SciPy: Advanced Scientific Computing in Python
1. Introduction SciPy is an open-source Python library used for advanced scientific and technical computing. Built on top of NumPy, SciPy provides modules for...
1. Introduction SciPy is an open-source Python library used for advanced scientific and technical computing. Built on top of NumPy, SciPy provides modules for...
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 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 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 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 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 AlphaCode, developed by DeepMind, is an advanced AI system designed to solve competitive programming problems. It uses large-scale language models trained on...
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 Perceiver, developed by DeepMind, is a groundbreaking deep learning architecture designed to process and integrate diverse data modalities, including images, text, audio,...
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...