ClimateLearn: Machine Learning for Climate Science
1. Introduction ClimateLearn is an open-source Python library designed to simplify the application of machine learning to climate science. It provides tools for processing...
1. Introduction ClimateLearn is an open-source Python library designed to simplify the application of machine learning to climate science. It provides tools for processing...
1. Introduction NVIDIA Modulus is a state-of-the-art deep learning framework for building and training physics-informed neural networks (PINNs). PINNs are a class of neural...
1. Introduction The Open Catalyst Project (OCP), developed by Meta AI and Carnegie Mellon University, is an open-source initiative that uses AI to discover...
1. Introduction FinRL is an open-source framework designed to apply reinforcement learning (RL) techniques to financial applications such as stock trading, portfolio optimization, and...
1. Introduction AlphaFold, developed by DeepMind, is an advanced AI system for predicting protein structures with unprecedented accuracy. Proteins are the building blocks of...
1. Introduction Stable Diffusion is an advanced text-to-image generation model that allows users to create high-quality images from textual descriptions. Developed by Stability AI,...
1. Introduction Hugging Face Transformers is a powerful open-source library designed for natural language processing (NLP) tasks. It provides pre-trained models for tasks like...