Here is a more comprehensive list of online AI platforms, dataset providers, model zoos, and related resources:

Online AI Platforms

  • Hugging Face: A collaborative platform primarily focused on natural language processing (NLP), offering a range of pre-trained language models, tools, and services.
  • Kaggle: A comprehensive platform for data science and artificial intelligence, hosting a wide variety of competitions with lucrative prizes.
  • Amazon Lex: Enables developers to build conversational chatbots quickly without deep learning expertise.
  • Metaflow: A human-friendly Python library for building and managing real-life data science projects, originally developed at Netflix.
  • MLflow: An open-source platform to manage the ML lifecycle, including experimentation, reproducibility, and deployment.
  • Comet.ml: Enables data scientists and teams to track, compare, explain, and optimize experiments and models across the model’s lifecycle.
  • Weights and Biases W&B: W&B is an AI developer platform that helps streamline the machine learning (ML) workflow from end to end.
  • Neptune.ai: Manages all model building metadata in a single place.
  • FloydHub: A platform for deploying deep learning models, allowing users to focus on the model while they handle deployment.
  • Google Cloud AI Platform: Provides a suite of tools and services for building, deploying, and managing machine learning models at scale.
  • Microsoft Azure Machine Learning: A cloud-based platform that provides tools and services for building, deploying, and managing machine learning models.
  • Databricks: A unified data analytics platform that supports the entire machine learning lifecycle, from data preparation to model deployment.
  • Vertex AI: Google’s managed machine learning platform that simplifies the process of building, deploying, and managing ML models.
  • Amazon SageMaker: A fully managed machine learning service that enables developers and data scientists to build, train, and deploy ML models quickly.

Dataset Providers

  • Hugging Face: A collection of datasets hosted on the Hugging Face platform, primarily focused on natural language processing.
  • Kaggle: A vast repository of datasets available on the Kaggle platform.
  • OpenML: An open science platform that provides a large collection of datasets, tasks, and experiments for machine learning.
  • Amazon Web Services (AWS) Open Data: A collection of publicly available datasets hosted on AWS for use in machine learning and data analysis.
  • Microsoft Azure Open Datasets: A collection of high-value public datasets hosted on Azure for use in machine learning and data analysis.
  • Google Cloud Public Datasets: A collection of publicly available datasets hosted on Google Cloud for use in machine learning and data analysis.