NumPy: The Foundation of Scientific Computing in Python
1. Introduction NumPy is a fundamental library for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a...
1. Introduction NumPy is a fundamental library for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a...
1. Introduction DeepChem is an open-source Python library designed for applying machine learning to drug discovery, quantum chemistry, and material science. It provides tools...
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 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 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 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 Pulumi is a cutting-edge infrastructure as code (IaC) tool that allows developers and DevOps engineers to define cloud infrastructure using general-purpose programming...