If you're looking for a non-profit organization that offers open-source machine learning models and datasets to help lower the carbon footprint of research, LAION is a great option. LAION is focused on making machine learning resources available for free with the goal of democratizing education and making computing more environmentally sustainable. They have a variety of datasets, including LAION-400M and LAION-5B, and tools like img2dataset and Clip Retrieval that can boost your research productivity.
Another great option is Hugging Face, an open-source collaborative machine learning platform that covers a lot of bases. It's got more than 400,000 models, 150,000 applications and access to more than 100,000 public datasets. With unlimited hosting, community support and access to the latest ML tools, Hugging Face can help you discover, build and deploy models and datasets.
If you're interested in large language models, LMSYS Org offers a number of open-source projects, including Vicuna, an open-source chatbot that comes in different sizes, and FastChat, an open platform for training, serving and evaluating chatbots. They also offer large-scale datasets for LLM evaluation and development, which can speed up innovation in this area.
Last, TensorFlow is an open-source, end-to-end machine learning platform with a flexible environment for building and running models. It comes with tools like TensorFlow Lite and TensorFlow.js, and resources like pre-trained models, datasets and community support. TensorFlow is used in many industries and is free to use, so it's a good choice for researchers and developers.