AI Models
663 tools
663 tools · page 25 of 28
Logo Diffusion generates logo concepts using image generation models rather than fixed templates, aimed at designers and founders wanting more original-feeling logo options.
Magic develops frontier AI models specialized for software engineering with very large context windows, aimed at handling entire codebases in a single reasoning pass.
One prompt every AI model - compare image and video generation across platforms
MaxAI.me is a browser extension that lets users chat with multiple AI models and use AI writing and summarization tools across any website they're browsing.
Merlin is a browser extension that gives users access to several AI chat models directly on any webpage, aimed at people who want AI assistance without switching tabs.
Metaphor is a search engine that uses language model-based understanding rather than keyword matching to find relevant web pages, aimed at surfacing content by meaning rather than exact phrasing.
Mistral AI develops a family of open-weight and commercial language models along with an API platform, positioned as Europe's leading alternative to US-based frontier model providers.
MLflow is an open-source tool for tracking experiments, packaging models, and managing deployment across the machine learning lifecycle, widely used as a free foundation for MLOps.
Modal lets developers run Python code, including AI model training and inference, on cloud GPUs by simply adding decorators to existing code, aimed at teams who want infrastructure without DevOps overhead.
Moonvalley builds the Marey video generation model trained exclusively on licensed footage, aimed at professional filmmakers and studios concerned about copyright risk in AI-generated video.
Clova is Naver's AI assistant platform built on the HyperCLOVA X language model, powering Korean-language conversational AI, translation, and voice services across Naver's products.
Neptune.ai tracks and organizes metadata from machine learning experiments, with particular focus on the scale needed for training and fine-tuning large foundation models.
Numerai runs an ongoing data science tournament where participants submit machine learning models to help power an actual hedge fund, aimed at data scientists who want to monetize predictive models.
NVIDIA NIM packages popular AI models as optimized, containerized microservices that developers can deploy on NVIDIA hardware, aimed at simplifying production AI deployment.
Obviously AI lets business users upload a spreadsheet and generate predictive models and forecasts without writing code, aimed at teams wanting quick AI predictions on their own data.
Ollama packages open-source language models to run locally with a single command, aimed at developers who want to experiment with or build on open models without cloud infrastructure.
The OpenAI API lets developers build on GPT models for text, image, and voice generation, along with tools for fine-tuning and running AI agents, powering a large share of third-party AI products.
OpenPipe captures a team's existing LLM API calls and uses that data to fine-tune smaller, cheaper models that match the original model's performance for that specific task.
OpenRouter provides a single API endpoint that routes requests to dozens of different language models from various providers, letting developers switch models without changing integration code.
Paige develops AI models that help pathologists detect cancer in tissue slide images more accurately, aimed at improving consistency in cancer diagnosis.
Paperspace provides cloud GPU instances and notebooks for training and running machine learning models, now operating as part of DigitalOcean's cloud platform.
Patronus AI provides tools for evaluating and testing large language models before and after deployment, aimed at enterprise teams that need to catch failures before they reach users.
Personal.ai lets users train a private AI model on their own messages, notes, and content, aimed at creating a personalized assistant that recalls a user's own history and knowledge.
Photo AI trains a personal model on a user's uploaded photos to generate new realistic images of them in different settings and outfits, aimed at creating social media content without a real photoshoot.