI, and plans to support more in the future. It allows users to control API parameters, export code instantly, and provides security features such as encryption and version control.

BuildShip is a batch processing tool for ChatGPT that allows users to process ChatGPT tasks in parallel on a spreadsheet UI with CSV/JSON import and export. It supports various OpenAI models, including GPT4, Claude 3, and Gemini. Users can start with readymade templates and customize them with their own logic and models. The data generated is stored securely on the user's own Google Cloud project, and team collaboration is supported with granular access control.

Karla is an AI tool designed for journalists to enhance their writing process by utilizing Large Language Models (LLMs). It helps journalists transform news information into well-structured articles efficiently, augment their sources, customize stories seamlessly, enjoy a sleek editing experience, and export their completed stories easily. Karla acts as a wrapper around the LLM of choice, providing dynamic prompts and integration into a text editor and workflow, allowing journalists to focus on writing without manual prompt crafting. It offers benefits over traditional LLM chat apps by providing efficient prompt crafting, seamless integration, enhanced outcomes, faster performance, model flexibility, and relevant content tailored for journalism.

libLLM is an open-source project designed for efficient inference of large language models (LLM) on personal computers and mobile devices. It is optimized to run smoothly on common devices, written in C++14 without external dependencies, and supports CUDA for accelerated inference. Users can build the tool for CPU only or with CUDA support, and run libLLM from the command line. Additionally, there are API examples available for Python and the tool can export Huggingface models.

The NeMo Framework Launcher is a cloud-native tool designed for launching end-to-end NeMo Framework training jobs. It focuses on foundation model training for generative AI models, supporting large language model pretraining with techniques like model parallelism, tensor, pipeline, sequence, distributed optimizer, mixed precision training, and more. The tool scales to thousands of GPUs and can be used for training LLMs on trillions of tokens. It simplifies launching training jobs on cloud service providers or on-prem clusters, generating submission scripts, organizing job results, and supporting various model operations like fine-tuning, evaluation, export, and deployment.

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.

Fastc is a tool focused on CPU execution, using efficient models for embedding generation and cosine similarity classification. It allows for efficient multi-classifier execution without extra overhead. Users can easily train text classifiers, export models, publish to HuggingFace, load existing models, make class predictions, use instruct templates, and launch an inference server. The tool provides an HTTP API for text classification with JSON payloads and supports multiple languages for language identification.

Speechless.AI is committed to integrating the superior language processing and deep reasoning capabilities of large language models into practical business applications. By enhancing the model's language understanding, knowledge accumulation, and text creation abilities, and introducing long-term memory, external tool integration, and local deployment, our aim is to establish an intelligent collaborative partner that can independently interact, continuously evolve, and closely align with various business scenarios.

moai is a PyTorch-based AI Model Development Kit (MDK) designed to improve data-driven model workflows, design, and understanding. It offers modularity via monads for model building blocks, reproducibility via configuration-based design, productivity via a data-driven domain modelling language (DML), extensibility via plugins, and understanding via inter-model performance and design aggregation. The tool provides specific integrated actions like play, train, evaluate, plot, diff, and reprod to support heavy data-driven workflows with analytics, knowledge extraction, and reproduction. moai relies on PyTorch, Lightning, Hydra, TorchServe, ONNX, Visdom, HiPlot, Kornia, Albumentations, and the wider open-source community for its functionalities.

llmc is an off-the-shell tool designed for compressing LLM, leveraging state-of-the-art compression algorithms to enhance efficiency and reduce model size without compromising performance. It provides users with the ability to quantize LLMs, choose from various compression algorithms, export transformed models for further optimization, and directly infer compressed models with a shallow memory footprint. The tool supports a range of model types and quantization algorithms, with ongoing development to include pruning techniques. Users can design their configurations for quantization and evaluation, with documentation and examples planned for future updates. llmc is a valuable resource for researchers working on post-training quantization of large language models.

The `ai-models` command is a tool used to run AI-based weather forecasting models. It provides functionalities to install, run, and manage different AI models for weather forecasting. Users can easily install and run various models, customize model settings, download assets, and manage input data from different sources such as ECMWF, CDS, and GRIB files. The tool is designed to optimize performance by running on GPUs and provides options for better organization of assets and output files. It offers a range of command line options for users to interact with the models and customize their forecasting tasks.

MaskLLM is a learnable pruning method that establishes Semi-structured Sparsity in Large Language Models (LLMs) to reduce computational overhead during inference. It is scalable and benefits from larger training datasets. The tool provides examples for running MaskLLM with Megatron-LM, preparing LLaMA checkpoints, pre-tokenizing C4 data for Megatron, generating prior masks, training MaskLLM, and evaluating the model. It also includes instructions for exporting sparse models to Huggingface.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

Sunone Aimbot is an AI-powered aim bot for first-person shooter games. It leverages YOLOv8 and YOLOv10 models, PyTorch, and various tools to automatically target and aim at enemies within the game. The AI model has been trained on more than 30,000 images from popular first-person shooter games like Warface, Destiny 2, Battlefield 2042, CS:GO, Fortnite, The Finals, CS2, and more. The aimbot can be configured through the `config.ini` file to adjust various settings related to object search, capture methods, aiming behavior, hotkeys, mouse settings, shooting options, Arduino integration, AI model parameters, overlay display, debug window, and more. Users are advised to follow specific recommendations to optimize performance and avoid potential issues while using the aimbot.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

Educhain is a powerful Python package that leverages Generative AI to create engaging and personalized educational content. It enables users to generate multiple-choice questions, create lesson plans, and support various LLM models. Users can export questions to JSON, PDF, and CSV formats, customize prompt templates, and generate questions from text, PDF, URL files, youtube videos, and images. Educhain outperforms traditional methods in content generation speed and quality. It offers advanced configuration options and has a roadmap for future enhancements, including integration with popular Learning Management Systems and a mobile app for content generation on-the-go.

Mistral Inference repository contains minimal code to run 7B, 8x7B, and 8x22B models. It provides model download links, installation instructions, and usage guidelines for running models via CLI or Python. The repository also includes information on guardrailing, model platforms, deployment, and references. Users can interact with models through commands like mistral-demo, mistral-chat, and mistral-common. Mistral AI models support function calling and chat interactions for tasks like testing models, chatting with models, and using Codestral as a coding assistant. The repository offers detailed documentation and links to blogs for further information.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system. The core features of SGLang include: - **A Flexible Front-End Language**: This allows for easy programming of LLM applications with multiple chained generation calls, advanced prompting techniques, control flow, multiple modalities, parallelism, and external interaction. - **A High-Performance Runtime with RadixAttention**: This feature significantly accelerates the execution of complex LLM programs by automatic KV cache reuse across multiple calls. It also supports other common techniques like continuous batching and tensor parallelism.

The Ultralytics YOLO iOS App GitHub repository offers an advanced object detection tool leveraging YOLOv8 models for iOS devices. Users can transform their devices into intelligent detection tools to explore the world in a new and exciting way. The app provides real-time detection capabilities with multiple AI models to choose from, ranging from 'nano' to 'x-large'. Contributors are welcome to participate in this open-source project, and licensing options include AGPL-3.0 for open-source use and an Enterprise License for commercial integration. Users can easily set up the app by following the provided steps, including cloning the repository, adding YOLOv8 models, and running the app on their iOS devices.

Mutahunter is an open-source language-agnostic mutation testing tool maintained by CodeIntegrity. It leverages LLM models to inject context-aware faults into codebase, ensuring comprehensive testing. The tool aims to empower companies and developers to enhance test suites and improve software quality by verifying the effectiveness of test cases through creating mutants in the code and checking if the test cases can catch these changes. Mutahunter provides detailed reports on mutation coverage, killed mutants, and survived mutants, enabling users to identify potential weaknesses in their test suites.

llm-export is a tool for exporting llm models to onnx and mnn formats. It has features such as passing onnxruntime correctness tests, optimizing the original code to support dynamic shapes, reducing constant parts, optimizing onnx models using OnnxSlim for performance improvement, and exporting lora weights to onnx and mnn formats. Users can clone the project locally, clone the desired LLM project locally, and use LLMExporter to export the model. The tool supports various export options like exporting the entire model as one onnx model, exporting model segments as multiple models, exporting model vocabulary to a text file, exporting specific model layers like Embedding and lm_head, testing the model with queries, validating onnx model consistency with onnxruntime, converting onnx models to mnn models, and more. Users can specify export paths, skip optimization steps, and merge lora weights before exporting.

Export LLM like llama to ONNX files without modifying transformers modeling_xx_model.py. Supported models include llama (Hugging Face format), Baichuan, Alibaba Qwen 1.5/2, ChatGlm2/ChatGlm3, and Gemma. Usage examples provided for exporting different models to ONNX files. Various arguments can be used to configure the export process. Note on uninstalling/disabling FlashAttention and xformers before model conversion. Recommendations for handling kv_cache format and simplifying large ONNX models. Disclaimer regarding correctness of exported models and consequences of usage.

A cat-themed HR expert providing models, advice, and summaries.

Expert in applying mental models across various domains.

Expert in creating and refining digital human models.

Expert in Marian NMT models and training

“Data Deep Dive”: This is an expert AI tool for Excel and Power BI. Get expert help with DAX, Power Query, VBA, data models, and visualizations. Ideal for all levels: from basic functions to advanced analytics.

Expert in designing GPT models and translating user needs into technical specs.

A financial expert building optimized macroeconomic models from a renowned book.

This prompt is designed to act as an expert psychologist in personality analysis, using three different psychological models: the Big Five Factor model, the Myers-Briggs Sixteen Types model, and the Enneagram model.

ML/DL expert focused on mathematical modeling, Kaggle competitions, and advanced ML models.

An expert in Human Anatomy, be it for art or science or education, anything relating to the human body, come ask me. I will provide photo-realistic visual aids and AI created models to expound on different parts of the anatomy

GPT Money Maker is an AI expert in monetizing GPT technology, offering step-by-step strategies and creative insights for financial gain using GPT models.

Expert in diagnosing and fixing GPT issues.

大型语言模型的学习和训练指导专家

Expert BIM & des technologies numériques

A detailed expert trained on all 3,018 pages of Apple CoreML, offering complete coding solutions. Saving time? https://www.buymeacoffee.com/parkerrex ☕️❤️

Learn and design sustainable tokenomics

Skilled in Python, Linux, R, and more.

Assists with ROMS and COAWST modeling in Linux environments.

Expert economist with access to real-time data.

Expert in Hugging Face platform tools and resources