1. Introduction PySCF is an open-source Python library for quantum chemistry simulations. It provides a comprehensive set of tools for electronic structure calculations, including...
1. Introduction PyTorch Geometric (PyG) is an open-source library for building and training graph neural networks (GNNs) using PyTorch. It provides tools for working...
1. Introduction DGL (Deep Graph Library) is an open-source Python library designed for building and training graph neural networks (GNNs). It provides a flexible...
1. Introduction Haystack is an open-source framework for building end-to-end search systems powered by natural language processing (NLP). It enables developers to create intelligent...
1. Introduction OpenMM is an open-source toolkit for molecular dynamics simulations, designed to enable high-performance computations on GPUs and CPUs. It is widely used...
1. Introduction StyleGAN3, developed by NVIDIA, is a state-of-the-art generative adversarial network (GAN) designed for high-quality image synthesis. It builds upon the success of...
1. Introduction IBM Project CodeNet is a large-scale dataset and benchmark designed to advance AI for code understanding, generation, and translation. It contains over...
1. Introduction AlphaTensor, developed by DeepMind, is a groundbreaking AI system designed to discover efficient algorithms for matrix multiplication. Matrix multiplication is a fundamental...
1. Introduction JAX MD is an open-source library developed by DeepMind for performing molecular dynamics simulations using JAX. It combines the power of physics-based...
1. Introduction PyTorch Lightning is an open-source deep learning framework built on top of PyTorch. It simplifies the process of training, testing, and deploying...
1. Introduction Hugging Face Diffusers is an open-source library designed for building and deploying diffusion models, which are state-of-the-art generative models for tasks like...
1. Introduction DeepSpeed, developed by Microsoft, is a deep learning optimization library designed to enable efficient training of large-scale models. It provides tools for...
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...
